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

* 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