白戸則道® 白戸則道®This is an academic research by apply R statistics analysis to an agency A of an existing betting consultancy firm A. According to the Dixon and Pope (2004)1 Kindly refer to 24th paper in Reference for industry knowdelege and academic research portion for the paper. in 7.4 References, due to business confidential and privacy I am also using agency A and firm A in this paper. The purpose of the anaysis is measure the staking model of the firm A. For more sample which using R for Soccer Betting see http://rpubs.com/englianhu. Here is the references of rmarkdown and An Introduction to R Markdown. You are welcome to read the Tony Hirst (2014)2 Kindly refer to 1st paper in Reference for technical research on programming and coding portion for the paper. in 7.4 References if you are getting interest to write a data analysis on Sports-book.
Before we start modelling, we look at the summary of investment return rates.
table 4.1.1 : 5 x 5 : Return of annually investment summary table.
\[\Re = \sum_{i=1}^{n}\rho_{i}^{EM}/\sum_{i=1}^{n}\rho_{i}^{BK}\] equation 4.1.1
\(\Re\) is the return rates of investment. The \(\rho_i^{EM}\) is the estimated probabilities which is the calculated by firm A from match 1,2… until \(n\) matches while \(\rho_{i}^{BK}\) is the net/pure probability (real odds) offer by bookmakers after we fit the equation 4.1.2 into equation 4.1.1.
\[\rho_i = P_i^{Lay} / (P_i^{Back} + P_i^{Lay})\] equation 4.1.2
\(P_i^{Back}\) and \(P_i^{Lay}\) is the backed and layed fair price offer by bookmakers.
We can simply apply equation above to get the value \(\Re\). From the table above we know that the EMPrice calculated by firm A invested at a threshold edge (price greater) 1.0769894, 1.1072203, 1.0781056, 1.1148426, 1.0671108 than the prices offer by bookmakers. There are some description about \(\Re\) on Dixon and Coles (1996)3 Kindly refer to 25th paper in Reference for industry knowdelege and academic research portion for the paper. under 7.4 References. The optimal value of \(\rho_{i}\) (rEMProbB) will be calculated based on bootstrapping/resampling method in section 4.3 Kelly Ⓜodel.
table 4.1.2 : 48640 x 45 : Odds price and probabilities sample table.
Above table list a part of sample odds prices and probabilities of soccer match \(i\) while \(n\) indicates the number of soccer matches. We can know the values rEMProbB, netProbB and so forth.
graph 4.1.1 : A sample graph about the relationship between the investmental probabilities -vs- bookmakers’ probabilities.
Graph above shows the probabilities calculated by firm A to back against real probabilities offered by bookmakers over 48640 soccer matches.
Now we look at the result of the soccer matches.
table 4.1.3 : 7 x 8 : Summary of betting results.
The table above summarize the stakes and return on soccer matches result. Well, below table list the handicaps placed by firm A on agency A. I list the handicap prior to test the coefficient according to the handicap in next section 4.2 Linear Ⓜodel.
table 4.1.4 : 6 x 8 : The handicap in sample data.
From our understanding of staking, the covariates we need to consider should be only odds price since the handicap’s covariate has settled according to different handicap of EMOdds.
Again, I don’t pretend to know the correct Ⓜodel, here I simply apply linear model to retrieve the value of EMOdds derived from stakes. The purpose of measure the edge overcame bookmakers’ vigorish is to know the levarage of the staking activities onto 1 unit edge of odds price by firm A to agency A.
| Dependent variable: | |||||||||||||
| Return | |||||||||||||
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | (13) | |
| Stakes | 1.073*** | 1.073*** | 1.074*** | 1.073*** | 1.104*** | 1.073*** | 1.105*** | 1.073*** | 1.104*** | 1.103*** | 1.104*** | ||
| (0.005) | (0.005) | (0.005) | (0.005) | (0.006) | (0.005) | (0.006) | (0.005) | (0.006) | (0.006) | (0.006) | |||
| HCap | -3.929*** | 0.041 | 0.046 | 0.112 | -13.276*** | ||||||||
| (0.268) | (0.187) | (0.187) | (0.190) | (1.408) | |||||||||
| 1 | Stakes | |||||||||||||
| netProbB | 1.308 | 1.336 | -46.102*** | ||||||||||
| (2.474) | (2.477) | (4.323) | |||||||||||
| ipRange(10,15] | -1.345 | -1.382 | -1.397 | 0.378 | 0.119 | 0.199 | |||||||
| (1.603) | (1.604) | (1.618) | (1.745) | (1.788) | (1.860) | ||||||||
| ipRange(15,20] | -3.400** | -3.448** | -3.482** | -3.296* | -3.303* | -2.393 | |||||||
| (1.614) | (1.616) | (1.637) | (1.796) | (1.820) | (1.906) | ||||||||
| ipRange(20,25] | -0.893 | -0.943 | -0.965 | -1.670 | -1.596 | -2.773 | |||||||
| (1.606) | (1.609) | (1.642) | (1.811) | (1.814) | (1.925) | ||||||||
| ipRange(25,30] | -3.458** | -3.497** | -3.496** | -3.107* | -3.089* | -2.378 | |||||||
| (1.597) | (1.598) | (1.639) | (1.840) | (1.836) | (1.956) | ||||||||
| ipRange(30,35] | -0.248 | -0.279 | -0.345 | -0.579 | -0.514 | -0.270 | |||||||
| (1.604) | (1.605) | (1.649) | (1.866) | (1.856) | (2.031) | ||||||||
| ipRange(35,40] | 0.768 | 0.744 | 0.585 | 0.344 | 0.744 | 0.689 | |||||||
| (1.673) | (1.673) | (1.723) | (1.968) | (1.961) | (2.199) | ||||||||
| ipRange(40,45] | 1.104 | 1.086 | 1.107 | 1.937 | 1.733 | 2.348 | |||||||
| (1.628) | (1.628) | (1.693) | (1.938) | (1.918) | (2.112) | ||||||||
| ipRange(45,50] | -0.691 | -0.718 | -0.749 | -0.942 | -1.686 | -1.349 | |||||||
| (1.717) | (1.718) | (1.788) | (2.045) | (2.057) | (2.211) | ||||||||
| ipRange(5,10] | -2.206 | -2.250* | -2.236 | -1.237 | -1.091 | -1.207 | |||||||
| (1.361) | (1.363) | (1.364) | (1.453) | (1.513) | (1.546) | ||||||||
| ipRange(50,55] | -1.081 | -1.104 | -1.185 | -1.106 | -1.286 | -0.689 | |||||||
| (1.594) | (1.595) | (1.683) | (1.910) | (1.896) | (2.069) | ||||||||
| ipRange(55,60] | -1.370 | -1.382 | -1.457 | 1.380 | 1.498 | 1.623 | |||||||
| (1.657) | (1.657) | (1.757) | (2.017) | (2.009) | (2.210) | ||||||||
| ipRange(60,65] | -2.567 | -2.565 | -2.594 | -3.261 | -3.585 | -2.862 | |||||||
| (1.861) | (1.861) | (1.973) | (2.271) | (2.241) | (2.460) | ||||||||
| ipRange(65,70] | -2.916 | -2.895 | -2.816 | -0.222 | -0.948 | 0.108 | |||||||
| (2.035) | (2.036) | (2.143) | (2.551) | (2.496) | (2.822) | ||||||||
| ipRange(70,75] | -1.550 | -1.520 | -1.416 | -0.497 | -1.418 | -0.703 | |||||||
| (2.200) | (2.201) | (2.299) | (2.754) | (2.795) | (3.075) | ||||||||
| ipRange(75,80] | -1.613 | -1.609 | -1.432 | -1.161 | -1.080 | 1.585 | |||||||
| (2.830) | (2.830) | (2.923) | (3.298) | (3.373) | (3.908) | ||||||||
| ipRange(80,85] | -4.620 | -4.578 | -4.786 | -6.060 | -7.889 | -7.715 | |||||||
| (5.015) | (5.016) | (5.098) | (5.969) | (6.069) | (6.798) | ||||||||
| ipRange(85,90] | -1.661 | -1.558 | -2.099 | -8.572 | -7.730 | -15.330 | |||||||
| (18.711) | (18.712) | (18.766) | (22.265) | (25.114) | (38.629) | ||||||||
| ipRangeET | 24.879*** | 24.938*** | 24.910*** | 37.856*** | 65.866*** | 65.777*** | |||||||
| (7.236) | (7.237) | (7.236) | (7.555) | (12.674) | (12.671) | ||||||||
| ipRangeFT | 6.061 | 6.154 | 7.579 | 7.473 | 5.956 | 5.920 | |||||||
| (14.504) | (14.505) | (14.581) | (15.015) | (16.368) | (16.365) | ||||||||
| ipRangeHT | 0.076 | 0.084 | 0.050 | 0.524 | 0.568 | 1.710 | |||||||
| (1.784) | (1.784) | (1.850) | (2.127) | (2.098) | (2.215) | ||||||||
| ipRangeNo | -0.428 | -0.405 | 0.488 | ||||||||||
| (0.968) | (0.969) | (1.132) | |||||||||||
| CurScore0-1 | -0.422 | 0.770 | -0.083 | -0.796 | |||||||||
| (1.158) | (1.107) | (1.241) | (1.403) | ||||||||||
| CurScore0-2 | -3.893 | -4.000* | -3.621 | -6.607** | |||||||||
| (2.406) | (2.161) | (2.473) | (2.880) | ||||||||||
| CurScore0-3 | 0.502 | -0.650 | 0.565 | -1.669 | |||||||||
| (6.483) | (5.528) | (6.535) | (8.028) | ||||||||||
| CurScore0-4 | -16.514 | -12.983 | -16.265 | 5.727 | |||||||||
| (15.613) | (15.580) | (15.645) | (23.941) | ||||||||||
| CurScore0-5 | -44.559 | -42.599 | -44.505 | 10.252 | |||||||||
| (31.213) | (32.392) | (31.231) | (54.104) | ||||||||||
| CurScore1-0 | 0.143 | 0.366 | 0.526 | -0.040 | |||||||||
| (1.086) | (1.050) | (1.165) | (1.225) | ||||||||||
| CurScore1-1 | -0.486 | 0.548 | -0.319 | 0.271 | |||||||||
| (1.660) | (1.418) | (1.752) | (1.882) | ||||||||||
| CurScore1-2 | -4.001 | -3.403 | -3.644 | -3.406 | |||||||||
| (2.625) | (2.490) | (2.741) | (3.098) | ||||||||||
| CurScore1-3 | 0.620 | -0.012 | 0.461 | 2.440 | |||||||||
| (7.178) | (6.944) | (7.217) | (8.505) | ||||||||||
| CurScore1-4 | 5.120 | 1.667 | 5.154 | 11.566 | |||||||||
| (15.000) | (15.017) | (15.034) | (41.404) | ||||||||||
| CurScore2-0 | -0.593 | -0.657 | -0.536 | -0.985 | |||||||||
| (1.706) | (1.712) | (1.790) | (1.905) | ||||||||||
| CurScore2-1 | 4.644 | 4.516* | 4.829 | 4.436 | |||||||||
| (3.051) | (2.423) | (3.130) | (3.618) | ||||||||||
| CurScore2-2 | -0.140 | 4.426 | 0.224 | -1.240 | |||||||||
| (5.066) | (3.728) | (5.127) | (5.754) | ||||||||||
| CurScore2-3 | -2.597 | -4.287 | -1.173 | -1.548 | |||||||||
| (8.259) | (7.440) | (8.356) | (10.961) | ||||||||||
| CurScore2-4 | -24.584 | -9.231 | -24.865 | 333.433 | |||||||||
| (31.211) | (25.109) | (31.286) | (376.256) | ||||||||||
| CurScore3-0 | -2.890 | -0.715 | -2.948 | -0.827 | |||||||||
| (4.304) | (4.133) | (4.356) | (4.897) | ||||||||||
| CurScore3-1 | -0.834 | 1.025 | -0.835 | -2.496 | |||||||||
| (5.920) | (5.260) | (5.965) | (6.862) | ||||||||||
| CurScore3-2 | -1.002 | 3.105 | 0.468 | 21.120 | |||||||||
| (13.119) | (7.450) | (13.245) | (23.230) | ||||||||||
| CurScore3-3 | -3.374 | -11.129 | -3.593 | -21.715 | |||||||||
| (16.305) | (11.315) | (16.355) | (26.695) | ||||||||||
| CurScore3-4 | 116.118*** | 118.017*** | 115.350*** | 18.330 | |||||||||
| (38.226) | (39.675) | (38.250) | (54.061) | ||||||||||
| CurScore4-0 | 4.294 | 10.813 | 4.296 | 6.441 | |||||||||
| (16.306) | (15.582) | (16.336) | (20.296) | ||||||||||
| CurScore4-1 | -12.960 | -7.582 | -12.972 | 5.930 | |||||||||
| (14.455) | (12.002) | (14.480) | (31.408) | ||||||||||
| CurScore4-2 | -68.976*** | -42.605*** | -68.551*** | -57.910* | |||||||||
| (20.438) | (16.224) | (20.484) | (29.692) | ||||||||||
| CurScore4-3 | 16.441 | -37.020 | 16.203 | 16.333 | |||||||||
| (54.053) | (39.739) | (54.086) | (54.091) | ||||||||||
| CurScore5-0 | -11.810 | -10.748 | -11.858 | -32.858 | |||||||||
| (17.106) | (17.763) | (17.136) | (44.518) | ||||||||||
| CurScore5-1 | -56.168 | -55.077 | -55.559 | -56.338 | |||||||||
| (54.053) | (56.083) | (54.058) | (54.057) | ||||||||||
| CurScore5-2 | -2.725 | -0.777 | 0.008 | 71.372 | |||||||||
| (38.225) | (39.683) | (38.264) | (879.489) | ||||||||||
| CurScore5-3 | 30.187 | 31.645 | 32.979 | 33.402 | |||||||||
| (54.054) | (56.093) | (54.075) | (54.076) | ||||||||||
| CurScoreNo | 0.748 | -0.396 | 0.261 | 0.441 | |||||||||
| (0.688) | (0.969) | (1.035) | (1.134) | ||||||||||
| ipHCap:ipRange(10,15] | -1.550 | ||||||||||||
| (0.963) | |||||||||||||
| ipHCap:ipRange(15,20] | -0.566 | ||||||||||||
| (0.980) | |||||||||||||
| ipHCap:ipRange(20,25] | -0.265 | ||||||||||||
| (1.004) | |||||||||||||
| ipHCap:ipRange(25,30] | -0.106 | ||||||||||||
| (1.053) | |||||||||||||
| ipHCap:ipRange(30,35] | -0.020 | ||||||||||||
| (1.104) | |||||||||||||
| ipHCap:ipRange(35,40] | -0.876 | ||||||||||||
| (1.229) | |||||||||||||
| ipHCap:ipRange(40,45] | 0.912 | ||||||||||||
| (1.238) | |||||||||||||
| ipHCap:ipRange(45,50] | 1.920 | ||||||||||||
| (1.437) | |||||||||||||
| ipHCap:ipRange(5,10] | 0.228 | ||||||||||||
| (0.776) | |||||||||||||
| ipHCap:ipRange(50,55] | 0.277 | ||||||||||||
| (1.409) | |||||||||||||
| ipHCap:ipRange(55,60] | -0.680 | ||||||||||||
| (1.526) | |||||||||||||
| ipHCap:ipRange(60,65] | -0.017 | ||||||||||||
| (1.814) | |||||||||||||
| ipHCap:ipRange(65,70] | -0.163 | ||||||||||||
| (1.995) | |||||||||||||
| ipHCap:ipRange(70,75] | 1.012 | ||||||||||||
| (2.518) | |||||||||||||
| ipHCap:ipRange(75,80] | -1.782 | ||||||||||||
| (3.112) | |||||||||||||
| ipHCap:ipRange(80,85] | 6.683 | ||||||||||||
| (5.753) | |||||||||||||
| ipHCap:ipRange(85,90] | -1.643 | ||||||||||||
| (15.113) | |||||||||||||
| ipHCap:ipRangeET | 56.390*** | ||||||||||||
| (20.527) | |||||||||||||
| ipHCap:ipRangeFT | -6.888 | ||||||||||||
| (28.164) | |||||||||||||
| ipHCap:ipRangeHT | 0.770 | ||||||||||||
| (1.483) | |||||||||||||
| ipHCap:ipRangeNo | 0.461 | ||||||||||||
| (0.609) | |||||||||||||
| ipHCap | 0.085 | 0.118 | 0.128 | -0.037 | 0.425* | ||||||||
| (0.170) | (0.171) | (0.176) | (0.552) | (0.257) | |||||||||
| HCap:netProbB | 18.259*** | ||||||||||||
| (2.727) | |||||||||||||
| CurScore0-0:ipRange(0,5]:ipHCap | -0.541 | ||||||||||||
| (0.618) | |||||||||||||
| CurScore0-1:ipRange(0,5]:ipHCap | -0.750 | ||||||||||||
| (2.848) | |||||||||||||
| CurScore0-2:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore0-3:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(0,5]:ipHCap | 2.846 | ||||||||||||
| (3.440) | |||||||||||||
| CurScore1-1:ipRange(0,5]:ipHCap | 11.383 | ||||||||||||
| (14.562) | |||||||||||||
| CurScore1-2:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore1-3:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(0,5]:ipHCap | -0.892 | ||||||||||||
| (24.166) | |||||||||||||
| CurScore2-1:ipRange(0,5]:ipHCap | -2.727 | ||||||||||||
| (14.663) | |||||||||||||
| CurScore2-2:ipRange(0,5]:ipHCap | 0.628 | ||||||||||||
| (8.841) | |||||||||||||
| CurScore2-3:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(0,5]:ipHCap | 0.508 | ||||||||||||
| (18.087) | |||||||||||||
| CurScore3-1:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore3-2:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(0,5]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(0,5]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(10,15]:ipHCap | -1.884* | ||||||||||||
| (1.016) | |||||||||||||
| CurScore0-1:ipRange(10,15]:ipHCap | -0.261 | ||||||||||||
| (2.523) | |||||||||||||
| CurScore0-2:ipRange(10,15]:ipHCap | -11.379* | ||||||||||||
| (6.601) | |||||||||||||
| CurScore0-3:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(10,15]:ipHCap | -2.755 | ||||||||||||
| (1.964) | |||||||||||||
| CurScore1-1:ipRange(10,15]:ipHCap | -1.577 | ||||||||||||
| (5.658) | |||||||||||||
| CurScore1-2:ipRange(10,15]:ipHCap | -7.195 | ||||||||||||
| (11.525) | |||||||||||||
| CurScore1-3:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(10,15]:ipHCap | -4.581 | ||||||||||||
| (3.960) | |||||||||||||
| CurScore2-1:ipRange(10,15]:ipHCap | 12.605 | ||||||||||||
| (18.041) | |||||||||||||
| CurScore2-2:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore2-3:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(10,15]:ipHCap | 1.179 | ||||||||||||
| (10.647) | |||||||||||||
| CurScore3-1:ipRange(10,15]:ipHCap | -5.360 | ||||||||||||
| (12.285) | |||||||||||||
| CurScore3-2:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(10,15]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(10,15]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(15,20]:ipHCap | -1.435 | ||||||||||||
| (1.108) | |||||||||||||
| CurScore0-1:ipRange(15,20]:ipHCap | 0.174 | ||||||||||||
| (2.314) | |||||||||||||
| CurScore0-2:ipRange(15,20]:ipHCap | -11.653* | ||||||||||||
| (6.022) | |||||||||||||
| CurScore0-3:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(15,20]:ipHCap | -1.722 | ||||||||||||
| (1.832) | |||||||||||||
| CurScore1-1:ipRange(15,20]:ipHCap | 12.917*** | ||||||||||||
| (4.669) | |||||||||||||
| CurScore1-2:ipRange(15,20]:ipHCap | -27.477 | ||||||||||||
| (17.680) | |||||||||||||
| CurScore1-3:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(15,20]:ipHCap | 1.659 | ||||||||||||
| (3.783) | |||||||||||||
| CurScore2-1:ipRange(15,20]:ipHCap | 0.932 | ||||||||||||
| (10.468) | |||||||||||||
| CurScore2-2:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore2-3:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(15,20]:ipHCap | -22.553** | ||||||||||||
| (10.703) | |||||||||||||
| CurScore3-1:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore3-2:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(15,20]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(15,20]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(20,25]:ipHCap | 2.148 | ||||||||||||
| (1.313) | |||||||||||||
| CurScore0-1:ipRange(20,25]:ipHCap | -5.568** | ||||||||||||
| (2.234) | |||||||||||||
| CurScore0-2:ipRange(20,25]:ipHCap | -8.052* | ||||||||||||
| (4.854) | |||||||||||||
| CurScore0-3:ipRange(20,25]:ipHCap | -34.024 | ||||||||||||
| (27.320) | |||||||||||||
| CurScore0-4:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(20,25]:ipHCap | -1.275 | ||||||||||||
| (1.680) | |||||||||||||
| CurScore1-1:ipRange(20,25]:ipHCap | -4.965 | ||||||||||||
| (3.589) | |||||||||||||
| CurScore1-2:ipRange(20,25]:ipHCap | -10.877 | ||||||||||||
| (16.984) | |||||||||||||
| CurScore1-3:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(20,25]:ipHCap | -0.547 | ||||||||||||
| (3.406) | |||||||||||||
| CurScore2-1:ipRange(20,25]:ipHCap | -4.834 | ||||||||||||
| (7.109) | |||||||||||||
| CurScore2-2:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore2-3:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(20,25]:ipHCap | 24.363 | ||||||||||||
| (24.120) | |||||||||||||
| CurScore3-1:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore3-2:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(20,25]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(20,25]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(25,30]:ipHCap | -1.387 | ||||||||||||
| (1.416) | |||||||||||||
| CurScore0-1:ipRange(25,30]:ipHCap | -3.014 | ||||||||||||
| (2.562) | |||||||||||||
| CurScore0-2:ipRange(25,30]:ipHCap | 3.713 | ||||||||||||
| (3.972) | |||||||||||||
| CurScore0-3:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(25,30]:ipHCap | 1.781 | ||||||||||||
| (1.864) | |||||||||||||
| CurScore1-1:ipRange(25,30]:ipHCap | 4.122 | ||||||||||||
| (3.752) | |||||||||||||
| CurScore1-2:ipRange(25,30]:ipHCap | 30.417** | ||||||||||||
| (15.013) | |||||||||||||
| CurScore1-3:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(25,30]:ipHCap | -6.481** | ||||||||||||
| (3.257) | |||||||||||||
| CurScore2-1:ipRange(25,30]:ipHCap | -3.673 | ||||||||||||
| (10.754) | |||||||||||||
| CurScore2-2:ipRange(25,30]:ipHCap | -61.890 | ||||||||||||
| (217.400) | |||||||||||||
| CurScore2-3:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(25,30]:ipHCap | -13.122 | ||||||||||||
| (10.690) | |||||||||||||
| CurScore3-1:ipRange(25,30]:ipHCap | -14.946 | ||||||||||||
| (12.207) | |||||||||||||
| CurScore3-2:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(25,30]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(25,30]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(30,35]:ipHCap | -0.316 | ||||||||||||
| (1.594) | |||||||||||||
| CurScore0-1:ipRange(30,35]:ipHCap | -1.186 | ||||||||||||
| (2.770) | |||||||||||||
| CurScore0-2:ipRange(30,35]:ipHCap | -1.367 | ||||||||||||
| (5.479) | |||||||||||||
| CurScore0-3:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(30,35]:ipHCap | -2.002 | ||||||||||||
| (2.142) | |||||||||||||
| CurScore1-1:ipRange(30,35]:ipHCap | 6.900 | ||||||||||||
| (4.488) | |||||||||||||
| CurScore1-2:ipRange(30,35]:ipHCap | -7.334 | ||||||||||||
| (11.609) | |||||||||||||
| CurScore1-3:ipRange(30,35]:ipHCap | 16.026 | ||||||||||||
| (18.363) | |||||||||||||
| CurScore1-4:ipRange(30,35]:ipHCap | -3.434 | ||||||||||||
| (26.450) | |||||||||||||
| CurScore2-0:ipRange(30,35]:ipHCap | 0.760 | ||||||||||||
| (2.867) | |||||||||||||
| CurScore2-1:ipRange(30,35]:ipHCap | -6.608 | ||||||||||||
| (8.579) | |||||||||||||
| CurScore2-2:ipRange(30,35]:ipHCap | -5.782 | ||||||||||||
| (22.412) | |||||||||||||
| CurScore2-3:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(30,35]:ipHCap | -2.435 | ||||||||||||
| (4.796) | |||||||||||||
| CurScore3-1:ipRange(30,35]:ipHCap | 0.205 | ||||||||||||
| (13.659) | |||||||||||||
| CurScore3-2:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(30,35]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(30,35]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(35,40]:ipHCap | -2.845 | ||||||||||||
| (1.907) | |||||||||||||
| CurScore0-1:ipRange(35,40]:ipHCap | 2.126 | ||||||||||||
| (3.049) | |||||||||||||
| CurScore0-2:ipRange(35,40]:ipHCap | -5.570 | ||||||||||||
| (4.797) | |||||||||||||
| CurScore0-3:ipRange(35,40]:ipHCap | 52.776*** | ||||||||||||
| (16.297) | |||||||||||||
| CurScore0-4:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(35,40]:ipHCap | 1.241 | ||||||||||||
| (2.425) | |||||||||||||
| CurScore1-1:ipRange(35,40]:ipHCap | -12.267** | ||||||||||||
| (5.120) | |||||||||||||
| CurScore1-2:ipRange(35,40]:ipHCap | -4.018 | ||||||||||||
| (14.542) | |||||||||||||
| CurScore1-3:ipRange(35,40]:ipHCap | 6.946 | ||||||||||||
| (17.719) | |||||||||||||
| CurScore1-4:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(35,40]:ipHCap | -0.573 | ||||||||||||
| (3.359) | |||||||||||||
| CurScore2-1:ipRange(35,40]:ipHCap | -6.833 | ||||||||||||
| (9.757) | |||||||||||||
| CurScore2-2:ipRange(35,40]:ipHCap | -51.297** | ||||||||||||
| (23.727) | |||||||||||||
| CurScore2-3:ipRange(35,40]:ipHCap | -98.935 | ||||||||||||
| (220.607) | |||||||||||||
| CurScore2-4:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(35,40]:ipHCap | -3.945 | ||||||||||||
| (6.223) | |||||||||||||
| CurScore3-1:ipRange(35,40]:ipHCap | 7.773 | ||||||||||||
| (14.746) | |||||||||||||
| CurScore3-2:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(35,40]:ipHCap | 773.972** | ||||||||||||
| (305.653) | |||||||||||||
| CurScore4-0:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(35,40]:ipHCap | 24.860 | ||||||||||||
| (17.632) | |||||||||||||
| CurScore4-2:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(35,40]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(35,40]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(40,45]:ipHCap | -0.086 | ||||||||||||
| (2.137) | |||||||||||||
| CurScore0-1:ipRange(40,45]:ipHCap | -0.270 | ||||||||||||
| (3.294) | |||||||||||||
| CurScore0-2:ipRange(40,45]:ipHCap | -3.425 | ||||||||||||
| (4.670) | |||||||||||||
| CurScore0-3:ipRange(40,45]:ipHCap | -16.908 | ||||||||||||
| (11.199) | |||||||||||||
| CurScore0-4:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(40,45]:ipHCap | 0.191 | ||||||||||||
| (2.486) | |||||||||||||
| CurScore1-1:ipRange(40,45]:ipHCap | 7.403 | ||||||||||||
| (4.692) | |||||||||||||
| CurScore1-2:ipRange(40,45]:ipHCap | -7.092 | ||||||||||||
| (9.390) | |||||||||||||
| CurScore1-3:ipRange(40,45]:ipHCap | 10.691 | ||||||||||||
| (14.227) | |||||||||||||
| CurScore1-4:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(40,45]:ipHCap | 2.449 | ||||||||||||
| (2.594) | |||||||||||||
| CurScore2-1:ipRange(40,45]:ipHCap | -3.913 | ||||||||||||
| (6.997) | |||||||||||||
| CurScore2-2:ipRange(40,45]:ipHCap | 23.138 | ||||||||||||
| (22.777) | |||||||||||||
| CurScore2-3:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(40,45]:ipHCap | 0.597 | ||||||||||||
| (5.604) | |||||||||||||
| CurScore3-1:ipRange(40,45]:ipHCap | -7.985 | ||||||||||||
| (13.112) | |||||||||||||
| CurScore3-2:ipRange(40,45]:ipHCap | 57.280 | ||||||||||||
| (47.062) | |||||||||||||
| CurScore3-3:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(40,45]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(40,45]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(45,50]:ipHCap | -0.022 | ||||||||||||
| (2.635) | |||||||||||||
| CurScore0-1:ipRange(45,50]:ipHCap | 0.055 | ||||||||||||
| (3.509) | |||||||||||||
| CurScore0-2:ipRange(45,50]:ipHCap | -2.063 | ||||||||||||
| (6.397) | |||||||||||||
| CurScore0-3:ipRange(45,50]:ipHCap | 2.606 | ||||||||||||
| (9.210) | |||||||||||||
| CurScore0-4:ipRange(45,50]:ipHCap | -6.243 | ||||||||||||
| (17.163) | |||||||||||||
| CurScore0-5:ipRange(45,50]:ipHCap | -100.170** | ||||||||||||
| (43.704) | |||||||||||||
| CurScore1-0:ipRange(45,50]:ipHCap | 6.463** | ||||||||||||
| (2.843) | |||||||||||||
| CurScore1-1:ipRange(45,50]:ipHCap | -3.453 | ||||||||||||
| (6.440) | |||||||||||||
| CurScore1-2:ipRange(45,50]:ipHCap | 6.258 | ||||||||||||
| (7.259) | |||||||||||||
| CurScore1-3:ipRange(45,50]:ipHCap | 4.935 | ||||||||||||
| (12.586) | |||||||||||||
| CurScore1-4:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(45,50]:ipHCap | 1.415 | ||||||||||||
| (3.430) | |||||||||||||
| CurScore2-1:ipRange(45,50]:ipHCap | 0.481 | ||||||||||||
| (7.099) | |||||||||||||
| CurScore2-2:ipRange(45,50]:ipHCap | -9.329 | ||||||||||||
| (11.437) | |||||||||||||
| CurScore2-3:ipRange(45,50]:ipHCap | -23.221 | ||||||||||||
| (35.126) | |||||||||||||
| CurScore2-4:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(45,50]:ipHCap | -0.315 | ||||||||||||
| (5.928) | |||||||||||||
| CurScore3-1:ipRange(45,50]:ipHCap | 27.191 | ||||||||||||
| (16.695) | |||||||||||||
| CurScore3-2:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(45,50]:ipHCap | 30.378 | ||||||||||||
| (34.449) | |||||||||||||
| CurScore3-4:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(45,50]:ipHCap | 5.035 | ||||||||||||
| (32.362) | |||||||||||||
| CurScore4-2:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(45,50]:ipHCap | -0.487 | ||||||||||||
| (40.015) | |||||||||||||
| CurScore5-1:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(45,50]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(45,50]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(5,10]:ipHCap | -0.241 | ||||||||||||
| (0.657) | |||||||||||||
| CurScore0-1:ipRange(5,10]:ipHCap | -0.998 | ||||||||||||
| (2.070) | |||||||||||||
| CurScore0-2:ipRange(5,10]:ipHCap | -4.396 | ||||||||||||
| (8.056) | |||||||||||||
| CurScore0-3:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(5,10]:ipHCap | 0.687 | ||||||||||||
| (1.927) | |||||||||||||
| CurScore1-1:ipRange(5,10]:ipHCap | 3.409 | ||||||||||||
| (6.132) | |||||||||||||
| CurScore1-2:ipRange(5,10]:ipHCap | -30.537 | ||||||||||||
| (33.873) | |||||||||||||
| CurScore1-3:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(5,10]:ipHCap | -6.595 | ||||||||||||
| (6.042) | |||||||||||||
| CurScore2-1:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore2-2:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore2-3:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore2-4:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore3-1:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore3-2:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(5,10]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(5,10]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(50,55]:ipHCap | -0.841 | ||||||||||||
| (2.911) | |||||||||||||
| CurScore0-1:ipRange(50,55]:ipHCap | 0.024 | ||||||||||||
| (3.511) | |||||||||||||
| CurScore0-2:ipRange(50,55]:ipHCap | 6.528 | ||||||||||||
| (4.687) | |||||||||||||
| CurScore0-3:ipRange(50,55]:ipHCap | 14.313 | ||||||||||||
| (14.023) | |||||||||||||
| CurScore0-4:ipRange(50,55]:ipHCap | -1.250 | ||||||||||||
| (19.705) | |||||||||||||
| CurScore0-5:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(50,55]:ipHCap | 2.376 | ||||||||||||
| (2.519) | |||||||||||||
| CurScore1-1:ipRange(50,55]:ipHCap | -4.367 | ||||||||||||
| (5.350) | |||||||||||||
| CurScore1-2:ipRange(50,55]:ipHCap | -11.179 | ||||||||||||
| (6.886) | |||||||||||||
| CurScore1-3:ipRange(50,55]:ipHCap | 12.687 | ||||||||||||
| (16.930) | |||||||||||||
| CurScore1-4:ipRange(50,55]:ipHCap | 18.748 | ||||||||||||
| (27.234) | |||||||||||||
| CurScore2-0:ipRange(50,55]:ipHCap | -6.512** | ||||||||||||
| (3.204) | |||||||||||||
| CurScore2-1:ipRange(50,55]:ipHCap | 0.250 | ||||||||||||
| (6.869) | |||||||||||||
| CurScore2-2:ipRange(50,55]:ipHCap | 1.121 | ||||||||||||
| (16.832) | |||||||||||||
| CurScore2-3:ipRange(50,55]:ipHCap | -24.250 | ||||||||||||
| (40.159) | |||||||||||||
| CurScore2-4:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(50,55]:ipHCap | 18.328** | ||||||||||||
| (7.885) | |||||||||||||
| CurScore3-1:ipRange(50,55]:ipHCap | 6.435 | ||||||||||||
| (11.965) | |||||||||||||
| CurScore3-2:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(50,55]:ipHCap | -9.013 | ||||||||||||
| (22.691) | |||||||||||||
| CurScore4-1:ipRange(50,55]:ipHCap | -21.524 | ||||||||||||
| (18.651) | |||||||||||||
| CurScore4-2:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(50,55]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(50,55]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(55,60]:ipHCap | -5.170 | ||||||||||||
| (4.146) | |||||||||||||
| CurScore0-1:ipRange(55,60]:ipHCap | 2.936 | ||||||||||||
| (3.913) | |||||||||||||
| CurScore0-2:ipRange(55,60]:ipHCap | -1.121 | ||||||||||||
| (5.273) | |||||||||||||
| CurScore0-3:ipRange(55,60]:ipHCap | -0.411 | ||||||||||||
| (7.316) | |||||||||||||
| CurScore0-4:ipRange(55,60]:ipHCap | 14.345 | ||||||||||||
| (47.291) | |||||||||||||
| CurScore0-5:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(55,60]:ipHCap | 2.536 | ||||||||||||
| (3.260) | |||||||||||||
| CurScore1-1:ipRange(55,60]:ipHCap | -1.570 | ||||||||||||
| (5.497) | |||||||||||||
| CurScore1-2:ipRange(55,60]:ipHCap | -3.040 | ||||||||||||
| (7.391) | |||||||||||||
| CurScore1-3:ipRange(55,60]:ipHCap | 1.535 | ||||||||||||
| (13.070) | |||||||||||||
| CurScore1-4:ipRange(55,60]:ipHCap | -8.073 | ||||||||||||
| (17.924) | |||||||||||||
| CurScore2-0:ipRange(55,60]:ipHCap | 0.192 | ||||||||||||
| (3.284) | |||||||||||||
| CurScore2-1:ipRange(55,60]:ipHCap | -5.277 | ||||||||||||
| (8.315) | |||||||||||||
| CurScore2-2:ipRange(55,60]:ipHCap | -5.275 | ||||||||||||
| (13.510) | |||||||||||||
| CurScore2-3:ipRange(55,60]:ipHCap | -296.915 | ||||||||||||
| (220.595) | |||||||||||||
| CurScore2-4:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(55,60]:ipHCap | -3.005 | ||||||||||||
| (4.224) | |||||||||||||
| CurScore3-1:ipRange(55,60]:ipHCap | -13.620 | ||||||||||||
| (12.799) | |||||||||||||
| CurScore3-2:ipRange(55,60]:ipHCap | -3.334 | ||||||||||||
| (32.368) | |||||||||||||
| CurScore3-3:ipRange(55,60]:ipHCap | -338.794 | ||||||||||||
| (241.137) | |||||||||||||
| CurScore3-4:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(55,60]:ipHCap | -81.512 | ||||||||||||
| (50.015) | |||||||||||||
| CurScore4-2:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(55,60]:ipHCap | 5.485 | ||||||||||||
| (13.942) | |||||||||||||
| CurScore5-1:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(55,60]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(55,60]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(60,65]:ipHCap | 6.807 | ||||||||||||
| (6.499) | |||||||||||||
| CurScore0-1:ipRange(60,65]:ipHCap | -0.287 | ||||||||||||
| (4.778) | |||||||||||||
| CurScore0-2:ipRange(60,65]:ipHCap | 6.476 | ||||||||||||
| (5.475) | |||||||||||||
| CurScore0-3:ipRange(60,65]:ipHCap | -6.089 | ||||||||||||
| (9.309) | |||||||||||||
| CurScore0-4:ipRange(60,65]:ipHCap | -53.309*** | ||||||||||||
| (15.769) | |||||||||||||
| CurScore0-5:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(60,65]:ipHCap | 2.687 | ||||||||||||
| (4.269) | |||||||||||||
| CurScore1-1:ipRange(60,65]:ipHCap | 14.808* | ||||||||||||
| (8.538) | |||||||||||||
| CurScore1-2:ipRange(60,65]:ipHCap | -10.842 | ||||||||||||
| (7.088) | |||||||||||||
| CurScore1-3:ipRange(60,65]:ipHCap | 6.935 | ||||||||||||
| (12.829) | |||||||||||||
| CurScore1-4:ipRange(60,65]:ipHCap | 0.395 | ||||||||||||
| (29.960) | |||||||||||||
| CurScore2-0:ipRange(60,65]:ipHCap | -0.556 | ||||||||||||
| (4.447) | |||||||||||||
| CurScore2-1:ipRange(60,65]:ipHCap | -19.695* | ||||||||||||
| (10.081) | |||||||||||||
| CurScore2-2:ipRange(60,65]:ipHCap | 4.783 | ||||||||||||
| (14.328) | |||||||||||||
| CurScore2-3:ipRange(60,65]:ipHCap | 6.482 | ||||||||||||
| (24.694) | |||||||||||||
| CurScore2-4:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(60,65]:ipHCap | -0.909 | ||||||||||||
| (4.713) | |||||||||||||
| CurScore3-1:ipRange(60,65]:ipHCap | -9.467 | ||||||||||||
| (9.104) | |||||||||||||
| CurScore3-2:ipRange(60,65]:ipHCap | -38.391 | ||||||||||||
| (35.677) | |||||||||||||
| CurScore3-3:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(60,65]:ipHCap | 4.115 | ||||||||||||
| (15.401) | |||||||||||||
| CurScore4-1:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(60,65]:ipHCap | -47.412 | ||||||||||||
| (61.675) | |||||||||||||
| CurScore4-3:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(60,65]:ipHCap | 21.431 | ||||||||||||
| (42.410) | |||||||||||||
| CurScore5-1:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(60,65]:ipHCap | -25.231 | ||||||||||||
| (305.620) | |||||||||||||
| CurScore5-3:ipRange(60,65]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(60,65]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(65,70]:ipHCap | 0.992 | ||||||||||||
| (10.328) | |||||||||||||
| CurScore0-1:ipRange(65,70]:ipHCap | 1.546 | ||||||||||||
| (6.139) | |||||||||||||
| CurScore0-2:ipRange(65,70]:ipHCap | -0.627 | ||||||||||||
| (6.256) | |||||||||||||
| CurScore0-3:ipRange(65,70]:ipHCap | -7.673 | ||||||||||||
| (8.132) | |||||||||||||
| CurScore0-4:ipRange(65,70]:ipHCap | -9.911 | ||||||||||||
| (8.313) | |||||||||||||
| CurScore0-5:ipRange(65,70]:ipHCap | 1.998 | ||||||||||||
| (16.106) | |||||||||||||
| CurScore1-0:ipRange(65,70]:ipHCap | -2.290 | ||||||||||||
| (5.515) | |||||||||||||
| CurScore1-1:ipRange(65,70]:ipHCap | -1.934 | ||||||||||||
| (13.745) | |||||||||||||
| CurScore1-2:ipRange(65,70]:ipHCap | 1.848 | ||||||||||||
| (10.325) | |||||||||||||
| CurScore1-3:ipRange(65,70]:ipHCap | 8.040 | ||||||||||||
| (12.713) | |||||||||||||
| CurScore1-4:ipRange(65,70]:ipHCap | 23.734 | ||||||||||||
| (22.703) | |||||||||||||
| CurScore2-0:ipRange(65,70]:ipHCap | 2.785 | ||||||||||||
| (4.383) | |||||||||||||
| CurScore2-1:ipRange(65,70]:ipHCap | -3.303 | ||||||||||||
| (9.345) | |||||||||||||
| CurScore2-2:ipRange(65,70]:ipHCap | 2.580 | ||||||||||||
| (18.880) | |||||||||||||
| CurScore2-3:ipRange(65,70]:ipHCap | 39.679 | ||||||||||||
| (25.955) | |||||||||||||
| CurScore2-4:ipRange(65,70]:ipHCap | -253.388 | ||||||||||||
| (264.672) | |||||||||||||
| CurScore3-0:ipRange(65,70]:ipHCap | -10.159* | ||||||||||||
| (5.658) | |||||||||||||
| CurScore3-1:ipRange(65,70]:ipHCap | 11.591 | ||||||||||||
| (9.112) | |||||||||||||
| CurScore3-2:ipRange(65,70]:ipHCap | -16.139 | ||||||||||||
| (27.905) | |||||||||||||
| CurScore3-3:ipRange(65,70]:ipHCap | 52.923 | ||||||||||||
| (113.401) | |||||||||||||
| CurScore3-4:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(65,70]:ipHCap | 2.368 | ||||||||||||
| (12.737) | |||||||||||||
| CurScore4-2:ipRange(65,70]:ipHCap | -5.721 | ||||||||||||
| (20.488) | |||||||||||||
| CurScore4-3:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(65,70]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(65,70]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(70,75]:ipHCap | -4.554 | ||||||||||||
| (12.525) | |||||||||||||
| CurScore0-1:ipRange(70,75]:ipHCap | 9.464 | ||||||||||||
| (7.352) | |||||||||||||
| CurScore0-2:ipRange(70,75]:ipHCap | 7.281 | ||||||||||||
| (7.567) | |||||||||||||
| CurScore0-3:ipRange(70,75]:ipHCap | 3.774 | ||||||||||||
| (9.384) | |||||||||||||
| CurScore0-4:ipRange(70,75]:ipHCap | -22.581 | ||||||||||||
| (15.949) | |||||||||||||
| CurScore0-5:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(70,75]:ipHCap | 4.288 | ||||||||||||
| (6.919) | |||||||||||||
| CurScore1-1:ipRange(70,75]:ipHCap | -1.833 | ||||||||||||
| (18.122) | |||||||||||||
| CurScore1-2:ipRange(70,75]:ipHCap | 0.540 | ||||||||||||
| (10.205) | |||||||||||||
| CurScore1-3:ipRange(70,75]:ipHCap | -1.275 | ||||||||||||
| (11.367) | |||||||||||||
| CurScore1-4:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(70,75]:ipHCap | -3.597 | ||||||||||||
| (5.051) | |||||||||||||
| CurScore2-1:ipRange(70,75]:ipHCap | -3.879 | ||||||||||||
| (12.897) | |||||||||||||
| CurScore2-2:ipRange(70,75]:ipHCap | -18.499 | ||||||||||||
| (37.808) | |||||||||||||
| CurScore2-3:ipRange(70,75]:ipHCap | -0.315 | ||||||||||||
| (29.367) | |||||||||||||
| CurScore2-4:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(70,75]:ipHCap | -8.169 | ||||||||||||
| (10.255) | |||||||||||||
| CurScore3-1:ipRange(70,75]:ipHCap | -6.751 | ||||||||||||
| (10.983) | |||||||||||||
| CurScore3-2:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore3-3:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(70,75]:ipHCap | 1.690 | ||||||||||||
| (14.446) | |||||||||||||
| CurScore4-1:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(70,75]:ipHCap | 34.299 | ||||||||||||
| (24.117) | |||||||||||||
| CurScore4-3:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(70,75]:ipHCap | 5.852 | ||||||||||||
| (14.013) | |||||||||||||
| CurScore5-1:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(70,75]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(70,75]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(75,80]:ipHCap | 7.096 | ||||||||||||
| (13.860) | |||||||||||||
| CurScore0-1:ipRange(75,80]:ipHCap | -8.723 | ||||||||||||
| (9.054) | |||||||||||||
| CurScore0-2:ipRange(75,80]:ipHCap | 2.407 | ||||||||||||
| (8.287) | |||||||||||||
| CurScore0-3:ipRange(75,80]:ipHCap | -4.170 | ||||||||||||
| (9.160) | |||||||||||||
| CurScore0-4:ipRange(75,80]:ipHCap | 8.761 | ||||||||||||
| (9.554) | |||||||||||||
| CurScore0-5:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(75,80]:ipHCap | -12.554 | ||||||||||||
| (10.867) | |||||||||||||
| CurScore1-1:ipRange(75,80]:ipHCap | -18.827 | ||||||||||||
| (22.290) | |||||||||||||
| CurScore1-2:ipRange(75,80]:ipHCap | -3.852 | ||||||||||||
| (12.349) | |||||||||||||
| CurScore1-3:ipRange(75,80]:ipHCap | -9.532 | ||||||||||||
| (26.800) | |||||||||||||
| CurScore1-4:ipRange(75,80]:ipHCap | -0.372 | ||||||||||||
| (16.476) | |||||||||||||
| CurScore2-0:ipRange(75,80]:ipHCap | -3.444 | ||||||||||||
| (8.985) | |||||||||||||
| CurScore2-1:ipRange(75,80]:ipHCap | -13.530 | ||||||||||||
| (21.801) | |||||||||||||
| CurScore2-2:ipRange(75,80]:ipHCap | 17.045 | ||||||||||||
| (81.769) | |||||||||||||
| CurScore2-3:ipRange(75,80]:ipHCap | -35.891 | ||||||||||||
| (32.238) | |||||||||||||
| CurScore2-4:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(75,80]:ipHCap | -0.891 | ||||||||||||
| (12.737) | |||||||||||||
| CurScore3-1:ipRange(75,80]:ipHCap | -1.369 | ||||||||||||
| (27.290) | |||||||||||||
| CurScore3-2:ipRange(75,80]:ipHCap | 19.026 | ||||||||||||
| (35.327) | |||||||||||||
| CurScore3-3:ipRange(75,80]:ipHCap | 198.411** | ||||||||||||
| (98.959) | |||||||||||||
| CurScore3-4:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(75,80]:ipHCap | -82.902 | ||||||||||||
| (115.652) | |||||||||||||
| CurScore4-1:ipRange(75,80]:ipHCap | -6.051 | ||||||||||||
| (21.396) | |||||||||||||
| CurScore4-2:ipRange(75,80]:ipHCap | -183.762 | ||||||||||||
| (123.496) | |||||||||||||
| CurScore4-3:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(75,80]:ipHCap | 6.957 | ||||||||||||
| (14.646) | |||||||||||||
| CurScore5-1:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(75,80]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(75,80]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(80,85]:ipHCap | 2.782 | ||||||||||||
| (53.571) | |||||||||||||
| CurScore0-1:ipRange(80,85]:ipHCap | -0.919 | ||||||||||||
| (12.153) | |||||||||||||
| CurScore0-2:ipRange(80,85]:ipHCap | 16.258 | ||||||||||||
| (12.394) | |||||||||||||
| CurScore0-3:ipRange(80,85]:ipHCap | 21.735 | ||||||||||||
| (13.726) | |||||||||||||
| CurScore0-4:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(80,85]:ipHCap | 7.503 | ||||||||||||
| (25.362) | |||||||||||||
| CurScore1-1:ipRange(80,85]:ipHCap | 48.943 | ||||||||||||
| (155.239) | |||||||||||||
| CurScore1-2:ipRange(80,85]:ipHCap | 6.740 | ||||||||||||
| (22.324) | |||||||||||||
| CurScore1-3:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(80,85]:ipHCap | 1.870 | ||||||||||||
| (18.971) | |||||||||||||
| CurScore2-1:ipRange(80,85]:ipHCap | 0.796 | ||||||||||||
| (26.018) | |||||||||||||
| CurScore2-2:ipRange(80,85]:ipHCap | -22.450 | ||||||||||||
| (109.427) | |||||||||||||
| CurScore2-3:ipRange(80,85]:ipHCap | 10.479 | ||||||||||||
| (28.601) | |||||||||||||
| CurScore2-4:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(80,85]:ipHCap | -20.154 | ||||||||||||
| (17.902) | |||||||||||||
| CurScore3-1:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore3-2:ipRange(80,85]:ipHCap | -43.277 | ||||||||||||
| (70.491) | |||||||||||||
| CurScore3-3:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(80,85]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(80,85]:ipHCap | |||||||||||||
| CurScore0-0:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore0-1:ipRange(85,90]:ipHCap | -14.376 | ||||||||||||
| (43.660) | |||||||||||||
| CurScore0-2:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore0-3:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore0-4:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore0-5:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore1-0:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore1-1:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore1-2:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore1-3:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore1-4:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore2-0:ipRange(85,90]:ipHCap | 7.267 | ||||||||||||
| (33.214) | |||||||||||||
| CurScore2-1:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore2-2:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore2-3:ipRange(85,90]:ipHCap | -10.774 | ||||||||||||
| (67.294) | |||||||||||||
| CurScore2-4:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore3-0:ipRange(85,90]:ipHCap | -0.602 | ||||||||||||
| (22.196) | |||||||||||||
| CurScore3-1:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore3-2:ipRange(85,90]:ipHCap | -7.975 | ||||||||||||
| (70.342) | |||||||||||||
| CurScore3-3:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore3-4:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore4-0:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore4-1:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore4-2:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore4-3:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore5-0:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore5-1:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore5-2:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore5-3:ipRange(85,90]:ipHCap | |||||||||||||
| CurScoreNo:ipRange(85,90]:ipHCap | |||||||||||||
| CurScore0-0:ipRangeET:ipHCap | 55.898*** | ||||||||||||
| (20.517) | |||||||||||||
| CurScore0-1:ipRangeET:ipHCap | |||||||||||||
| CurScore0-2:ipRangeET:ipHCap | |||||||||||||
| CurScore0-3:ipRangeET:ipHCap | |||||||||||||
| CurScore0-4:ipRangeET:ipHCap | |||||||||||||
| CurScore0-5:ipRangeET:ipHCap | |||||||||||||
| CurScore1-0:ipRangeET:ipHCap | |||||||||||||
| CurScore1-1:ipRangeET:ipHCap | |||||||||||||
| CurScore1-2:ipRangeET:ipHCap | |||||||||||||
| CurScore1-3:ipRangeET:ipHCap | |||||||||||||
| CurScore1-4:ipRangeET:ipHCap | |||||||||||||
| CurScore2-0:ipRangeET:ipHCap | |||||||||||||
| CurScore2-1:ipRangeET:ipHCap | |||||||||||||
| CurScore2-2:ipRangeET:ipHCap | |||||||||||||
| CurScore2-3:ipRangeET:ipHCap | |||||||||||||
| CurScore2-4:ipRangeET:ipHCap | |||||||||||||
| CurScore3-0:ipRangeET:ipHCap | |||||||||||||
| CurScore3-1:ipRangeET:ipHCap | |||||||||||||
| CurScore3-2:ipRangeET:ipHCap | |||||||||||||
| CurScore3-3:ipRangeET:ipHCap | |||||||||||||
| CurScore3-4:ipRangeET:ipHCap | |||||||||||||
| CurScore4-0:ipRangeET:ipHCap | |||||||||||||
| CurScore4-1:ipRangeET:ipHCap | |||||||||||||
| CurScore4-2:ipRangeET:ipHCap | |||||||||||||
| CurScore4-3:ipRangeET:ipHCap | |||||||||||||
| CurScore5-0:ipRangeET:ipHCap | |||||||||||||
| CurScore5-1:ipRangeET:ipHCap | |||||||||||||
| CurScore5-2:ipRangeET:ipHCap | |||||||||||||
| CurScore5-3:ipRangeET:ipHCap | |||||||||||||
| CurScoreNo:ipRangeET:ipHCap | |||||||||||||
| CurScore0-0:ipRangeFT:ipHCap | -7.354 | ||||||||||||
| (28.154) | |||||||||||||
| CurScore0-1:ipRangeFT:ipHCap | |||||||||||||
| CurScore0-2:ipRangeFT:ipHCap | |||||||||||||
| CurScore0-3:ipRangeFT:ipHCap | |||||||||||||
| CurScore0-4:ipRangeFT:ipHCap | |||||||||||||
| CurScore0-5:ipRangeFT:ipHCap | |||||||||||||
| CurScore1-0:ipRangeFT:ipHCap | |||||||||||||
| CurScore1-1:ipRangeFT:ipHCap | |||||||||||||
| CurScore1-2:ipRangeFT:ipHCap | |||||||||||||
| CurScore1-3:ipRangeFT:ipHCap | |||||||||||||
| CurScore1-4:ipRangeFT:ipHCap | |||||||||||||
| CurScore2-0:ipRangeFT:ipHCap | |||||||||||||
| CurScore2-1:ipRangeFT:ipHCap | |||||||||||||
| CurScore2-2:ipRangeFT:ipHCap | |||||||||||||
| CurScore2-3:ipRangeFT:ipHCap | |||||||||||||
| CurScore2-4:ipRangeFT:ipHCap | |||||||||||||
| CurScore3-0:ipRangeFT:ipHCap | |||||||||||||
| CurScore3-1:ipRangeFT:ipHCap | |||||||||||||
| CurScore3-2:ipRangeFT:ipHCap | |||||||||||||
| CurScore3-3:ipRangeFT:ipHCap | |||||||||||||
| CurScore3-4:ipRangeFT:ipHCap | |||||||||||||
| CurScore4-0:ipRangeFT:ipHCap | |||||||||||||
| CurScore4-1:ipRangeFT:ipHCap | |||||||||||||
| CurScore4-2:ipRangeFT:ipHCap | |||||||||||||
| CurScore4-3:ipRangeFT:ipHCap | |||||||||||||
| CurScore5-0:ipRangeFT:ipHCap | |||||||||||||
| CurScore5-1:ipRangeFT:ipHCap | |||||||||||||
| CurScore5-2:ipRangeFT:ipHCap | |||||||||||||
| CurScore5-3:ipRangeFT:ipHCap | |||||||||||||
| CurScoreNo:ipRangeFT:ipHCap | |||||||||||||
| CurScore0-0:ipRangeHT:ipHCap | 2.816 | ||||||||||||
| (2.827) | |||||||||||||
| CurScore0-1:ipRangeHT:ipHCap | -3.920 | ||||||||||||
| (4.091) | |||||||||||||
| CurScore0-2:ipRangeHT:ipHCap | -0.546 | ||||||||||||
| (6.250) | |||||||||||||
| CurScore0-3:ipRangeHT:ipHCap | -15.236 | ||||||||||||
| (36.431) | |||||||||||||
| CurScore0-4:ipRangeHT:ipHCap | |||||||||||||
| CurScore0-5:ipRangeHT:ipHCap | |||||||||||||
| CurScore1-0:ipRangeHT:ipHCap | -10.564*** | ||||||||||||
| (3.366) | |||||||||||||
| CurScore1-1:ipRangeHT:ipHCap | 12.865** | ||||||||||||
| (5.736) | |||||||||||||
| CurScore1-2:ipRangeHT:ipHCap | -11.472 | ||||||||||||
| (10.620) | |||||||||||||
| CurScore1-3:ipRangeHT:ipHCap | -10.726 | ||||||||||||
| (12.180) | |||||||||||||
| CurScore1-4:ipRangeHT:ipHCap | |||||||||||||
| CurScore2-0:ipRangeHT:ipHCap | 4.470 | ||||||||||||
| (3.123) | |||||||||||||
| CurScore2-1:ipRangeHT:ipHCap | 6.606 | ||||||||||||
| (8.595) | |||||||||||||
| CurScore2-2:ipRangeHT:ipHCap | -22.282 | ||||||||||||
| (14.411) | |||||||||||||
| CurScore2-3:ipRangeHT:ipHCap | -12.744 | ||||||||||||
| (35.127) | |||||||||||||
| CurScore2-4:ipRangeHT:ipHCap | |||||||||||||
| CurScore3-0:ipRangeHT:ipHCap | 11.557* | ||||||||||||
| (6.848) | |||||||||||||
| CurScore3-1:ipRangeHT:ipHCap | 9.641 | ||||||||||||
| (11.833) | |||||||||||||
| CurScore3-2:ipRangeHT:ipHCap | |||||||||||||
| CurScore3-3:ipRangeHT:ipHCap | 12.354 | ||||||||||||
| (21.897) | |||||||||||||
| CurScore3-4:ipRangeHT:ipHCap | |||||||||||||
| CurScore4-0:ipRangeHT:ipHCap | 1.289 | ||||||||||||
| (6.452) | |||||||||||||
| CurScore4-1:ipRangeHT:ipHCap | |||||||||||||
| CurScore4-2:ipRangeHT:ipHCap | |||||||||||||
| CurScore4-3:ipRangeHT:ipHCap | |||||||||||||
| CurScore5-0:ipRangeHT:ipHCap | |||||||||||||
| CurScore5-1:ipRangeHT:ipHCap | |||||||||||||
| CurScore5-2:ipRangeHT:ipHCap | |||||||||||||
| CurScore5-3:ipRangeHT:ipHCap | |||||||||||||
| CurScoreNo:ipRangeHT:ipHCap | |||||||||||||
| CurScore0-0:ipRangeNo:ipHCap | |||||||||||||
| CurScore0-1:ipRangeNo:ipHCap | |||||||||||||
| CurScore0-2:ipRangeNo:ipHCap | |||||||||||||
| CurScore0-3:ipRangeNo:ipHCap | |||||||||||||
| CurScore0-4:ipRangeNo:ipHCap | |||||||||||||
| CurScore0-5:ipRangeNo:ipHCap | |||||||||||||
| CurScore1-0:ipRangeNo:ipHCap | |||||||||||||
| CurScore1-1:ipRangeNo:ipHCap | |||||||||||||
| CurScore1-2:ipRangeNo:ipHCap | |||||||||||||
| CurScore1-3:ipRangeNo:ipHCap | |||||||||||||
| CurScore1-4:ipRangeNo:ipHCap | |||||||||||||
| CurScore2-0:ipRangeNo:ipHCap | |||||||||||||
| CurScore2-1:ipRangeNo:ipHCap | |||||||||||||
| CurScore2-2:ipRangeNo:ipHCap | |||||||||||||
| CurScore2-3:ipRangeNo:ipHCap | |||||||||||||
| CurScore2-4:ipRangeNo:ipHCap | |||||||||||||
| CurScore3-0:ipRangeNo:ipHCap | |||||||||||||
| CurScore3-1:ipRangeNo:ipHCap | |||||||||||||
| CurScore3-2:ipRangeNo:ipHCap | |||||||||||||
| CurScore3-3:ipRangeNo:ipHCap | |||||||||||||
| CurScore3-4:ipRangeNo:ipHCap | |||||||||||||
| CurScore4-0:ipRangeNo:ipHCap | |||||||||||||
| CurScore4-1:ipRangeNo:ipHCap | |||||||||||||
| CurScore4-2:ipRangeNo:ipHCap | |||||||||||||
| CurScore4-3:ipRangeNo:ipHCap | |||||||||||||
| CurScore5-0:ipRangeNo:ipHCap | |||||||||||||
| CurScore5-1:ipRangeNo:ipHCap | |||||||||||||
| CurScore5-2:ipRangeNo:ipHCap | |||||||||||||
| CurScore5-3:ipRangeNo:ipHCap | |||||||||||||
| CurScoreNo:ipRangeNo:ipHCap | |||||||||||||
| Constant | 48.725*** | 0.687* | 0.083 | 0.016 | 1.575* | -0.200 | 1.446 | -0.345 | 1.541* | 0.172 | 71.966*** | 0.079 | 0.102 |
| (0.467) | (0.386) | (1.273) | (1.303) | (0.900) | (0.363) | (0.926) | (0.554) | (0.901) | (0.956) | (2.226) | (1.052) | (1.054) | |
| Observations | 48,640 | 48,640 | 48,640 | 48,640 | 48,640 | 35,304 | 48,640 | 35,304 | 48,640 | 35,304 | 48,640 | 35,304 | 35,304 |
| R2 | 0.004 | 0.520 | 0.520 | 0.520 | 0.520 | 0.522 | 0.520 | 0.523 | 0.521 | 0.524 | 0.007 | 0.523 | 0.527 |
| Adjusted R2 | 0.004 | 0.520 | 0.520 | 0.520 | 0.520 | 0.522 | 0.520 | 0.523 | 0.520 | 0.523 | 0.007 | 0.523 | 0.523 |
| Residual Std. Error | 80.747 (df = 48638) | 56.076 (df = 48637) | 56.076 (df = 48637) | 56.076 (df = 48636) | 56.069 (df = 48617) | 54.057 (df = 35301) | 56.069 (df = 48616) | 54.050 (df = 35272) | 56.065 (df = 48589) | 54.033 (df = 35252) | 80.654 (df = 48636) | 54.038 (df = 35259) | 54.026 (df = 34978) |
| F Statistic | 215.124*** (df = 1; 48638) | 26,329.510*** (df = 2; 48637) | 26,329.750*** (df = 2; 48637) | 17,552.850*** (df = 3; 48636) | 2,395.595*** (df = 22; 48617) | 19,309.660*** (df = 2; 35301) | 2,291.423*** (df = 23; 48616) | 1,247.355*** (df = 31; 35272) | 1,054.940*** (df = 50; 48589) | 759.494*** (df = 51; 35252) | 109.988*** (df = 3; 48636) | 879.822*** (df = 44; 35259) | 120.082*** (df = 325; 34978) |
| Note: | p<0.1; p<0.05; p<0.01 | ||||||||||||
table 4.1.5 : Summary of linear models.
| Statistic | N | Mean | St. Dev. | Min | Max |
| Res.Df | 5 | 48,633.000 | 8.972 | 48,617 | 48,638 |
| RSS | 5 | 185,755,154.000 | 73,436,276.000 | 152,839,454.000 | 317,121,936.000 |
| Df | 4 | 5.250 | 9.179 | 0 | 19 |
| Sum of Sq | 4 | 41,070,621.000 | 82,075,107.000 | 186.756 | 164,183,261.000 |
| F | 3 | 17,409.030 | 30,151.840 | 0.059 | 52,225.370 |
| Pr(> F) | 3 | 0.282 | 0.456 | 0.000 | 0.807 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 3 | 11,767.670 | 20,380.470 | 1 | 35,301 |
| Sum Sq | 3 | 72,001,537.000 | 62,542,706.000 | 723.720 | 112,849,861.000 |
| Mean Sq | 3 | 37,617,836.000 | 65,152,845.000 | 723.720 | 112,849,861.000 |
| F value | 2 | 19,309.660 | 27,307.630 | 0.248 | 38,619.070 |
| Pr(> F) | 2 | 0.309 | 0.438 | 0.000 | 0.619 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 4 | 12,159.750 | 24,304.170 | 1 | 48,616 |
| Sum Sq | 4 | 79,631,138.000 | 92,039,366.000 | 150.809 | 165,585,726.000 |
| Mean Sq | 4 | 41,398,449.000 | 82,791,518.000 | 150.809 | 165,585,726.000 |
| F value | 3 | 17,557.450 | 30,409.040 | 0.048 | 52,670.780 |
| Pr(> F) | 3 | 0.296 | 0.461 | 0.000 | 0.827 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 4 | 8,825.750 | 17,630.840 | 1 | 35,272 |
| Sum Sq | 4 | 54,001,153.000 | 62,418,544.000 | 1,380.011 | 112,849,861.000 |
| Mean Sq | 4 | 28,214,502.000 | 56,423,572.000 | 1,380.011 | 112,849,861.000 |
| F value | 3 | 12,877.050 | 22,302.160 | 0.472 | 38,629.360 |
| Pr(> F) | 3 | 0.203 | 0.257 | 0.000 | 0.492 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 4 | 12,159.750 | 24,286.170 | 1 | 48,589 |
| Sum Sq | 4 | 79,631,138.000 | 91,977,983.000 | 93,496.640 | 165,585,726.000 |
| Mean Sq | 4 | 41,399,403.000 | 82,790,882.000 | 3,143.251 | 165,585,726.000 |
| F value | 3 | 17,560.850 | 30,413.880 | 1.293 | 52,679.770 |
| Pr(> F) | 3 | 0.069 | 0.067 | 0.000 | 0.134 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 5 | 7,060.600 | 15,759.480 | 1 | 35,252 |
| Sum Sq | 5 | 43,200,922.000 | 59,152,060.000 | 1,550.930 | 112,849,861.000 |
| Mean Sq | 5 | 22,572,861.000 | 50,466,377.000 | 1,550.930 | 112,849,861.000 |
| F value | 4 | 9,664.360 | 19,326.090 | 0.531 | 38,653.490 |
| Pr(> F) | 4 | 0.147 | 0.220 | 0.000 | 0.466 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 4 | 12,159.750 | 24,317.500 | 1 | 48,636 |
| Sum Sq | 4 | 79,631,138.000 | 157,832,086.000 | 291,708.900 | 316,378,125.000 |
| Mean Sq | 4 | 538,232.900 | 605,002.700 | 6,505.019 | 1,402,616.000 |
| F value | 3 | 109.988 | 92.307 | 44.844 | 215.621 |
| Pr(> F) | 3 | 0.000 | 0.000 | 0 | 0 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 5 | 7,060.600 | 15,763.390 | 1 | 35,259 |
| Sum Sq | 5 | 43,200,922.000 | 59,170,043.000 | 723.720 | 112,849,861.000 |
| Mean Sq | 5 | 22,572,544.000 | 50,466,554.000 | 723.720 | 112,849,861.000 |
| F value | 4 | 9,662.259 | 19,322.250 | 0.248 | 38,645.630 |
| Pr(> F) | 4 | 0.278 | 0.325 | 0.000 | 0.619 |
| Statistic | N | Mean | St. Dev. | Min | Max |
| Df | 6 | 5,883.833 | 14,253.560 | 1 | 34,978 |
| Sum Sq | 6 | 36,000,768.000 | 55,466,442.000 | 1,550.930 | 112,849,861.000 |
| Mean Sq | 6 | 18,811,219.000 | 46,069,338.000 | 1,550.930 | 112,849,861.000 |
| F value | 5 | 7,733.608 | 17,290.090 | 0.531 | 38,663.060 |
| Pr(> F) | 5 | 0.187 | 0.210 | 0.000 | 0.466 |
table 4.1.6 : Anova of linear models.
Based on table 2.2.1 we know about the net bookies probabilities and EM probabilities, here I simply apply linear regression model4 You can learn from Linear Regression in R (R Tutorial 5.1 to 5.11). You can also refer to Getting Started with Mixed Effect Models in R, A very basic tutorial for performing linear mixed effects analyses and Fitting Linear Mixed-Effects Models using lme4. Otherwise you can read Linear Models with R and somemore details about regression models via Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models. and also anova to compare among the models.
shinyapp 4.2.1 : Comparison of the vigorish between AH and Fixed-Odds. Source from 1x2 to Combo AH version 1.1 by William Chen (2006)
Here I simply attached with a Fixed Odds to Asian Handicap’s calculator which refer to my ex-colleague William Chen’s5 My ex-colleague and best friend in sportsbook industry which known since join sportsbook industry year 2005 —— Telebiz and later Caspo Inc. spreadsheet version 1.1 in year 2006. You can simply input the home win, draw, away win (in decimal format) as well as the overround.6 Kindly refer to my previous research to know the vigorish / overround.
shinyapp 4.2.2 : Convertion between AH and Fixed-Odds.
Section : reverse modelling to get the EMProb prior to calculate the coefficient of the staking model. Otherwise might rearrange the order of applied Poison model here by refer to international competitions.Galema, Plantinga and Scholtens (2008)7 You are feel free to refer to [Reference for industry knowdelege and academic research portion for the paper] for further details
draft :
- http://www.moneychimp.com/articles/risk/regression.htm
- read *Galema, Plantinga and Scholtens (2008)* https://englianhu.files.wordpress.com/2016/06/the-stocks-at-stake-return-and-risk-in-socially-responsible-investment.pdf
- reverse engineering on staking-profit linear regression model to get/retrieve EMProb value since now only get the coefficients figire of EMProb. Although incompleted soccer teams... 2ndly, reversed poison model from EMProb might is not workable on one-sided competition, need to refer to some international competition as references for incompleted dataset.John Fingleton & Patrick Waldron (1999)8 You are feel free to refer to [Reference for industry knowdelege and academic research portion for the paper] for further details apply Shin’s model and finally conclude suggests that bookmakers in Ireland are infinitely risk-averse and balance their books. The authors cannot distinguish between inside information and operating costs, merely concluding that combined they account for up to 3.7% of turnover. They compare different versions of our model, using data from races in Ireland in 1993. The authors’ empirical results can be summarised as follows:
Here I try to test our data if there has any insider information.
From the papers Niko Marttinen 20019 Kindly refer to 1th paper in 7.4 References and Jeffrey Alan Logan Snyder 201310 Kindly refer to 2nd paper in 7.4 References both applying Full-Kelly,Half-Kelly and also Quarter-Kelly models which similar with my previous Kelly-Criterion model ®γσ, Eng Lian Hu 201411 Kindly refer to 4th paper in 7.4 References but enhanced.
To achieve the level of profitable betting, one must develop a correct money management procedure. The aim for a punter is to maximize the winnings and minimize the losses. If the punter is capable of predicting accurate probabilities for each match, the Edward O. Thorp 200612 Kindly refer to 6th paper in 7.4 References has proven to work effectively in betting. It was named after an American economist John Kelly (1956) and originally designed for information transmission. The Kelly criterion is described below:
\[S=(\rho*\sigma-1)/(\sigma-1)\] equation-4.3.1
Where S = the stake expressed as a fraction of one’s total bankroll, \(\rho\) = probability of an event to take place, \(\sigma\) = odds for an event offered by the bookmaker. Three important properties, mentioned by Hausch and Ziemba (1994) (Efficiency of Racetrack Betting Markets (2008Edition)), arise when using this criterion to determine a proper stake for each bet:
The criterion is known to economists and financial theorists by names such as the geometric mean maximizing portfolio strategy, the growth-optimal strategy, the capital growth criterion, etc. We will now show that Kelly betting will maximize the expected log utility for sports-book betting.
[1] 23.71528
\[K = \frac{(B + 1)p - 1} {B}\] equation 4.3.1
\[G: = \mathop {\lim }\limits_{N \to \infty } \frac{1/N}{\log}\left( {\frac{{{BR_N}}}{{{BR_0}}}} \right)\] equation 4.3.2
\[BR_N = (1 + K)^W(1 - K)^L BR_0\] equation 4.3.3
Kelly K-value 凯利模式资金管理
## Bootstrapping to get the optimal value
#'@ llply(rEMProbB)table 4.3.2
In order to get the optimal value, I apply the bootrapping and resampling method.
\[L(\rho) = \prod_{i=1}^{n} (x_{i}|\rho)\] equation 4.3.4
Now we look at abpve function from a different perspective by considering the observed values \(x1, x2, …, xn\) to be fixed parameters of this function, whereas \(\rho\) will be the function’s variable and allowed to vary freely; this function will be called the likelihood.
Here we introduce the Dixon & Coles 1996 Poisson model and its codes. You are freely learning from below links if interest.
table 4.4.1 : Filtered multiple bets placed on same matches.
Due to the soccer matches randomly getting from different leagues, and also not Bernoulli win-lose result but half win-lose etc as we see from above. Besides, there were mixed Pre-Games and also In-Play soccer matches and I filter-up the sample data to be 20009 x 45. I don’t pretend to know the correct answer or the model from firm A. However I take a sample presentation Robert Johnson (2011)13 Kindly refer to 23th paper in 7.4 References from one of consultancy firm which is Dixon-Coles model and omitted the scoring process section.
Here I cannot reverse computing from barely \(\rho_i^{EM}\) without know the \(\lambda_{ij}\) and \(\gamma\) values. Therefore I try to using both Home and Away Scores to simulate and test to get the maximum likelihood \(\rho_i^{EM}\).
\[X_{ij} = pois(\gamma \alpha_{ij} \beta_{ij} ); Y_{ij} = pois(\alpha_{ij} \beta_{ij})\] equation 4.4.1
sample…
In order to minimzie the risk, I tried to validate the odds price range invested by firm A.14 As I used to work in AS3388 which always take bets from Starlizard where they only placed bets within the odds price range from 0.70 ~ -0.70. They are not placed bets on all odds price in same edge. The sportbook consulatancy firms will not place same amount of stakes on same edge, lets take example as below :-
We know above edge is same but due to the probability of occurance an event/goal at 0.4 is smaller than 0.64. Here I try to bootstrap/resampling the scores of matches of the dataset and apply maximum likelihood on the poisson model to test the Kelly model and get the mean/likelihood value. Boostrapping the scores and staking model will be falling in the following sections 4.5 Staking Ⓜodel and Ⓜoney Management and 4.6 Expectation Ⓜaximization and Staking Simulation.
Martin Spann and Bernd Skiera (2009)15 Kindly refer to 19th paper in 7.4 References applied a basic probability sets on the draw games and also the portion of win and loss. The author simply measured the portion of the draw result with win/loss to get the edge to place a bet. However it made a loss on Italian operator Oddset due to the 25% high vigorish but profitable in 12%. Secondly, the bets placed on fixed odds but not Asian Handicap and also a fixed amount $100.
sample… Geometric Mean
sample…
Chapter 4.2 Comparison of Different Feature Sets and Betting Strategies in
Dixon&Pope2003 apply linear model to compare the efficiency of the odds prices offer by first three largest Firm A, B and C in UK.
Here I apply the arules and arulesViz packages to analyse the market basket of the bets.
Due to the data-sets I collected just one among all agents among couple sports-bookmakers 4lowin. Here I cannot determine if the sample data among the population…
JA: What skills and academic training (example: college courses) are valuable to sports statisticians? KW: I would say there are three sets of skills you need to be a successful sports statistician: - Quantitative skills - the statistical and mathematical techniques you’ll use to make sense of the data. Most kinds of coursework you’d find in an applied statistics program will be helpful. Regression methods, hypothesis testing, confidence intervals, inference, probability, ANOVA, multivariate analysis, linear and logistic models, clustering, time series, and data mining/machine learning would all be applicable. I’d include in this category designing charts, graphs, and other data visualizations to help present and communicate results. - Technical skills - learning one or more statistical software systems such as R/S-PLUS, SAS, SPSS, Stata, Matlab, etc. will give you the tools to apply quantitative skills in practice. Beyond that, the more self-reliant you are at extracting and manipulating your data directly, the more quickly you can explore your data and test ideas. So being adept with the technology you’re likely to encounter will help tremendously. Most of the information you’d be dealing with in sports statistics would be in a database, so learning SQL or another query language is important. In addition, mastering advanced spreadsheet skills such as pivot tables, macros, scripting, and chart customization would be useful. - Domain knowledge - truly understanding the sport you want to analyze professionally is critical to being successful. Knowing the rules of the game; studying how front offices operate; finding out how players are recruited, developed, and evaluated; and even just learning the jargon used within the industry will help you integrate into the organization. You’ll come to understand what problems are important to the GM and other decisionmakers, as well as what information is available, how it’s collected, what it means, and what its limitations are. Also, I recommend keeping up with the discussions in your sport’s analytic community so you know about the latest developments and what’s considered the state of the art in the public sphere. One of the great things about being a sports statistician is getting to follow your favorite websites and blogs as a legitimate part of your job!
source : Preparing for a Career as a Sports Statistician: Two Interviews with People in the Field
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I will be apply Shiny to write a dynamic website to utilise the function as web based apps. You are welcome to refer SHOW ME SHINY.
I will also write as a package to easier load and log.
It’s useful to record some information about how your file was created.
[1] “2016-08-24 00:01:34 JST” setting value
version R version 3.3.1 (2016-06-21) system x86_64, mingw32
ui RTerm
language (EN)
collate English_United States.1252
tz Asia/Tokyo
date 2016-08-24
sysname release version nodename “Windows” “10 x64” “build 10586” “RSTUDIO-SCIBROK” machine login user effective_user “x86-64” “scibr” “scibr” “scibr”
Firstly I do appreciate those who shade me a light on my research. Meanwhile I do happy and learn from the research.
There are quite some errors when I knit HTML:
let say always stuck (which is not response and consider as completed) at 29%. I tried couple times while sometimes prompt me different errors (upgrade Droplet to larger RAM memory space doesn’t helps) and eventually apply rm() and gc() to remove the object after use and also clear the memory space.
Need to reload the package suppressAll(library('networkD3')) which in chunk decission-tree-A prior to apply function simpleNetwork while I load it in chunk libs at the beginning of the section 1. Otherwise cannot found that particlar function.
The rCharts::rPlot() works fine if run in chunk, but error when knit the rmarkdown file. Raised an issue : Error : rCharts::rPlot() in rmarkdown file.
xtable always shows LaTeX output but not table. Raised a question in COS : 求助！knitr Rmd pdf 中文编译 2016年8月19日 下午9:56 7 楼.Here I try other packages like textreg and stargazer.
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