Computer Rating System Prediction Results for College Football (NCAA IA)

2010 Last Week

Through
Rank System Pct. Correct Against Spread Absolute Error Bias Mean Square Error games suw sul atsw atsl
1NutShell Sports0.571430.6176512.0786-1.3831217.6403520152113
2Lee Burdorf0.742860.5882411.8689-2.7369221.304352692014
3Born Power Index0.628570.6176511.8826-2.3911228.5433522132113
4Stat Fox0.685710.5882412.1711-2.5700230.1393524112014
5NationalSportsRankings0.714290.6764711.9823-2.6286231.3833525102311
6Brent Craig 20.685710.6176512.6000-2.2000244.1433524112113
7NutShell Combo0.600000.6764713.1703-3.1063250.2203521142311
8Moore Power Ratings0.685710.4705912.8737-3.0869255.4413524111618
9Linear Regression0.657140.6470612.9671-2.9174258.1183523122212
10CPA Rankings0.628570.6176513.1009-2.4734258.6243522132113
11Austin Sports0.628570.5882413.2674-2.9817261.5293522132014
12System Median0.657140.6764713.1840-3.0143262.7233523122311
13Sagarin Predictive0.657140.5882413.1383-3.2137263.6363523122014
14Pigskin Index0.685710.5294112.8000-3.7126265.0263524111816
15Catherwood Ratings0.685710.5882413.0857-2.5143265.4863524112014
16Billingsley+0.514290.4411813.5906-3.1797266.3083518171519
17Bihl System0.657140.6470613.3703-3.2286266.4813523122212
18System Average0.600000.6176513.3197-2.8540267.0913521142113
19Marsee0.628570.6060613.2857-3.1143269.6293522132013
20Massey Ratings0.542860.5588213.5434-2.8331270.0463519161915
21Keeper0.685710.5588212.93541.3554270.6973524111915
22CF By the Numbers0.571430.5454513.3429-1.5143271.0573520151815
23Stephen Kerns0.628570.4705913.3200-2.4457275.5753522131618
24Edward Kambour0.657140.5882413.3020-3.2289275.8093523122014
25BG Sports0.628570.6060613.12863.7571277.8643522132013
26Dave Congrove0.600000.5294113.7889-2.6626279.8873521141816
27Laz Index0.628570.5588213.4929-3.5963280.2093522131915
28PerformanZ Ratings0.600000.5294113.3783-2.9697280.5943521141816
29Beck Elo0.571430.4117613.7823-4.3989281.3703520151420
30ARGH Power Ratings0.685710.5757613.4000-2.7143284.0753524111914
31Sagarin0.600000.5882413.8169-3.1580286.3903521142014
32Computer Adjusted Line0.628570.4545513.5286-2.3286286.92135221356
33Line (updated)0.6000013.4571-2.2000287.471352114
34Dokter Entropy0.628570.5151514.0666-3.2837291.0953522131716
35Howell0.657140.5882413.6143-2.2714291.4503523122014
36Schmidt Comp. Ratings0.571430.4411814.1000-3.9263292.5603520151519
37Sportrends0.600000.5000014.0000-3.6571293.3573521141515
38Ashby AccuRatings0.571430.4375014.1143-3.3143293.4863520151418
39Payne Power Ratings0.628570.5757613.8534-3.2637293.5643522131914
40Laffaye XWP0.714290.5454513.6769-4.2711293.9033525101815
41Line (opening)0.542860.4000014.0571-2.2000296.8863519161218
42Super List0.514290.5294114.2900-1.1643298.1193518171816
43Tempo Free Gridiron0.628570.5151513.9714-4.8286298.5433522131716
44Massey Consensus0.600000.5588213.9729-3.2980300.3043521141915
45Hank Trexler0.600000.4848513.8857-4.2286301.4293521141617
46Least Squares w/ HFA0.657140.5000014.2331-0.0274301.5353523121717
47Atomic Football0.628570.4117614.2446-3.0023302.7323522131420
48Billingsley0.628570.4705914.2286-3.6857304.7323522131618
49Warren Claassen0.657140.5294114.0697-3.2783307.4833523121816
50Bassett Model0.619050.6500013.8262-2.1414307.92321138137
51Regression-Based Analys0.600000.4687514.2571-1.7429309.1713521141517
52Brent Craig0.571430.5151513.5714-3.8857311.2143520151716
53Covers.com0.657140.5454514.0100-4.6911313.7053523121815
54Nutshell Girl0.514290.4411814.6617-4.8326314.9333518171519
55Wolfe *0.542860.5294114.6777-2.8269323.8793519161816
56Massey *0.571430.5294114.9674-2.5463328.6603520151816
57Sagarin Elo0.571430.5294114.9189-2.9029328.7973520151816
58Anderson/Hester *0.571430.5000014.6220-3.6763331.8783520151717
59Logistic Regression0.542860.4411815.2091-6.3983337.5493519161519
60CPA Retro0.542860.4117615.1217-4.1486354.4193519161420
61Martien Maas0.571430.5000016.4829-0.0771394.2553520151717
62Dunkel Index0.685710.5588215.0151-1.1317397.2903524111915

* 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