Should You Foul Up Three? The End-Game Math Coaches Still Argue About
Leading by three late, fouling beats defending the shot — about a 90% win probability against 82.5%. The decision tree, and why coaches still won't do it.
College Basketball
March upsets, the women's game's measurable boom, and the at-large math that decides who's left out. Men's and women's hoops.
The men's and women's games given the same treatment: efficiency and tempo instead of narrative, and the bracket treated as an arithmetic problem. The pieces here cover what actually separates Final Four teams, how seed lines really perform against each other over four decades of tournaments, the at-large math that decides which bubble teams get left out, and the measurable boom in the women's game. Nothing here projects a bracket for you or recommends a pick. Where a claim depends on a rating system — adjusted efficiency, the four factors, quadrant records — the explainer for that system is one click away in Stat Explainers, and the code that builds it is in Tutorials.
The 2025 Final Four by the Numbers
Four real box scores from San Antonio, run through Dean Oliver's four factors. Duke had the weekend's best offensive game and went home; Florida won the title.
What Efficiency Says About the 2025 Champion
Houston outshot, out-rebounded, and out-protected Florida in the 2025 title game — and lost. The four factors show why the extra chances weren't enough.
Bracket Math: What Seed Differences Really Say About Upset Odds
What a seed gap implies for win probability, why upsets happen more than they feel like they should — with a bracket simulator to run yourself.
Conference Strength: How Leagues Are Rated and Why Bids Follow
Not all conferences are equal, and the committee knows it. How league strength is measured and why it drives at-large bids and seeding.
The One-and-Done Era: How Freshman Talent Changed College Basketball
A 2006 draft rule sent elite prospects to campus for one season. How one-and-dones reshaped roster building, the blue bloods, and the math of winning in March.
What a Final Four Team Looks Like: A Statistical Profile
Deep runs aren't random. The statistical fingerprint of Final Four teams — adjusted efficiency, balance, and experience — and where the heuristics break.
Experience and Continuity: Why Veteran Teams Win in March
Returning minutes are one of the better predictors of March success. Why continuity and experience matter — and where one-and-done talent still wins.
Bracketology, Explained: How the Committee Picks and Seeds the 68
The 68-team field: automatic vs. at-large bids, how the committee uses the NET and quadrants, the S-curve, and the bracketing rules that shape March.
The 3-Point Line in College Basketball: A Statistical History
From its 1986 debut to two distance moves, the college 3-point line reshaped how the game is played. A history of the line and the numbers that followed it.
The Women's Game's Statistical Boom: Scoring, Pace, and Audience by the Numbers
Scoring, pace, and three-point volume in women's college basketball, trended over recent seasons from public box scores.
What March Madness Upsets Have in Common: A Statistical Profile
Seed-by-seed upset rates from real tournament results, and the measurable traits that giant-killers tend to share.
How Mid-Majors Beat the Metrics: Scheduling and the At-Large Math
Why a great mid-major can miss the bracket: quadrant math, non-conference scheduling, and the metrics that gatekeep at-large bids.