NCAA Division 1A Football

Copyright 2004-2009, Paul Kislanko

15 July 2009The 2009 Schedule
My now-annual analysis of the FBS schedule topology and related topics.
17 July 2009(pre)Pre-Season SOS
An addendum to the 2009 interconference schedule analysis and a way-too-early look at schedule strengths from different perspectives.
19 July 2009Relative SOS
A correction and refinement to the notion of measuring team SOS by the team's rank's relationships to their opponent's ranks.
30 July 2009Schedule Topology Consequences
Schedule topology ramifications for playoff scenarios.
11 August 2009Fun & Games with subsets
A couple of different ways to measure the schedule's "connectedness."
13 August 2009Fun&Games with Sets and Subsets - some corrections
Includes some corrections and a more precise measure of games' contributions to schedule connectivity.
18 August 2009Serious Fun with Connectivity
Games graph connectivity over time - uses for the data.
24 August 2009More Connectivity Measurements
Identifies the games that form the "spine" of the schedule graph.
3 September 2009Revisiting Conference Ratings
Various ways to characterize conference strength based upon constituent teams' ranks and ratings.
9 October 2009Watching the Smith Set
An unambiguous definition of "good wins", or more definitely "bad losses."
After: Week 6 Week 7 Week 8 Week 9 Week 10 Week 12 Week 13 Week 14
For all divisions: 12 Nov
14 October 2009Scoring through week 6
Scoring metrics through games of Oct 13
22 October 2009Pairwise Matrix for the FBS
Comparing resumes head-to-head
8 December 2009Scoring summaries through 5 Dec
(With links to teams' schedule and results data)
ALL college football games by date
This is an indexed consolidation of Peter Wolfe's Schedule and Scores pages.
(the + means including non-NCAA, non-NAIA teams)
Inter-Divisional Results
This report shows teams' performance relative their opponents' opponents performance against their opponents.
by opponents' rank
Normalized scoring stats
Scoring averages adjusted for opponents' strength in scoring and preventing scores
Kenneth Massey's College Football Ratings Comparison page.
Analysis:Pre-season 7 Sep 12 Sep 19 Sep 26 Sep 3 Oct 10 Oct 17 Oct 24 Oct 31 Oct 7 Nov 14 Nov 21 Nov 28 Nov 5 Dec 12 Dec Final
WRRV: Sep 12
Sep 19
Sep 26
Oct 3
Oct 10
Oct 17
Oct 24
Oct 31
Nov 7
Nov 14
Nov 21
Nov 28
Dec 5
Dec 12
Jan 7
David Wilson's Rankings List.
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.
NCAA Stats home
The horse's mouth, so to speak.
Splits and situational stats - inside box scores
Iterative Strength Ratings
Boyd Nation's Iterative Strength Rating
Conference summaries
Iterated Strength of Victory
This is the ISR with a Margin Of Victory component.
Conference summaries

Directed Games Graph
These are not "ratings" per se, but two different functions of win chains (A beat B beat C...) based upon the shortest such chains between two teams.
Second order winning percentage (based upon number of Bs, Cs, etc. for each A)
Weighted by number of paths and length of path

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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