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