Computer Rating System Prediction Results for College Football (NCAA IA)
2022 Second Half Totals
Through 2023-01-10
Rank |
System |
Pct. Correct |
Against Spread |
Absolute Error |
Bias |
Mean Square Error |
games |
suw |
sul |
atsw |
atsl |
1 | Pi-Ratings Mean | 0.70823 | 0.49100 | 12.3065 | 1.2143 | 257.356 | 401 | 284 | 117 | 191 | 198 |
2 | Pi-Rate Ratings | 0.70324 | 0.49361 | 12.3947 | 1.2003 | 261.324 | 401 | 282 | 119 | 193 | 198 |
3 | Roundtable | 0.69966 | 0.49825 | 12.7270 | 0.8498 | 267.250 | 293 | 205 | 88 | 142 | 143 |
4 | Brent Craig | 0.69722 | 0.48459 | 12.7496 | 1.7930 | 271.689 | 360 | 251 | 109 | 173 | 184 |
5 | PI-Rate Bias | 0.69327 | 0.48608 | 12.4667 | 1.2967 | 262.545 | 401 | 278 | 123 | 192 | 203 |
6 | TeamRankings.com | 0.69077 | 0.48092 | 12.4025 | 0.7067 | 258.742 | 401 | 277 | 124 | 189 | 204 |
7 | Line (updated) | 0.69077 | 0.48795 | 12.1696 | 0.9352 | 245.637 | 401 | 277 | 124 | 81 | 85 |
8 | Sagarin Ratings | 0.69077 | 0.51385 | 12.3537 | 0.3741 | 254.033 | 401 | 277 | 124 | 204 | 193 |
9 | Loudsound.org | 0.68857 | 0.53659 | 12.7886 | -1.6800 | 271.466 | 350 | 241 | 109 | 176 | 152 |
10 | Dokter Entropy | 0.68828 | 0.50253 | 12.3029 | 1.3881 | 253.666 | 401 | 276 | 125 | 199 | 197 |
11 | Pigskin Index | 0.68828 | 0.50928 | 12.5860 | 1.1550 | 268.728 | 401 | 276 | 125 | 192 | 185 |
12 | Computer Adjusted Line | 0.68828 | 0.49780 | 12.1746 | 0.9401 | 246.707 | 401 | 276 | 125 | 113 | 114 |
13 | Line (Midweek) | 0.68828 | | 12.1658 | 0.8865 | 246.572 | 401 | 276 | 125 | | |
14 | Bihl System | 0.68802 | 0.47472 | 12.7996 | 1.0667 | 268.819 | 359 | 247 | 112 | 169 | 187 |
15 | Keeper | 0.68750 | 0.51646 | 12.8292 | 2.1349 | 272.116 | 400 | 275 | 125 | 204 | 191 |
16 | Dunkel Index | 0.68687 | 0.51276 | 12.8034 | 1.4600 | 279.992 | 396 | 272 | 124 | 201 | 191 |
17 | ESPN FPI | 0.68579 | 0.51889 | 12.3418 | 1.5017 | 256.291 | 401 | 275 | 126 | 206 | 191 |
18 | FEI Projections | 0.68579 | 0.51015 | 12.5154 | -1.2731 | 260.921 | 401 | 275 | 126 | 201 | 193 |
19 | Stephen Kerns | 0.68579 | 0.53046 | 12.6303 | 1.3528 | 267.524 | 401 | 275 | 126 | 209 | 185 |
20 | Linear Regression | 0.68481 | 0.49565 | 12.8546 | 1.3205 | 278.097 | 349 | 239 | 110 | 171 | 174 |
21 | Daniel Curry Index | 0.68342 | 0.51523 | 12.8351 | 0.8798 | 277.612 | 398 | 272 | 126 | 203 | 191 |
22 | Edward Kambour | 0.68329 | 0.51134 | 12.4024 | 0.9204 | 257.449 | 401 | 274 | 127 | 203 | 194 |
23 | System Median | 0.68329 | 0.50891 | 12.2863 | 1.0033 | 254.703 | 401 | 274 | 127 | 200 | 193 |
24 | Howell | 0.68080 | 0.48670 | 13.0873 | 1.2844 | 287.375 | 401 | 273 | 128 | 183 | 193 |
25 | Massey Ratings | 0.68080 | 0.54408 | 12.4326 | 0.5710 | 259.567 | 401 | 273 | 128 | 216 | 181 |
26 | Donchess Inference | 0.68080 | 0.52163 | 12.3888 | 1.2311 | 253.483 | 401 | 273 | 128 | 205 | 188 |
27 | Line (opening) | 0.68080 | 0.51506 | 12.1858 | 0.9214 | 248.344 | 401 | 273 | 128 | 171 | 161 |
28 | Laz Index | 0.67920 | 0.53046 | 12.5239 | 1.1060 | 258.874 | 399 | 271 | 128 | 209 | 185 |
29 | Dave Congrove | 0.67830 | 0.50758 | 12.6351 | 1.2525 | 273.307 | 401 | 272 | 129 | 201 | 195 |
30 | Born Power Index | 0.67830 | 0.48866 | 12.7783 | 1.4112 | 275.438 | 401 | 272 | 129 | 194 | 203 |
31 | System Average | 0.67830 | 0.49495 | 12.3219 | 1.0654 | 255.928 | 401 | 272 | 129 | 196 | 200 |
32 | Laffaye RWP | 0.67830 | 0.49622 | 12.8430 | 1.2225 | 277.720 | 401 | 272 | 129 | 197 | 200 |
33 | David Harville | 0.67830 | 0.51899 | 12.3732 | 0.7194 | 258.638 | 401 | 272 | 129 | 205 | 190 |
34 | Sagarin Recent | 0.67830 | 0.52141 | 12.4430 | 0.3165 | 257.696 | 401 | 272 | 129 | 207 | 190 |
35 | Sagarin Golden Mean | 0.67830 | 0.49874 | 12.3747 | 0.5489 | 257.745 | 401 | 272 | 129 | 198 | 199 |
36 | Talisman Red | 0.67581 | 0.53149 | 12.6589 | 0.6449 | 269.413 | 401 | 271 | 130 | 211 | 186 |
37 | Stat Fox | 0.67581 | 0.49606 | 12.7732 | 2.4193 | 275.892 | 401 | 271 | 130 | 189 | 192 |
38 | Beck Elo | 0.67581 | 0.47583 | 12.7865 | 1.6138 | 278.086 | 401 | 271 | 130 | 187 | 206 |
39 | Massey Consensus | 0.67581 | 0.49874 | 13.0219 | 1.7170 | 287.824 | 401 | 271 | 130 | 198 | 199 |
40 | DP Dwiggins | 0.67500 | 0.51181 | 12.8200 | -0.3600 | 273.570 | 400 | 270 | 130 | 195 | 186 |
41 | Versus Sports Simulator | 0.67332 | 0.49118 | 12.7174 | 1.0186 | 270.507 | 401 | 270 | 131 | 195 | 202 |
42 | Payne Power Ratings | 0.67332 | 0.49370 | 12.8127 | 0.8145 | 277.013 | 401 | 270 | 131 | 196 | 201 |
43 | Billingsley | 0.67332 | 0.51134 | 12.8153 | 1.1215 | 277.332 | 401 | 270 | 131 | 203 | 194 |
44 | Payne Predict | 0.67332 | 0.47475 | 12.9410 | 1.0327 | 283.334 | 401 | 270 | 131 | 188 | 208 |
45 | Catherwood Ratings | 0.67082 | 0.47721 | 12.9551 | 2.3965 | 283.654 | 401 | 269 | 132 | 178 | 195 |
46 | Moore Power Ratings | 0.67082 | 0.47607 | 12.8968 | 0.7591 | 277.022 | 401 | 269 | 132 | 189 | 208 |
47 | Waywardtrends | 0.66833 | 0.54798 | 12.4554 | 1.4761 | 263.560 | 401 | 268 | 133 | 217 | 179 |
48 | ARGH Power Ratings | 0.66584 | 0.48148 | 12.7731 | 0.8953 | 272.858 | 401 | 267 | 134 | 182 | 196 |
49 | PerformanZ Ratings | 0.66584 | 0.52141 | 13.6989 | 1.9048 | 305.681 | 401 | 267 | 134 | 207 | 190 |
50 | Sagarin Points | 0.66584 | 0.51889 | 12.4593 | 0.3785 | 255.950 | 401 | 267 | 134 | 206 | 191 |
51 | Least Squares w/ HFA | 0.66225 | 0.53512 | 14.3719 | 1.5603 | 327.602 | 302 | 200 | 102 | 160 | 139 |
52 | Payne W/L | 0.65087 | 0.50253 | 13.1545 | 0.6977 | 291.661 | 401 | 261 | 140 | 199 | 197 |
53 | Logistic Regression | 0.64756 | 0.53623 | 14.2849 | -0.8567 | 362.924 | 349 | 226 | 123 | 185 | 160 |
54 | Cleanup Hitter | 0.62095 | 0.48837 | 13.5960 | 0.9279 | 298.045 | 401 | 249 | 152 | 189 | 198 |
* This system does not make predictions. I make predictions for this
system by translating it to a new scale that allows for making predictions.
Retrodictive records are found by taking the ratings from the current week
and applying them to the entire season to date.
The ideal system would be one that has the highest correct game decisions,
has the smallest mean error(deviation from the actual game result), and has
a bias of zero.
Mean Error = average[abs(prediction-actual)]
Bias = agerage(prediction - actual)
Std. = Standard Deviation of individual game biases