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

2010 Retrodiction Results

Through
Rank System Pct. Correct Against Spread Absolute Error Bias Mean Square Error games suw sul atsw atsl
1Warren Claassen0.966670.000008.91211.1987132.127180174600
2Sagarin Elo0.950000.000009.65360.8747163.660180171900
3Beck Elo0.938890.000007.2385-0.5230104.4281801691100
4Massey Concensus Rank0.938890.000008.34621.0293126.4701801691100
5Sagarin0.922220.000008.43600.3002127.3371801661400
6SuperList0.916670.0000010.33232.3872174.2641801651500
7Payne Power Ratings0.911110.000006.3483-0.013370.9101801641600
8Nutshell Girl0.894440.0000011.4693-1.0651233.3161801611900
9Schmidt Comp. Ratings0.892660.000008.4863-0.8907134.9101771581900
10System Average0.888890.000007.99510.1266114.6041801602000
11system Median0.872220.000007.91700.0246113.8151801572300
12Covers.com0.866670.000009.32580.9197162.0891801562400
13Pigskin Index0.861110.000008.49440.7167126.2031801552500
14DP Dwiggins0.861110.000008.4653-3.1108118.1541801552500
15NutShell Combo0.855560.000009.89831.0034177.0021801542600
16Edward Kambour0.850000.000007.75560.2651100.7801801532700
17Sagarin Predictive0.850000.000008.4108-0.1642113.6241801532700
18PerformanZ Ratings0.850000.000009.0991-0.4931134.2351801532700
19Laz Index0.844440.000008.92280.0041136.2391801522800
20Born Power Index0.838890.000008.10171.0661108.5721801512900
21NationalSportsRankings0.816670.000008.73160.1955135.6961801473300
22Sonny Moore0.816670.000008.89310.7704141.4271801473300
23Ashby AccuRatings0.811110.000009.93330.7556170.9411801463400
24Stat Fox0.794440.000009.57220.9611152.7561801433700
25NutShell Sports0.777780.0000012.15612.8494260.3801801404000
26Stortrends0.758430.0000010.6067-0.9663191.5761781354300

* 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