Computer Rating System Prediction Results for College Football (NCAA IA)
2016 Season Totals
Through 2017-01-10
Rank |
System |
Pct. Correct |
Against Spread |
Absolute Error |
Bias |
Mean Square Error |
games |
suw |
sul |
atsw |
atsl |
1 | Liam Bressler | 0.73377 | 0.51552 | 12.8296 | 0.2884 | 272.786 | 616 | 452 | 164 | 299 | 281 |
2 | Dokter Entropy | 0.72930 | 0.52092 | 13.1592 | -0.2165 | 286.456 | 761 | 555 | 206 | 386 | 355 |
3 | Catherwood Ratings | 0.72895 | 0.51464 | 13.5592 | 0.8066 | 300.714 | 760 | 554 | 206 | 369 | 348 |
4 | CPA Rankings | 0.72747 | 0.49781 | 13.7158 | 0.1451 | 306.041 | 466 | 339 | 127 | 227 | 229 |
5 | Computer Adjusted Line | 0.72559 | 0.53021 | 12.9169 | 0.2137 | 276.405 | 758 | 550 | 208 | 272 | 241 |
6 | Atomic Football | 0.72536 | 0.52211 | 13.2063 | -0.4074 | 288.518 | 761 | 552 | 209 | 366 | 335 |
7 | Sagarin Recent | 0.72536 | 0.50336 | 13.3770 | -0.2938 | 290.498 | 761 | 552 | 209 | 374 | 369 |
8 | Line (updated) | 0.72427 | 0.53846 | 12.8984 | 0.2612 | 276.082 | 758 | 549 | 209 | 252 | 216 |
9 | Sagarin Golden Mean | 0.72405 | 0.49191 | 13.3859 | -0.2845 | 290.456 | 761 | 551 | 210 | 365 | 377 |
10 | The Sports Cruncher | 0.72293 | 0.53655 | 12.9710 | -0.3927 | 286.245 | 711 | 514 | 197 | 367 | 317 |
11 | System Median | 0.72273 | 0.50956 | 13.1583 | -0.0932 | 285.390 | 761 | 550 | 211 | 373 | 359 |
12 | Pigskin Index | 0.72273 | 0.50631 | 13.2366 | -0.0746 | 288.539 | 761 | 550 | 211 | 361 | 352 |
13 | ESPN FPI | 0.72142 | 0.53369 | 13.1888 | 0.3284 | 287.999 | 761 | 549 | 212 | 396 | 346 |
14 | PI-Rate Bias | 0.72142 | 0.53045 | 13.2249 | 0.2936 | 285.484 | 761 | 549 | 212 | 392 | 347 |
15 | Stat Fox | 0.72142 | 0.50850 | 13.4257 | 1.0976 | 297.361 | 761 | 549 | 212 | 359 | 347 |
16 | Born Power Index | 0.72142 | 0.50674 | 13.6879 | 0.0522 | 304.852 | 761 | 549 | 212 | 376 | 366 |
17 | Ashby AccuRatings | 0.72105 | 0.52361 | 13.1961 | -0.0327 | 288.890 | 760 | 548 | 212 | 366 | 333 |
18 | Line (Midweek) | 0.72032 | | 12.9670 | 0.3311 | 278.934 | 758 | 546 | 212 | | |
19 | Line (opening) | 0.72032 | 0.50880 | 13.0139 | 0.1563 | 280.413 | 758 | 546 | 212 | 318 | 307 |
20 | System Average | 0.72011 | 0.51012 | 13.1610 | -0.0907 | 285.154 | 761 | 548 | 213 | 378 | 363 |
21 | Sagarin Ratings | 0.72011 | 0.50674 | 13.3559 | -0.2948 | 289.761 | 761 | 548 | 213 | 376 | 366 |
22 | Pi-Rate Ratings | 0.71879 | 0.53605 | 13.2855 | 0.4011 | 288.556 | 761 | 547 | 214 | 394 | 341 |
23 | Sagarin Points | 0.71879 | 0.50000 | 13.3936 | -0.3239 | 292.239 | 761 | 547 | 214 | 371 | 371 |
24 | Donchess Inference | 0.71879 | 0.50949 | 13.3520 | -0.2189 | 294.049 | 761 | 547 | 214 | 376 | 362 |
25 | Moore Power Ratings | 0.71879 | 0.53028 | 13.2512 | -0.4200 | 289.777 | 761 | 547 | 214 | 394 | 349 |
26 | Pi-Ratings Mean | 0.71748 | 0.48234 | 13.4793 | -0.0233 | 292.959 | 761 | 546 | 215 | 355 | 381 |
27 | Dunkel Index | 0.71748 | 0.48048 | 14.1953 | 0.2049 | 323.403 | 761 | 546 | 215 | 357 | 386 |
28 | Brent Craig | 0.71542 | 0.51081 | 13.5434 | -0.1353 | 303.346 | 759 | 543 | 216 | 378 | 362 |
29 | TeamRankings.com | 0.71485 | 0.50474 | 13.3436 | 0.4093 | 294.437 | 761 | 544 | 217 | 373 | 366 |
30 | CPA Retro | 0.71459 | 0.48465 | 14.3012 | -0.0577 | 322.941 | 466 | 333 | 133 | 221 | 235 |
31 | Edward Kambour | 0.71353 | 0.47914 | 13.7687 | -0.2216 | 304.072 | 761 | 543 | 218 | 356 | 387 |
32 | Daniel Curry Index | 0.71353 | 0.50202 | 13.8161 | 0.1257 | 308.657 | 761 | 543 | 218 | 373 | 370 |
33 | ThePowerRank.com | 0.71316 | 0.52033 | 13.6710 | -0.4521 | 309.149 | 760 | 542 | 218 | 384 | 354 |
34 | Billingsley+ | 0.71222 | 0.48452 | 13.5654 | -0.1815 | 300.540 | 761 | 542 | 219 | 360 | 383 |
35 | DP Dwiggins | 0.71202 | 0.48531 | 14.1268 | -0.4491 | 320.343 | 757 | 539 | 218 | 347 | 368 |
36 | ComPughter Ratings | 0.71070 | 0.48784 | 13.9242 | -0.2994 | 309.706 | 757 | 538 | 219 | 361 | 379 |
37 | Keeper | 0.71014 | 0.49326 | 14.2389 | 0.9879 | 330.342 | 759 | 539 | 220 | 366 | 376 |
38 | Lee Burdorf | 0.71014 | 0.53180 | 13.5625 | -0.1898 | 305.734 | 759 | 539 | 220 | 393 | 346 |
39 | Laz Index | 0.70828 | 0.51348 | 14.0319 | -0.6004 | 315.832 | 761 | 539 | 222 | 381 | 361 |
40 | Massey Ratings | 0.70828 | 0.53576 | 13.3559 | -0.5595 | 296.576 | 761 | 539 | 222 | 397 | 344 |
41 | Beck Elo | 0.70565 | 0.48652 | 13.8170 | -0.1846 | 307.307 | 761 | 537 | 224 | 361 | 381 |
42 | Marsee | 0.70565 | 0.49233 | 14.3075 | 1.8817 | 334.119 | 761 | 537 | 224 | 353 | 364 |
43 | ARGH Power Ratings | 0.70565 | 0.50275 | 13.8295 | -0.7382 | 311.193 | 761 | 537 | 224 | 366 | 362 |
44 | NutShell Sports | 0.70434 | 0.51012 | 13.9582 | -0.3327 | 320.074 | 761 | 536 | 225 | 378 | 363 |
45 | Dave Congrove | 0.70302 | 0.53774 | 13.5715 | -0.3527 | 303.309 | 761 | 535 | 226 | 399 | 343 |
46 | Payne Power Ratings | 0.70171 | 0.49191 | 14.0644 | -0.2422 | 320.333 | 761 | 534 | 227 | 365 | 377 |
47 | FEI Projections | 0.69789 | 0.48607 | 14.7546 | 0.2929 | 348.691 | 758 | 529 | 229 | 349 | 369 |
48 | Massey Consensus | 0.69777 | 0.51009 | 13.7626 | 0.2115 | 306.923 | 761 | 531 | 230 | 379 | 364 |
49 | DirectorOfInformation | 0.69777 | 0.46703 | 13.8219 | 0.2470 | 306.799 | 761 | 531 | 230 | 347 | 396 |
50 | Billingsley | 0.69777 | 0.50674 | 13.9907 | -0.7739 | 323.791 | 761 | 531 | 230 | 376 | 366 |
51 | Covers.com | 0.69251 | 0.49865 | 14.3916 | -0.9432 | 338.504 | 761 | 527 | 234 | 370 | 372 |
52 | Howell | 0.69120 | 0.49582 | 14.1826 | -0.2351 | 330.621 | 761 | 526 | 235 | 356 | 362 |
53 | Linear Regression | 0.68828 | 0.47315 | 14.6661 | -0.3842 | 343.397 | 401 | 276 | 125 | 185 | 206 |
54 | Laffaye RWP | 0.68659 | 0.51090 | 14.3166 | -1.4644 | 339.568 | 753 | 517 | 236 | 375 | 359 |
55 | PerformanZ Ratings | 0.68594 | 0.48248 | 14.7272 | -0.6452 | 348.575 | 761 | 522 | 239 | 358 | 384 |
56 | Super List | 0.68594 | 0.50202 | 15.3569 | 0.2208 | 376.486 | 761 | 522 | 239 | 372 | 369 |
57 | Cleanup Hitter | 0.68289 | 0.49930 | 14.3658 | -0.1709 | 343.770 | 760 | 519 | 241 | 359 | 360 |
58 | Stephen Kerns | 0.68068 | 0.50204 | 14.5556 | 0.3596 | 344.170 | 761 | 518 | 243 | 369 | 366 |
59 | Loudsound.org | 0.67513 | 0.48870 | 15.4572 | -4.5561 | 378.988 | 748 | 505 | 243 | 346 | 362 |
60 | Bihl System | 0.66889 | 0.48064 | 14.1643 | 0.9921 | 319.316 | 450 | 301 | 149 | 211 | 228 |
61 | PointShare | 0.66667 | 0.49062 | 15.3924 | -0.9441 | 370.619 | 381 | 254 | 127 | 183 | 190 |
62 | Logistic Regression | 0.66085 | 0.50639 | 16.4432 | -3.4017 | 416.977 | 401 | 265 | 136 | 198 | 193 |
63 | Least Squares w/ HFA | 0.65337 | 0.52564 | 17.0239 | -0.6736 | 476.472 | 401 | 262 | 139 | 205 | 185 |
64 | Sportrends | 0.65182 | 0.49359 | 14.6974 | -0.1508 | 343.085 | 494 | 322 | 172 | 231 | 237 |
* 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