NCAA Division 1A Football

Copyright 2004-2015, Paul Kislanko

Analysis Breaks down the computer ranknigs listed on Kenneth Massey's College Football Ratings Comparison page as ranked ballots using a variety of vote-counting methods.
Top 25 Borda Majority Consensus Pairwise Matrix Correlations Conference Ranks Weighted Violations
Playoff Approval Playoff Watch List Opponents' Rank Distribution
David Wilson's Rankings List describes the rating systems in terms of their attributes.
The 2015 FBS D1A Schedule
July 12, 2015: First, the Interconference Schedules
Connecting the Blobs
July 24, 2015: Conference Connectors
Scheduled Round-Robins
July 26, 2015: Connecting Groups
Ratings Scope
August 29, 2015: Changes for the 2015 season
A better analytical tool
August 30, 2015: Team results weighted by opponents' strength
SOS Insight
September 6, 2015: Characterizing schedules by opponents' ranks
Teams to Watch
November 6, 2015: Who's got the worst bad loss?
Index to team and conference schedules
Consolidated Schedules and Results
This is a consolidated and indexed version of Dr. Peter Wolfe's schedules and scores pages.
D1 Football Championship Subdivision
Division 2
Division 3


Interdivisional Results with scoring analysis

Division 1 schedule by week
Interconference results for FBS Conferences
Division and Conference Affiliations
For all teams, based upon Dr. Wolfe's NCAA and NAIA Divisional and Conference Affiliations page.
College Football Data Warehouse
Where to go when you get old enough that your memory fails or you're too young to remember what happened before you were born.
Well, it was before it adopted advertising practices that even disrespectable websites gave up on long ago. You have to be desperate to use it now.
Splits and situational stats - inside box scores
Boyd Nation's Iterative Strength Rating
Iterated Strength of Victory (ISR with SOV-based adjustments for each game)
Normalized Scoring Stats
Scoring data adjusted by opponents' strength
Directed Games Graph Metrics
Weighted Win Paths
See the WWP definition
The below are not "ratings" per se, but count and make visible all of the shortest "A beat B beat C beat ..." (A⇒) chains in the current games graph.
Second Order Winning Percentage
% of teams that the given team has a shorter or stronger A⇒... chain to other teams than the other way around.
by the length and strength of the A⇒ paths to other teams.
Often people who are not familiar with the nature and limitations of statistical methods tend to expect too much of the rating system. Ratings provide merely a comparison of performances, no more and no less. The measurement of the performance of an individual is always made relative to the performance of his competitors and both the performance of the player and of his opponents are subject to much the same random fluctuations. The measurement of the rating of an individual might well be compared with the measurement of the position of a cork bobbing up and down on the surface of agitated water with a yard stick tied to a rope and which is swaying in the wind.
Arpad Elo in Chess Life, 1962
In theory, there is no difference between theory and practice; In practice, there is. — Chuck Reid

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