Computer Rating System Prediction Results for College Football (NCAA IA)
2021 Season Totals
Through 2022-01-11
Rank |
System |
Pct. Correct |
Against Spread |
Absolute Error |
Bias |
Mean Square Error |
games |
suw |
sul |
atsw |
atsl |
1 | Keeper | 0.71035 | 0.51531 | 13.4245 | 1.2305 | 283.635 | 763 | 542 | 221 | 387 | 364 |
2 | Stephen Kerns | 0.68831 | 0.50725 | 13.9070 | 1.0216 | 301.969 | 770 | 530 | 240 | 385 | 374 |
3 | Dave Congrove | 0.68270 | 0.50528 | 13.7253 | 0.9936 | 288.525 | 769 | 525 | 244 | 383 | 375 |
4 | Pi-Rate Ratings | 0.69870 | 0.50531 | 13.2049 | 1.0277 | 264.988 | 770 | 538 | 232 | 381 | 373 |
5 | Super List | 0.71299 | 0.49934 | 15.2931 | 1.5619 | 355.876 | 770 | 549 | 221 | 378 | 379 |
6 | Beck Elo | 0.69610 | 0.49474 | 13.4583 | 0.7619 | 284.370 | 770 | 536 | 234 | 376 | 384 |
7 | PI-Rate Bias | 0.71039 | 0.49538 | 13.2086 | 1.1340 | 264.793 | 770 | 547 | 223 | 375 | 382 |
8 | Moore Power Ratings | 0.69221 | 0.48816 | 13.4232 | 0.6346 | 279.246 | 770 | 533 | 237 | 371 | 389 |
9 | Massey Consensus | 0.72857 | 0.48748 | 13.5983 | 1.2433 | 283.608 | 770 | 561 | 209 | 370 | 389 |
10 | Born Power Index | 0.68442 | 0.48553 | 13.5410 | 1.2933 | 278.308 | 770 | 527 | 243 | 369 | 391 |
11 | Pi-Ratings Mean | 0.70909 | 0.49398 | 13.1366 | 1.0153 | 261.875 | 770 | 546 | 224 | 369 | 378 |
12 | ARGH Power Ratings | 0.71688 | 0.50000 | 13.4558 | -0.1104 | 281.555 | 770 | 552 | 218 | 369 | 369 |
13 | Laz Index | 0.71429 | 0.48681 | 13.1609 | 0.6398 | 263.527 | 770 | 550 | 220 | 369 | 389 |
14 | System Average | 0.70649 | 0.48617 | 12.9646 | 0.5539 | 255.949 | 770 | 544 | 226 | 369 | 390 |
15 | Massey Ratings | 0.69091 | 0.48289 | 13.4370 | -0.0081 | 276.138 | 770 | 532 | 238 | 367 | 393 |
16 | Billingsley | 0.71169 | 0.48221 | 13.8826 | 0.1543 | 304.154 | 770 | 548 | 222 | 366 | 393 |
17 | Edward Kambour | 0.70909 | 0.48158 | 13.2806 | 0.6883 | 265.528 | 770 | 546 | 224 | 366 | 394 |
18 | Howell | 0.70833 | 0.49389 | 13.5013 | -0.1457 | 282.844 | 768 | 544 | 224 | 364 | 373 |
19 | Sagarin Recent | 0.69221 | 0.47895 | 13.5677 | 0.4317 | 292.251 | 770 | 533 | 237 | 364 | 396 |
20 | PerformanZ Ratings | 0.70909 | 0.47958 | 14.0244 | 0.5273 | 308.273 | 770 | 546 | 224 | 364 | 395 |
21 | TeamRankings.com | 0.70390 | 0.48271 | 13.1130 | 0.7473 | 263.278 | 770 | 542 | 228 | 363 | 389 |
22 | DP Dwiggins | 0.69191 | 0.49589 | 13.9295 | 0.3133 | 304.002 | 766 | 530 | 236 | 362 | 368 |
23 | Payne W/L | 0.71299 | 0.47625 | 14.3145 | -0.7173 | 318.431 | 770 | 549 | 221 | 361 | 397 |
24 | Pigskin Index | 0.68312 | 0.50211 | 13.1947 | 0.9822 | 262.218 | 770 | 526 | 244 | 357 | 354 |
25 | System Median | 0.70130 | 0.47410 | 12.9598 | 0.5655 | 255.160 | 770 | 540 | 230 | 357 | 396 |
26 | Stat Fox | 0.68701 | 0.49038 | 13.4117 | 2.1963 | 274.644 | 770 | 529 | 241 | 357 | 371 |
27 | Sagarin Golden Mean | 0.68182 | 0.46711 | 13.5186 | 0.3441 | 283.960 | 770 | 525 | 245 | 355 | 405 |
28 | Daniel Curry Index | 0.68961 | 0.46711 | 13.8791 | 0.1010 | 298.036 | 770 | 531 | 239 | 355 | 405 |
29 | ESPN FPI | 0.69870 | 0.46772 | 13.0218 | 1.1573 | 260.627 | 770 | 538 | 232 | 355 | 404 |
30 | Payne Power Ratings | 0.70390 | 0.46711 | 13.6009 | -0.1149 | 286.661 | 770 | 542 | 228 | 355 | 405 |
31 | Versus Sports Simulator | 0.70143 | 0.46764 | 13.3260 | 0.6634 | 271.270 | 767 | 538 | 229 | 354 | 403 |
32 | Loudsound.org | 0.65395 | 0.47962 | 14.7039 | -2.9618 | 340.061 | 760 | 497 | 263 | 353 | 383 |
33 | Donchess Inference | 0.71688 | 0.47383 | 13.2899 | 0.2138 | 267.461 | 770 | 552 | 218 | 353 | 392 |
34 | Cleanup Hitter | 0.66883 | 0.47312 | 14.3228 | 0.8333 | 319.305 | 770 | 515 | 255 | 352 | 392 |
35 | Payne Predict | 0.69091 | 0.46316 | 13.8672 | 0.3339 | 301.146 | 770 | 532 | 238 | 352 | 408 |
36 | Laffaye RWP | 0.70141 | 0.50359 | 13.8664 | 0.2000 | 304.175 | 710 | 498 | 212 | 351 | 346 |
37 | Sagarin Points | 0.69221 | 0.45850 | 13.3517 | 0.2749 | 270.378 | 770 | 533 | 237 | 348 | 411 |
38 | Dokter Entropy | 0.71651 | 0.45971 | 13.1405 | 0.5041 | 262.208 | 769 | 551 | 218 | 348 | 409 |
39 | David Harville | 0.70390 | 0.45910 | 13.1467 | 0.2825 | 262.413 | 770 | 542 | 228 | 348 | 410 |
40 | Talisman Red | 0.68994 | 0.49081 | 13.3432 | 0.1340 | 271.022 | 716 | 494 | 222 | 347 | 360 |
41 | Dunkel Index | 0.67630 | 0.49780 | 13.5055 | 1.3240 | 279.919 | 692 | 468 | 224 | 340 | 343 |
42 | Sagarin Ratings | 0.69091 | 0.44737 | 13.2541 | 0.2903 | 266.691 | 770 | 532 | 238 | 340 | 420 |
43 | Line (opening) | 0.70779 | 0.50000 | 12.7526 | 0.2760 | 251.696 | 770 | 545 | 225 | 337 | 337 |
44 | FEI Projections | 0.68277 | 0.50412 | 13.0317 | 0.3315 | 257.875 | 621 | 424 | 197 | 306 | 301 |
45 | Roundtable | 0.69231 | 0.50198 | 13.6266 | 0.7186 | 293.881 | 533 | 369 | 164 | 253 | 251 |
46 | Brent Craig | 0.70843 | 0.51942 | 13.0799 | 0.5354 | 263.541 | 415 | 294 | 121 | 214 | 198 |
47 | Computer Adjusted Line | 0.71299 | 0.47674 | 12.6591 | 0.4734 | 246.306 | 770 | 549 | 221 | 205 | 225 |
48 | Least Squares w/ HFA | 0.66584 | 0.51515 | 15.6582 | 0.6268 | 372.986 | 401 | 267 | 134 | 204 | 192 |
49 | Bihl System | 0.69324 | 0.49392 | 13.0753 | 0.2528 | 258.480 | 414 | 287 | 127 | 203 | 208 |
50 | Linear Regression | 0.69077 | 0.49747 | 13.1928 | 0.4825 | 267.460 | 401 | 277 | 124 | 197 | 199 |
51 | Logistic Regression | 0.67830 | 0.47222 | 15.4058 | -2.1711 | 369.469 | 401 | 272 | 129 | 187 | 209 |
52 | Line (updated) | 0.71818 | 0.50000 | 12.6247 | 0.4247 | 245.711 | 770 | 553 | 217 | 165 | 165 |
53 | Catherwood Ratings | 0.77027 | 0.50000 | 13.7432 | 0.6351 | 276.443 | 148 | 114 | 34 | 70 | 70 |
54 | Line (Midweek) | 0.71169 | | 12.6429 | 0.4740 | 246.300 | 770 | 548 | 222 | | |
* 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