{"uid":"cap_8Al-vCGpXKtv7SzL1vtut","slug":"sports-calculators-pythagorean-expectation-8678958a","name":"Sports Calculators – Pythagorean Expectation","description":"Pythagorean expected win percentage and wins from points or runs for and against, with sport-specific exponents.","url":"https://sports-calc.x402tookit.com/pythagorean-expectation?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["scored","allowed"],"properties":{"games":{"type":"integer","description":"Games played or season length, default by sport"},"sport":{"type":"string","description":"baseball (default), basketball, nfl or nhl"},"scored":{"type":"number","description":"Points or runs scored"},"allowed":{"type":"number","description":"Points or runs allowed"},"exponent":{"type":"number","description":"Override the exponent"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"asOf":{"type":["null","string"]},"games":{"type":["null","number"]},"sport":{"type":["null","string"]},"source":{"type":["null","string"]},"reasons":{"type":["array","null"],"items":{"type":"string"}},"summary":{"type":["null","string"]},"verdict":{"type":["null","string"]},"degraded":{"type":["boolean","null"]},"exponent":{"type":["null","number"]},"disclaimer":{"type":["null","string"]},"notChecked":{"type":["array","null"],"items":{"type":"string"}},"expectedWins":{"type":["null","number"]},"expectedLosses":{"type":["null","number"]},"expectedWinPct":{"type":["null","number"]},"runDifferential":{"type":["null","number"]},"runsPerGameScored":{"type":["null","number"]}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_kMAVVQJPzela5Cp8WBR04","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"What's the Pythagorean expected win percentage for a baseball team that's scored 520 runs and allowed 480 runs over a 162-game season?","exampleUseCases":[{"title":"Baseball team over/underperformance check","prompt":"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?"},{"title":"NBA expected record from scoring stats","prompt":"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?"},{"title":"NFL win expectation with custom exponent","prompt":"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?"}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:20:15.305Z","isFirstParty":false,"canonicalSlug":"sports-calculators-pythagorean-expectation-8678958a"}