Computer Rating System Prediction Results for College Football (NCAA IA)
2022 Season Totals
Through 2023-01-10
Rank |
System |
Pct. Correct |
Against Spread |
Absolute Error |
Bias |
Mean Square Error |
games |
suw |
sul |
atsw |
atsl |
1 | Laffaye RWP | 0.68283 | 0.48039 | 13.5330 | -0.0155 | 291.424 | 722 | 493 | 229 | 343 | 371 |
2 | Moore Power Ratings | 0.68000 | 0.48172 | 13.1106 | -0.0252 | 276.591 | 775 | 527 | 248 | 369 | 397 |
3 | Sagarin Recent | 0.69974 | 0.49153 | 12.6528 | -0.0329 | 257.407 | 776 | 543 | 233 | 377 | 390 |
4 | Sagarin Golden Mean | 0.68041 | 0.50651 | 12.5151 | -0.0336 | 253.531 | 776 | 528 | 248 | 389 | 379 |
5 | Massey Ratings | 0.69716 | 0.53194 | 12.4786 | -0.0418 | 251.724 | 776 | 541 | 235 | 408 | 359 |
6 | ARGH Power Ratings | 0.67526 | 0.47891 | 13.0938 | -0.0512 | 276.669 | 776 | 524 | 252 | 352 | 383 |
7 | David Harville | 0.69459 | 0.50914 | 12.4966 | 0.0855 | 253.125 | 776 | 539 | 237 | 390 | 376 |
8 | Sagarin Ratings | 0.70747 | 0.50651 | 12.4622 | -0.1380 | 249.689 | 776 | 549 | 227 | 389 | 379 |
9 | Sagarin Points | 0.68943 | 0.50392 | 12.5489 | -0.1454 | 253.307 | 776 | 535 | 241 | 386 | 380 |
10 | Billingsley | 0.66452 | 0.50261 | 13.4379 | 0.1611 | 292.406 | 775 | 515 | 260 | 385 | 381 |
11 | Payne Power Ratings | 0.68814 | 0.49479 | 12.8681 | 0.2151 | 267.004 | 776 | 534 | 242 | 380 | 388 |
12 | Payne W/L | 0.65851 | 0.48956 | 13.5289 | -0.2410 | 295.208 | 776 | 511 | 265 | 375 | 391 |
13 | Howell | 0.67655 | 0.47684 | 13.4124 | 0.2463 | 294.056 | 776 | 525 | 251 | 350 | 384 |
14 | Talisman Red | 0.69201 | 0.52344 | 12.9252 | 0.2529 | 271.807 | 776 | 537 | 239 | 402 | 366 |
15 | TeamRankings.com | 0.70361 | 0.47895 | 12.3957 | 0.2530 | 249.400 | 776 | 546 | 230 | 364 | 396 |
16 | Laz Index | 0.68863 | 0.51895 | 12.8401 | 0.4397 | 263.631 | 774 | 533 | 241 | 397 | 368 |
17 | Donchess Inference | 0.70103 | 0.52185 | 12.4516 | 0.4972 | 250.995 | 776 | 544 | 232 | 394 | 361 |
18 | System Median | 0.69330 | 0.50859 | 12.3608 | 0.5109 | 246.750 | 776 | 538 | 238 | 385 | 372 |
19 | System Average | 0.68814 | 0.49935 | 12.4338 | 0.5424 | 248.770 | 776 | 534 | 242 | 383 | 384 |
20 | Roundtable | 0.68340 | 0.50298 | 13.0444 | 0.5502 | 279.380 | 518 | 354 | 164 | 253 | 250 |
21 | Cleanup Hitter | 0.64820 | 0.46996 | 14.0045 | 0.5626 | 310.485 | 776 | 503 | 273 | 352 | 397 |
22 | Line (Midweek) | 0.72036 | | 12.0599 | 0.5664 | 234.538 | 776 | 559 | 217 | | |
23 | Edward Kambour | 0.68863 | 0.48564 | 12.6617 | 0.5814 | 259.395 | 774 | 533 | 241 | 372 | 394 |
24 | Computer Adjusted Line | 0.71392 | 0.46903 | 12.0921 | 0.5844 | 234.884 | 776 | 554 | 222 | 212 | 240 |
25 | Line (updated) | 0.71521 | 0.49280 | 12.0651 | 0.6012 | 233.847 | 776 | 555 | 221 | 171 | 176 |
26 | Line (opening) | 0.70619 | 0.50779 | 12.0805 | 0.6617 | 236.294 | 776 | 548 | 228 | 326 | 316 |
27 | Bihl System | 0.67317 | 0.48157 | 12.8694 | 0.7020 | 271.105 | 410 | 276 | 134 | 196 | 211 |
28 | Stephen Kerns | 0.69072 | 0.48429 | 13.8967 | 0.7545 | 312.164 | 776 | 536 | 240 | 370 | 394 |
29 | Daniel Curry Index | 0.68564 | 0.50065 | 13.1672 | 0.7610 | 280.958 | 773 | 530 | 243 | 383 | 382 |
30 | Versus Sports Simulator | 0.69728 | 0.47582 | 12.7339 | 0.7699 | 262.842 | 773 | 539 | 234 | 364 | 401 |
31 | Payne Predict | 0.68428 | 0.47320 | 13.1513 | 0.7929 | 278.935 | 776 | 531 | 245 | 362 | 403 |
32 | Waywardtrends | 0.68428 | 0.51108 | 12.7776 | 0.8167 | 264.981 | 776 | 531 | 245 | 392 | 375 |
33 | Beck Elo | 0.67784 | 0.48037 | 13.1371 | 0.8316 | 277.478 | 776 | 526 | 250 | 367 | 397 |
34 | Logistic Regression | 0.64756 | 0.53623 | 14.2849 | -0.8567 | 362.924 | 349 | 226 | 123 | 185 | 160 |
35 | DP Dwiggins | 0.69290 | 0.48656 | 13.2723 | -0.9342 | 283.183 | 775 | 537 | 238 | 362 | 382 |
36 | Pi-Ratings Mean | 0.71134 | 0.49208 | 12.3640 | 0.9370 | 246.959 | 776 | 552 | 224 | 373 | 385 |
37 | Dave Congrove | 0.68428 | 0.50717 | 12.9343 | 0.9805 | 267.934 | 776 | 531 | 245 | 389 | 378 |
38 | PerformanZ Ratings | 0.66624 | 0.48568 | 14.0026 | 0.9886 | 310.134 | 776 | 517 | 259 | 373 | 395 |
39 | ESPN FPI | 0.70351 | 0.50526 | 12.2733 | 0.9943 | 244.335 | 769 | 541 | 228 | 384 | 376 |
40 | Dokter Entropy | 0.70361 | 0.49086 | 12.2791 | 1.0174 | 243.062 | 776 | 546 | 230 | 376 | 390 |
41 | Pigskin Index | 0.70232 | 0.48971 | 12.5657 | 1.0377 | 255.484 | 776 | 545 | 231 | 357 | 372 |
42 | Pi-Rate Ratings | 0.71134 | 0.49211 | 12.4384 | 1.0485 | 251.072 | 776 | 552 | 224 | 374 | 386 |
43 | PI-Rate Bias | 0.70232 | 0.49020 | 12.4605 | 1.0799 | 251.311 | 776 | 545 | 231 | 375 | 390 |
44 | Brent Craig | 0.70330 | 0.45492 | 12.6782 | 1.2032 | 256.102 | 728 | 512 | 216 | 328 | 393 |
45 | Dunkel Index | 0.69648 | 0.49631 | 13.0713 | 1.2361 | 279.665 | 682 | 475 | 207 | 336 | 341 |
46 | Born Power Index | 0.69459 | 0.47917 | 13.0384 | 1.2843 | 276.156 | 776 | 539 | 237 | 368 | 400 |
47 | Linear Regression | 0.68481 | 0.49565 | 12.8546 | 1.3205 | 278.097 | 349 | 239 | 110 | 171 | 174 |
48 | Massey Consensus | 0.68170 | 0.47005 | 13.0411 | 1.4341 | 279.200 | 776 | 529 | 247 | 361 | 407 |
49 | Least Squares w/ HFA | 0.66225 | 0.53512 | 14.3719 | 1.5603 | 327.602 | 302 | 200 | 102 | 160 | 139 |
50 | Keeper | 0.69548 | 0.52480 | 13.1567 | 1.6739 | 279.270 | 775 | 539 | 236 | 402 | 364 |
51 | FEI Projections | 0.67572 | 0.49433 | 12.6622 | -1.6793 | 261.959 | 626 | 423 | 203 | 305 | 312 |
52 | Catherwood Ratings | 0.67784 | 0.46143 | 13.2668 | 1.9858 | 281.530 | 776 | 526 | 250 | 341 | 398 |
53 | Stat Fox | 0.69010 | 0.49252 | 12.7449 | 2.0602 | 262.238 | 768 | 530 | 238 | 362 | 373 |
54 | Loudsound.org | 0.66435 | 0.51679 | 13.9540 | -3.3022 | 309.256 | 718 | 477 | 241 | 354 | 331 |
* 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