||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. (
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
- 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.