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2015 Bracket Cheat Sheet
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Who needs BracketScience?
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By taking the simulated # of wins (via kenpom.com's numbers) and average wins for a given seed, we can rate who will have the best perfo...
Teams in The East Likely to Give Kentucky Trouble
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Quick Math on the bracket
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Here is my preliminary results of my bracket simulation, based on stats from Kenpom.com http://dl.dropbox.com/u/241759/MidwestWest.html (not...
Game-Changers for NCAA Tourney Teams
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Here we'll be taking a look at what is likely to alter a team's predicted final score (based on Ken Pomeroy's rankings - http://...
UPSET WATCH
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NCAA tournament upset watch: Murray State and Pittsburgh are the two teams who will likely be mis-seeded the worst: http://dl.dropbox.com/u/...
Point-margin-based Chance of win.
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While I think using the four factors can give us a much better picture of point-margin (and therefore, chance of win), let's just look a...
The rules for Step One.
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Let's try this jam out on UNC. The best way to predict a team's four factors in a future game is to create a linear regression invol...
Step Two of the Two-Step Process
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The best way to predict point margin is to first predict a team's four factors, then convert the four factors into point margin via line...
3 comments:
UNC's Injuries
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Here's how UNC's injuries have affected their play, in terms of points. The number represents how Carolina does versus their average...
The One-Seeds
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I told my friend Stephen that Kentucky will not be a 1-seed come tournament time. That was a pretty dumb thing to say I picked the top few t...
Time Left on Shot Clock
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By doing some simple multiplication and division of stats from kenpom.com , we can estimate the mean/median/expected number of seconds left ...
Adjusted Player Offensive Ratings
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I adjusted Ken Pomeroy's 100 most efficient college players (with a minimum of 40% minutes played) for opponents' quality of defense...
Texas v. UNC
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Ken Pomeroy's Stats predict Carolina to lose to Texas by 20 points. Here's my basic info you need to know on these 2 teams: 1) Texa...
Nathan's Statistical Rankings
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Here is a link to my statistical rating of college basketball teams, according to my best possible model given the stats I currently have (w...
UNC's terrible 2nd halves
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Carolina is beating their opponents by .36 points per possession in the first half of their games. But in the second half, they average -.04...
1 comment:
Oliver-Adjusted PlusMinus
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Rather than using the standard model for plus-minus, I am going to start using one of my own, which I will test on data I get on the homesch...
!
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UNC vs FIU based on simple stats predicted by Accuscore.com efficiencies: FIU: 77 UNC: 113
Theoretically Correct RPI, Part I
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The Rating Percentage Index, or 'RPI' is College Basketball's tamer BCS computer system (i.e. - it's unfair). By weighting t...
Fixing the current models...
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Ken Pomeroy and the LRMC (logistic regression-markov chain) models for predicting NCAA winners are both incredibly accurate, but they both h...
Win%=????
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I finally bought Dean Oliver's book, "Basketball on Paper" -- and I think I am onto a breakthrough! Dean Oliver actually uses ...
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