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Sports Calculators – Pythagorean Expectation
x402
Sports Calculators – Pythagorean Expectation is a paid API for AI agents from sports-calc.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-21).
Calculates Pythagorean expected win percentage and projected wins/losses from points or runs scored and allowed, using sport-specific exponents for baseball, basketball, NFL, or NHL.
Price / call$0.02
Success—
StatusUnknown
How this service works
Pythagorean expected win percentage and wins from points or runs for and against, with sport-specific exponents.
Output
Returns the expected win percentage, expected wins, expected losses, run/point differential, runs or points per game scored, the exponent applied, sport, a summary narrative, and optional reasons or disclaimers. All numeric fields may be null if inputs are insufficient.
Example use cases
Baseball team over/underperformance check
“My team has scored 610 runs and allowed 570 runs over 140 games this baseball season — what's their Pythagorean expected win percentage and how many wins should they have?”
NBA expected record from scoring stats
“For an NBA basketball team that's scored 9800 points and given up 9400 points over 82 games, can you calculate their Pythagorean expected wins and losses?”
NFL win expectation with custom exponent
“Using an exponent of 2.37, what's the Pythagorean expected win percentage for an NFL team that's scored 380 points and allowed 290 points this season?”
Technical details
Endpoint
GEThttps://sports-calc.x402tookit.com/pythagorean-expectation?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a statistically grounded estimate of how many wins a team deserves based on scoring output, especially when checking if a team is over- or underperforming their actual record. It supports baseball, basketball, NFL, and NHL with sport-tuned exponents, and allows custom exponent overrides for advanced analysis. Prefer this over manual calculation or generic stats APIs when sport-specific Pythagorean modeling is required.
Side effects
- Missing required 'scored' or 'allowed' query parameters returns an error
- Non-numeric values for scored/allowed cause validation failure
- Unsupported sport string falls back to baseball default or returns an error
- Exponent override of zero or negative value may produce invalid results
- Payment failure or x402 authentication error prevents access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
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