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