Computer Rating System Prediction Results for College Football (NCAA IA)
2014 Last Week
Through 2015-01-13
Rank |
System |
Pct. Correct |
Against Spread |
Absolute Error |
Bias |
Mean Square Error |
games |
suw |
sul |
atsw |
atsl |
1 | ARGH Power Ratings | 0.53846 | 0.67568 | 12.6923 | -0.0769 | 262.734 | 39 | 21 | 18 | 25 | 12 |
2 | Ashby AccuRatings | 0.61538 | 0.65789 | 12.6408 | -0.0756 | 264.180 | 39 | 24 | 15 | 25 | 13 |
3 | Atomic Football | 0.46154 | 0.55882 | 13.2821 | -0.5641 | 275.838 | 39 | 18 | 21 | 19 | 15 |
4 | Beck Elo | 0.58974 | 0.58974 | 13.2636 | 0.2195 | 256.572 | 39 | 23 | 16 | 23 | 16 |
5 | Bihl System | 0.57895 | 0.57895 | 12.8295 | -0.2042 | 252.164 | 38 | 22 | 16 | 22 | 16 |
6 | Billingsley | 0.51282 | 0.48718 | 13.6244 | -1.5567 | 299.108 | 39 | 20 | 19 | 19 | 20 |
7 | Billingsley+ | 0.48718 | 0.51282 | 13.4495 | -1.1674 | 276.538 | 39 | 19 | 20 | 20 | 19 |
8 | Born Power Index | 0.51282 | 0.56410 | 12.7105 | 1.1515 | 253.945 | 39 | 20 | 19 | 22 | 17 |
9 | Brent Craig | 0.47368 | 0.47368 | 13.3300 | 0.3921 | 260.006 | 38 | 18 | 20 | 18 | 20 |
10 | Catherwood Ratings | 0.48718 | 0.44737 | 13.8718 | 1.6154 | 289.959 | 39 | 19 | 20 | 17 | 21 |
11 | Cleanup Hitter | 0.48718 | 0.58974 | 13.0541 | -0.6228 | 266.619 | 39 | 19 | 20 | 23 | 16 |
12 | ComPughter Ratings | 0.51282 | 0.56410 | 13.6600 | 0.3846 | 298.971 | 39 | 20 | 19 | 22 | 17 |
13 | Computer Adjusted Line | 0.48718 | 0.40909 | 13.5000 | 0.3205 | 270.773 | 39 | 19 | 20 | 9 | 13 |
14 | Covers.com | 0.48718 | 0.59459 | 13.2118 | -1.3005 | 283.115 | 39 | 19 | 20 | 22 | 15 |
15 | CPA Rankings | 0.51282 | 0.46154 | 13.0467 | 1.4103 | 260.878 | 39 | 20 | 19 | 18 | 21 |
16 | CPA Retro | 0.51282 | 0.48718 | 13.1656 | 0.5846 | 270.650 | 39 | 20 | 19 | 19 | 20 |
17 | Daniel Curry Index | 0.58974 | 0.51282 | 12.9385 | -0.2205 | 244.673 | 39 | 23 | 16 | 20 | 19 |
18 | Dave Congrove | 0.61538 | 0.53846 | 13.1364 | -0.9210 | 284.607 | 39 | 24 | 15 | 21 | 18 |
19 | DirectorOfInformation | 0.46154 | 0.48718 | 13.3826 | -0.2738 | 280.117 | 39 | 18 | 21 | 19 | 20 |
20 | Dokter Entropy | 0.43590 | 0.56410 | 13.1700 | 0.0264 | 257.624 | 39 | 17 | 22 | 22 | 17 |
21 | Donchess Inference | 0.53846 | 0.53846 | 13.2618 | 0.3136 | 267.606 | 39 | 21 | 18 | 21 | 18 |
22 | Dunkel Index | 0.56410 | 0.46154 | 13.7313 | 1.8533 | 274.221 | 39 | 22 | 17 | 18 | 21 |
23 | Edward Kambour | 0.56410 | 0.48718 | 13.3715 | 0.6726 | 278.002 | 39 | 22 | 17 | 19 | 20 |
24 | FEI Projections | 0.53846 | 0.47222 | 14.0256 | -1.5128 | 297.249 | 39 | 21 | 18 | 17 | 19 |
25 | Howell | 0.60526 | 0.60000 | 12.6047 | -1.2363 | 257.172 | 38 | 23 | 15 | 21 | 14 |
26 | Keeper | 0.55263 | 0.50000 | 12.8163 | -0.2295 | 243.321 | 38 | 21 | 17 | 19 | 19 |
27 | Laffaye RWP | 0.56410 | 0.53846 | 13.2364 | -1.2733 | 280.166 | 39 | 22 | 17 | 21 | 18 |
28 | Laffaye XWP | 0.53846 | 0.46154 | 18.0103 | 9.4769 | 499.397 | 39 | 21 | 18 | 18 | 21 |
29 | Laz Index | 0.48718 | 0.64103 | 13.0221 | -0.2231 | 266.125 | 39 | 19 | 20 | 25 | 14 |
30 | Least Squares w/ HFA | 0.51282 | 0.33333 | 17.4151 | 5.0885 | 424.213 | 39 | 20 | 19 | 13 | 26 |
31 | Lee Burdorf | 0.51282 | 0.48718 | 13.5615 | 1.1718 | 279.769 | 39 | 20 | 19 | 19 | 20 |
32 | Line (Midweek) | 0.51282 | | 13.4103 | 0.4359 | 269.111 | 39 | 20 | 19 | | |
33 | Line (opening) | 0.41026 | 0.47059 | 13.5513 | 0.1154 | 275.096 | 39 | 16 | 23 | 16 | 18 |
34 | Line (updated) | 0.48718 | 0.31579 | 13.5769 | 0.3718 | 273.426 | 39 | 19 | 20 | 6 | 13 |
35 | Linear Regression | 0.53846 | 0.57895 | 13.2392 | 1.6900 | 269.832 | 39 | 21 | 18 | 22 | 16 |
36 | Logistic Regression | 0.61538 | 0.51282 | 14.0295 | -1.0356 | 309.557 | 39 | 24 | 15 | 20 | 19 |
37 | Loudsound.org | 0.52381 | 0.75000 | 12.4757 | -0.3805 | 261.703 | 21 | 11 | 10 | 15 | 5 |
38 | Marsee | 0.48718 | 0.47368 | 13.6667 | 0.5897 | 278.376 | 39 | 19 | 20 | 18 | 20 |
39 | Massey Consensus | 0.56410 | 0.64103 | 12.8485 | -0.7105 | 264.458 | 39 | 22 | 17 | 25 | 14 |
40 | Massey Ratings | 0.56410 | 0.55882 | 13.1282 | -0.0513 | 268.102 | 39 | 22 | 17 | 19 | 15 |
41 | MDS Model | 0.63158 | 0.63158 | 12.1587 | -1.9713 | 251.398 | 38 | 24 | 14 | 24 | 14 |
42 | Moore Power Ratings | 0.56410 | 0.64103 | 13.0900 | 0.1459 | 264.668 | 39 | 22 | 17 | 25 | 14 |
43 | NutShell Combo | 0.56410 | 0.56410 | 13.4723 | -0.9518 | 271.504 | 39 | 22 | 17 | 22 | 17 |
44 | Nutshell Eye | 0.53846 | 0.51282 | 13.7092 | -1.8564 | 289.067 | 39 | 21 | 18 | 20 | 19 |
45 | Nutshell Girl | 0.51282 | 0.53846 | 14.3433 | -1.2644 | 350.044 | 39 | 20 | 19 | 21 | 18 |
46 | NutShell Sports | 0.53846 | 0.56410 | 13.2231 | -1.3513 | 261.181 | 39 | 21 | 18 | 22 | 17 |
47 | Payne Power Ratings | 0.61538 | 0.53846 | 13.0490 | -0.6567 | 265.322 | 39 | 24 | 15 | 21 | 18 |
48 | PerformanZ Ratings | 0.51282 | 0.56410 | 13.0626 | 0.2944 | 269.764 | 39 | 20 | 19 | 22 | 17 |
49 | PI-Rate Bias | 0.48718 | 0.50000 | 13.3818 | 1.4997 | 273.246 | 39 | 19 | 20 | 19 | 19 |
50 | Pi-Rate Ratings | 0.46154 | 0.48718 | 13.4977 | 1.5690 | 274.807 | 39 | 18 | 21 | 19 | 20 |
51 | Pi-Ratings Mean | 0.48718 | 0.52632 | 13.5151 | 0.8900 | 266.799 | 39 | 19 | 20 | 20 | 18 |
52 | Pigskin Index | 0.58974 | 0.48649 | 13.0518 | -0.5892 | 264.739 | 39 | 23 | 16 | 18 | 19 |
53 | PointShare | 0.51282 | 0.43590 | 13.8203 | 0.3741 | 291.751 | 39 | 20 | 19 | 17 | 22 |
54 | Regression Based Analys | 0.60870 | 0.59091 | 12.5217 | 0.5217 | 247.727 | 23 | 14 | 9 | 13 | 9 |
55 | Sagarin Golden Mean | 0.51282 | 0.58974 | 13.3351 | 1.7751 | 287.826 | 39 | 20 | 19 | 23 | 16 |
56 | Sagarin Points | 0.53846 | 0.53846 | 13.1015 | 0.9138 | 263.956 | 39 | 21 | 18 | 21 | 18 |
57 | Sagarin Points Elo | 0.66667 | 0.53846 | 13.3921 | -0.5279 | 271.620 | 39 | 26 | 13 | 21 | 18 |
58 | Sagarin Ratings | 0.51282 | 0.64103 | 13.1859 | 0.8362 | 263.966 | 39 | 20 | 19 | 25 | 14 |
59 | Sportrends | 0.54054 | 0.58824 | 13.2973 | 0.4595 | 287.846 | 37 | 20 | 17 | 20 | 14 |
60 | Stat Fox | 0.53846 | 0.50000 | 12.9495 | 0.5392 | 262.489 | 39 | 21 | 18 | 17 | 17 |
61 | Stephen Kerns | 0.48718 | 0.56410 | 12.6385 | -0.1256 | 255.137 | 39 | 19 | 20 | 22 | 17 |
62 | Super List | 0.53846 | 0.61538 | 13.0003 | 0.6449 | 262.485 | 39 | 21 | 18 | 24 | 15 |
63 | System Average | 0.48718 | 0.61538 | 13.0321 | 0.1736 | 259.618 | 39 | 19 | 20 | 24 | 15 |
64 | System Median | 0.51282 | 0.60526 | 12.9718 | 0.0744 | 257.170 | 39 | 20 | 19 | 23 | 15 |
65 | Tempo Free Gridiron | 0.43478 | 0.40909 | 14.0000 | -3.4783 | 301.735 | 23 | 10 | 13 | 9 | 13 |
66 | ThePowerRank.com | 0.53846 | 0.55263 | 13.1438 | -0.5331 | 271.815 | 39 | 21 | 18 | 21 | 17 |
67 | Thompson ATS | 0.48718 | 0.61538 | 13.2821 | 0.4872 | 264.469 | 39 | 19 | 20 | 24 | 15 |
68 | Thompson Average | 0.48718 | 0.58974 | 13.2295 | 0.4505 | 260.960 | 39 | 19 | 20 | 23 | 16 |
69 | Thompson CAL | 0.48718 | 0.58974 | 13.3385 | 0.5436 | 263.340 | 39 | 19 | 20 | 23 | 16 |
* 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