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 | Sagarin Recent | 0.67830 | 0.52141 | 12.4430 | 0.3165 | 257.696 | 401 | 272 | 129 | 207 | 190 |
2 | DP Dwiggins | 0.67500 | 0.51181 | 12.8200 | -0.3600 | 273.570 | 400 | 270 | 130 | 195 | 186 |
3 | Sagarin Ratings | 0.69077 | 0.51385 | 12.3537 | 0.3741 | 254.033 | 401 | 277 | 124 | 204 | 193 |
4 | Sagarin Points | 0.66584 | 0.51889 | 12.4593 | 0.3785 | 255.950 | 401 | 267 | 134 | 206 | 191 |
5 | Sagarin Golden Mean | 0.67830 | 0.49874 | 12.3747 | 0.5489 | 257.745 | 401 | 272 | 129 | 198 | 199 |
6 | Massey Ratings | 0.68080 | 0.54408 | 12.4326 | 0.5710 | 259.567 | 401 | 273 | 128 | 216 | 181 |
7 | Talisman Red | 0.67581 | 0.53149 | 12.6589 | 0.6449 | 269.413 | 401 | 271 | 130 | 211 | 186 |
8 | Payne W/L | 0.65087 | 0.50253 | 13.1545 | 0.6977 | 291.661 | 401 | 261 | 140 | 199 | 197 |
9 | TeamRankings.com | 0.69077 | 0.48092 | 12.4025 | 0.7067 | 258.742 | 401 | 277 | 124 | 189 | 204 |
10 | David Harville | 0.67830 | 0.51899 | 12.3732 | 0.7194 | 258.638 | 401 | 272 | 129 | 205 | 190 |
11 | Moore Power Ratings | 0.67082 | 0.47607 | 12.8968 | 0.7591 | 277.022 | 401 | 269 | 132 | 189 | 208 |
12 | Payne Power Ratings | 0.67332 | 0.49370 | 12.8127 | 0.8145 | 277.013 | 401 | 270 | 131 | 196 | 201 |
13 | Roundtable | 0.69966 | 0.49825 | 12.7270 | 0.8498 | 267.250 | 293 | 205 | 88 | 142 | 143 |
14 | Logistic Regression | 0.64756 | 0.53623 | 14.2849 | -0.8567 | 362.924 | 349 | 226 | 123 | 185 | 160 |
15 | Daniel Curry Index | 0.68342 | 0.51523 | 12.8351 | 0.8798 | 277.612 | 398 | 272 | 126 | 203 | 191 |
16 | Line (Midweek) | 0.68828 | | 12.1658 | 0.8865 | 246.572 | 401 | 276 | 125 | | |
17 | ARGH Power Ratings | 0.66584 | 0.48148 | 12.7731 | 0.8953 | 272.858 | 401 | 267 | 134 | 182 | 196 |
18 | Edward Kambour | 0.68329 | 0.51134 | 12.4024 | 0.9204 | 257.449 | 401 | 274 | 127 | 203 | 194 |
19 | Line (opening) | 0.68080 | 0.51506 | 12.1858 | 0.9214 | 248.344 | 401 | 273 | 128 | 171 | 161 |
20 | Cleanup Hitter | 0.62095 | 0.48837 | 13.5960 | 0.9279 | 298.045 | 401 | 249 | 152 | 189 | 198 |
21 | Line (updated) | 0.69077 | 0.48795 | 12.1696 | 0.9352 | 245.637 | 401 | 277 | 124 | 81 | 85 |
22 | Computer Adjusted Line | 0.68828 | 0.49780 | 12.1746 | 0.9401 | 246.707 | 401 | 276 | 125 | 113 | 114 |
23 | System Median | 0.68329 | 0.50891 | 12.2863 | 1.0033 | 254.703 | 401 | 274 | 127 | 200 | 193 |
24 | Versus Sports Simulator | 0.67332 | 0.49118 | 12.7174 | 1.0186 | 270.507 | 401 | 270 | 131 | 195 | 202 |
25 | Payne Predict | 0.67332 | 0.47475 | 12.9410 | 1.0327 | 283.334 | 401 | 270 | 131 | 188 | 208 |
26 | System Average | 0.67830 | 0.49495 | 12.3219 | 1.0654 | 255.928 | 401 | 272 | 129 | 196 | 200 |
27 | Bihl System | 0.68802 | 0.47472 | 12.7996 | 1.0667 | 268.819 | 359 | 247 | 112 | 169 | 187 |
28 | Laz Index | 0.67920 | 0.53046 | 12.5239 | 1.1060 | 258.874 | 399 | 271 | 128 | 209 | 185 |
29 | Billingsley | 0.67332 | 0.51134 | 12.8153 | 1.1215 | 277.332 | 401 | 270 | 131 | 203 | 194 |
30 | Pigskin Index | 0.68828 | 0.50928 | 12.5860 | 1.1550 | 268.728 | 401 | 276 | 125 | 192 | 185 |
31 | Pi-Rate Ratings | 0.70324 | 0.49361 | 12.3947 | 1.2003 | 261.324 | 401 | 282 | 119 | 193 | 198 |
32 | Pi-Ratings Mean | 0.70823 | 0.49100 | 12.3065 | 1.2143 | 257.356 | 401 | 284 | 117 | 191 | 198 |
33 | Laffaye RWP | 0.67830 | 0.49622 | 12.8430 | 1.2225 | 277.720 | 401 | 272 | 129 | 197 | 200 |
34 | Donchess Inference | 0.68080 | 0.52163 | 12.3888 | 1.2311 | 253.483 | 401 | 273 | 128 | 205 | 188 |
35 | Dave Congrove | 0.67830 | 0.50758 | 12.6351 | 1.2525 | 273.307 | 401 | 272 | 129 | 201 | 195 |
36 | FEI Projections | 0.68579 | 0.51015 | 12.5154 | -1.2731 | 260.921 | 401 | 275 | 126 | 201 | 193 |
37 | Howell | 0.68080 | 0.48670 | 13.0873 | 1.2844 | 287.375 | 401 | 273 | 128 | 183 | 193 |
38 | PI-Rate Bias | 0.69327 | 0.48608 | 12.4667 | 1.2967 | 262.545 | 401 | 278 | 123 | 192 | 203 |
39 | Linear Regression | 0.68481 | 0.49565 | 12.8546 | 1.3205 | 278.097 | 349 | 239 | 110 | 171 | 174 |
40 | Stephen Kerns | 0.68579 | 0.53046 | 12.6303 | 1.3528 | 267.524 | 401 | 275 | 126 | 209 | 185 |
41 | Dokter Entropy | 0.68828 | 0.50253 | 12.3029 | 1.3881 | 253.666 | 401 | 276 | 125 | 199 | 197 |
42 | Born Power Index | 0.67830 | 0.48866 | 12.7783 | 1.4112 | 275.438 | 401 | 272 | 129 | 194 | 203 |
43 | Dunkel Index | 0.68687 | 0.51276 | 12.8034 | 1.4600 | 279.992 | 396 | 272 | 124 | 201 | 191 |
44 | Waywardtrends | 0.66833 | 0.54798 | 12.4554 | 1.4761 | 263.560 | 401 | 268 | 133 | 217 | 179 |
45 | ESPN FPI | 0.68579 | 0.51889 | 12.3418 | 1.5017 | 256.291 | 401 | 275 | 126 | 206 | 191 |
46 | Least Squares w/ HFA | 0.66225 | 0.53512 | 14.3719 | 1.5603 | 327.602 | 302 | 200 | 102 | 160 | 139 |
47 | Beck Elo | 0.67581 | 0.47583 | 12.7865 | 1.6138 | 278.086 | 401 | 271 | 130 | 187 | 206 |
48 | Loudsound.org | 0.68857 | 0.53659 | 12.7886 | -1.6800 | 271.466 | 350 | 241 | 109 | 176 | 152 |
49 | Massey Consensus | 0.67581 | 0.49874 | 13.0219 | 1.7170 | 287.824 | 401 | 271 | 130 | 198 | 199 |
50 | Brent Craig | 0.69722 | 0.48459 | 12.7496 | 1.7930 | 271.689 | 360 | 251 | 109 | 173 | 184 |
51 | PerformanZ Ratings | 0.66584 | 0.52141 | 13.6989 | 1.9048 | 305.681 | 401 | 267 | 134 | 207 | 190 |
52 | Keeper | 0.68750 | 0.51646 | 12.8292 | 2.1349 | 272.116 | 400 | 275 | 125 | 204 | 191 |
53 | Catherwood Ratings | 0.67082 | 0.47721 | 12.9551 | 2.3965 | 283.654 | 401 | 269 | 132 | 178 | 195 |
54 | Stat Fox | 0.67581 | 0.49606 | 12.7732 | 2.4193 | 275.892 | 401 | 271 | 130 | 189 | 192 |
* 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