NCAA Division 1A Football

© Copyright 2004-2008, Paul Kislanko

Analysis	11 July 2008 2008 Schedule Topology A first glance at inter -regional, -conference, and -division matchup connectivity effects. 15 July 2008 "Intended" Schedule Strength An editorial and introduction to 2008 SOS based upon 2007 final rankings. 17 July 2008 Updated WRRV An improvement to the Weighted Retrodictive Ranking Violations report. 24 July 2008 Updated updated WRRV An even better version incorporating suggestions for improvements to my improvement. 31 July 2008 Scheduling Combinatorics Scheduling analysis instead of the usual cliches. Addendum - It's even harder than you think. 20 August 2008 Connectivity 2 A look at the games graph from the perspective of which teams' schedules provide the "glue" that connects the field. 18 September 2008 Parity? Kind of 17 October 2008 Scoring halfway through A look at the competitiveness landscape through weekend 7's games. 23 October 2008 Resume-based rankings An algorithm for generating a purely resume-based top 25 ranking. 6 November 2008 A better use of computers? The BCS would be better served to use more computers and combine them into one ranking a better way.
References	Standings Conference name in the header links to consolidated schedule for all conference teams. Team names link to the teams' schedules. Division 1 Schedule Includes links to team reference pages. FBS Consolidated Schedule by week FBS Conference races (head to head and records vs common conf ops) Inter-divisional results Teams' Opponents' Results (Resume report) (By Opponents Composite Computer Ranking) Alternative index based upon the Resume() meta-ranking. Pairwise matrix A D1 Hockey -like pairwise matrix comparing teams with non-losing records. Interconference Results I'm not a fan of arguments about which is the "best" conference, but since they're going to happen anyway there may as well be some data to back some of them up. Of course, there are many ways to examine an interconference "resume" including the same results-vs-opponents' ranks we use for teams. Normalized Scoring Stats Points scored and allowed adjusted for opponents' ability to prevent scores and score themselves. Peter Wolfe's schedule page Scores page 28 Aug 4 Sep 11 Sep 18 Sep 25 Sep 2 Oct 9 Oct 16 Oct 23 Oct 30 Oct 6 Nov 13 Nov 20 Nov 27 Nov 4 Dec 11 Dec 18 Dec 25 Dec 1 Jan Results in CSV format College Football Rankings comparison An invaluable resource compiled by Kenneth Massey. Ranking analysis Pre-season 1 Sep 7 Sep 13 Sep 20 Sep 27 Sep 4 Oct 11 Oct 18 Oct 25 Oct 1 Nov 8 Nov 15 Nov 22 Nov 29 Nov 6 Dec 8 Jan Weighted Ranking Violations: Pre-season Week 1 Week 2 Week 3 Week 4 Week 5 Rankings Week 6 Rankings Week 7 Rankings Week 8 Rankings Week 9 Rankings Week 10 Rankings Week 11 Rankings Week 12 Rankings Week 13 Rankings Week 14 Rankings Week 15 Rankings Week 19 Rankings David Wilson's Ranking List Categorizes the rankings by type and links to current versions. cfbstats.com Splits and situational statistics NCAA Official Stats College Football Data Warehouse Forget which year a game happened? Want all-time records? This is the place. 2008 Bowl Games Dates, locations, affiliations and payouts
Ratings	Iterative Strength Ratings Boyd Nation's Iterative Strength Rating Iterated Strength of Victory This is the ISR with a Margin Of Victory component. Win-Path Summaries These are not "ratings", per se, but measurements of the directed games graph for all D-1 teams. as a Second Order Winning Percentage Weighted by strength of path;     by path strength + Opp Composite Rank Each table links to directed games graph as seen from each node's (team's) perspective. For more details see A Second-Order Winning Percentage. Rankings Histories: Associated Press Poll USA Today Coaches' Poll Harris Interactive Poll Fans Collective Survey Poll Computer Composite Poll

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