Winning Percentage Calculator
Winning percentage from a record with ties counted your league’s way, the Pythagorean expectation from points, and the wins needed to reach a target.
The winning percentage (.618), games over or under .500, the Pythagorean expected winning percentage and wins from points scored and allowed, and how many of the games left must be won to finish at a target.
Example: 10–6–1 with a tie as half a win is .618; an 80–70 team with 12 games left needs 8 more wins to finish at 54 %.
Wins over
games.
How ties change the percentage, what the Pythagorean expectation predicts from points, and how the wins-needed figure is worked out.
Ties are a rule
Leagues treat a tie differently: the NFL counts it as half a win and half a loss; some leagues leave ties out of the games altogether; others count them as losses. The page asks which, and the percentage is wins (plus half the ties, under the first rule) over the games that count.
Pythagorean expectation
Bill James found that runs scored and allowed predict a baseball team’s record: RS^x ÷ (RS^x + RA^x) with x = 2. Baseball-Reference uses 1.83; other sports fit other exponents. The gap between actual and expected wins is often read as luck in close games.
Wins needed
For a target percentage t over the games already counted plus the games left, the wins needed are ⌈t × total − wins − tie credit⌉, assuming each remaining game is a win or a loss. If that is more than the games left, the target is out of reach.
What the numbers do not settle
Tiebreakers, division records and strength of schedule decide standings too. Inputs stay in your browser; the same anonymous usage counts as the rest of the site apply.
SOURCES
- Bill James, Baseball Abstract (1980) — the Pythagorean expectation
Last reviewed 24 September 2026. How results are checked: How we verify.