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

* 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