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Computer ranking system for NCAAF FBS teams. Only final score and home field is considered. Teams are ranked using a score based on comparative margin of victory.

Python 0.01% HTML 100.00%
cfb fbs ncaaf ranking football

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cfb-rankings's Issues

"Predictions" based solely on relative ranks; should incorporate home field

Difficult task because even if I determine a reasonable home field advantage score, I have to apply it to something. While the rankings are obviously based on a numeric metric, I'm doubtful that applying the home field advantage to that metric would be "correct". The ranking metric, while it does account for point differential, also account for wins/losses.

Parsing games from ESPN team page issues

  1. In neutral site games, both teams appear as the home team on their respective team page
  2. If two teams play twice to the same result, it will only be treated as one game. Should apply a game identifier like date or ESPN game id.

All FCS opponents viewed equally

Should incorporate some sort of methodology to treat FCS teams different (e.g. NDSU is different than Idaho State...)

  • Include FCS teams in ranking
  • Incorporate previous season ratings to weigh FCS teams
  • Incorporate more recent ratings (current FCS top 25) to weight FCS teams

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