What are Pythagorean wins?
Pythagorean expectation estimates the wins a team's point differential deserves: W = G × PF^exp / (PF^exp + PA^exp). Bill James invented it for baseball; football analysts use an exponent of 2.37 for the NFL. Because point differential predicts future wins better than won-loss record does, it is the foundation of every serious season projection.
How the calculator works
Enter points scored and allowed over any span. The tool returns expected wins and win percentage; add the actual win total and it quantifies luck — teams that win 11 games on 350-point differentials usually regress.
Common use cases
- Spotting overrated and underrated teams by week 8
- Fantasy trade decisions: buy the talented team at 6-4, sell the lucky one at 9-1
- Offseason over/under analysis
Formula & caveats
The 2.37 exponent fits historical NFL scoring. Blowout wins inflate records more than they inflate differentials — that asymmetry is exactly what the formula strips out.
Frequently Asked Questions
Why 2.37?
It is the exponent that best fits historical NFL win totals against point differential (pro Football-Reference style analysis).
What counts as 'lucky'?
More than ~1.5 wins above expectation is usually scheduling and close-game variance.
Does it work mid-season?
Yes — point differential stabilizes faster than record, which is why early-season Pythagorean reads are so useful.
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