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

2016 Season Totals

Through 2017-01-10
Rank System Pct. Correct Against Spread Absolute Error Bias Mean Square Error games suw sul atsw atsl
1Liam Bressler0.733770.5155212.82960.2884272.786616452164299281
2Dokter Entropy0.729300.5209213.1592-0.2165286.456761555206386355
3Catherwood Ratings0.728950.5146413.55920.8066300.714760554206369348
4CPA Rankings0.727470.4978113.71580.1451306.041466339127227229
5Computer Adjusted Line0.725590.5302112.91690.2137276.405758550208272241
6Atomic Football0.725360.5221113.2063-0.4074288.518761552209366335
7Sagarin Recent0.725360.5033613.3770-0.2938290.498761552209374369
8Line (updated)0.724270.5384612.89840.2612276.082758549209252216
9Sagarin Golden Mean0.724050.4919113.3859-0.2845290.456761551210365377
10The Sports Cruncher0.722930.5365512.9710-0.3927286.245711514197367317
11System Median0.722730.5095613.1583-0.0932285.390761550211373359
12Pigskin Index0.722730.5063113.2366-0.0746288.539761550211361352
13ESPN FPI0.721420.5336913.18880.3284287.999761549212396346
14PI-Rate Bias0.721420.5304513.22490.2936285.484761549212392347
15Stat Fox0.721420.5085013.42571.0976297.361761549212359347
16Born Power Index0.721420.5067413.68790.0522304.852761549212376366
17Ashby AccuRatings0.721050.5236113.1961-0.0327288.890760548212366333
18Line (Midweek)0.7203212.96700.3311278.934758546212
19Line (opening)0.720320.5088013.01390.1563280.413758546212318307
20System Average0.720110.5101213.1610-0.0907285.154761548213378363
21Sagarin Ratings0.720110.5067413.3559-0.2948289.761761548213376366
22Pi-Rate Ratings0.718790.5360513.28550.4011288.556761547214394341
23Sagarin Points0.718790.5000013.3936-0.3239292.239761547214371371
24Donchess Inference0.718790.5094913.3520-0.2189294.049761547214376362
25Moore Power Ratings0.718790.5302813.2512-0.4200289.777761547214394349
26Pi-Ratings Mean0.717480.4823413.4793-0.0233292.959761546215355381
27Dunkel Index0.717480.4804814.19530.2049323.403761546215357386
28Brent Craig0.715420.5108113.5434-0.1353303.346759543216378362
29TeamRankings.com0.714850.5047413.34360.4093294.437761544217373366
30CPA Retro0.714590.4846514.3012-0.0577322.941466333133221235
31Edward Kambour0.713530.4791413.7687-0.2216304.072761543218356387
32Daniel Curry Index0.713530.5020213.81610.1257308.657761543218373370
33ThePowerRank.com0.713160.5203313.6710-0.4521309.149760542218384354
34Billingsley+0.712220.4845213.5654-0.1815300.540761542219360383
35DP Dwiggins0.712020.4853114.1268-0.4491320.343757539218347368
36ComPughter Ratings0.710700.4878413.9242-0.2994309.706757538219361379
37Keeper0.710140.4932614.23890.9879330.342759539220366376
38Lee Burdorf0.710140.5318013.5625-0.1898305.734759539220393346
39Laz Index0.708280.5134814.0319-0.6004315.832761539222381361
40Massey Ratings0.708280.5357613.3559-0.5595296.576761539222397344
41Beck Elo0.705650.4865213.8170-0.1846307.307761537224361381
42Marsee0.705650.4923314.30751.8817334.119761537224353364
43ARGH Power Ratings0.705650.5027513.8295-0.7382311.193761537224366362
44NutShell Sports0.704340.5101213.9582-0.3327320.074761536225378363
45Dave Congrove0.703020.5377413.5715-0.3527303.309761535226399343
46Payne Power Ratings0.701710.4919114.0644-0.2422320.333761534227365377
47FEI Projections0.697890.4860714.75460.2929348.691758529229349369
48Massey Consensus0.697770.5100913.76260.2115306.923761531230379364
49DirectorOfInformation0.697770.4670313.82190.2470306.799761531230347396
50Billingsley0.697770.5067413.9907-0.7739323.791761531230376366
51Covers.com0.692510.4986514.3916-0.9432338.504761527234370372
52Howell0.691200.4958214.1826-0.2351330.621761526235356362
53Linear Regression0.688280.4731514.6661-0.3842343.397401276125185206
54Laffaye RWP0.686590.5109014.3166-1.4644339.568753517236375359
55PerformanZ Ratings0.685940.4824814.7272-0.6452348.575761522239358384
56Super List0.685940.5020215.35690.2208376.486761522239372369
57Cleanup Hitter0.682890.4993014.3658-0.1709343.770760519241359360
58Stephen Kerns0.680680.5020414.55560.3596344.170761518243369366
59Loudsound.org0.675130.4887015.4572-4.5561378.988748505243346362
60Bihl System0.668890.4806414.16430.9921319.316450301149211228
61PointShare0.666670.4906215.3924-0.9441370.619381254127183190
62Logistic Regression0.660850.5063916.4432-3.4017416.977401265136198193
63Least Squares w/ HFA0.653370.5256417.0239-0.6736476.472401262139205185
64Sportrends0.651820.4935914.6974-0.1508343.085494322172231237

* 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