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Evidence row 2201266

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://sports-calc.x402tookit.com/pythagorean-expectation
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
6e23e77419c3c38469ceba1696d5a800b6d59ece71a448498f1e0338c48d9973
Leaf
0xd5e06ac4ac0d75aad0ea80dbd5d16a5618a24ba341cd45e4d8fb7dd171815da9

What was observed

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      "x402",
      "https://sports-calc.x402tookit.com/pythagorean-expectation"
    ]
  ],
  "name": "Sports Calculators",
  "owner_address": "0xb531320805c5bed1d46aeadcf4f008fdf172dbda",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
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        "network": "eip155:8453",
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        "scheme": "exact"
      },
      {
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        "extra": {
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          "transactionVersions": [
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        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "DUPiupXtuox38dcGoXUKer5mAydCzmaHjrbQ66qeEm8s",
        "scheme": "exact"
      },
      {
        "amount": "20000",
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        "maxTimeoutSeconds": 300,
        "network": "eip155:137",
        "payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:42161",
        "payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
        "scheme": "exact"
      }
    ],
    "description": "Pythagorean expected win percentage and wins from points or runs for and against, with sport-specific exponents.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "allowed": 700,
              "games": 162,
              "scored": 800,
              "sport": "baseball"
            },
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          },
          "output": {
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              "asOf": "2026-10-11T14:34:07.373Z",
              "degraded": false,
              "disclaimer": "Screening signal computed from the named public source. Not financial, legal or investment advice; provided as is. Verify at the source before acting.",
              "expectedLosses": 71.152,
              "expectedWinPct": 0.560788,
              "expectedWins": 90.848,
              "exponent": 1.83,
              "games": 162,
              "notChecked": [
                "injuries, schedule strength, luck in close games and late-season changes",
                "that the exponent suits the league and era: it is a fitted constant, not a law",
                "…1 more"
              ],
              "reasons": [
                "Expected win % = RS^x / (RS^x + RA^x), the Pythagorean expectation of Bill James with a fitted exponent.",
                "Teams far from their Pythagorean record tend to drift back toward it, which is why it is used as a luck check."
              ],
              "runDifferential": 100,
              "runsPerGameScored": 4.9383,
              "source": "computed locally",
              "sport": "baseball",
              "summary": "800 for, 700 against (baseball, exponent 1.83): expected win % 56.1, about 90.8 wins and 71.2 losses in 162 games.",
              "verdict": "COMPUTED"
            },
            "type": "json"
          }
        },
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                      "description": "Points or runs allowed",
                      "type": "number"
                    },
                    "exponent": {
                      "description": "Override the exponent",
                      "type": "number"
                    },
                    "games": {
                      "description": "Games played or season length, default by sport",
                      "type": "integer"
                    },
                    "scored": {
                      "description": "Points or runs scored",
                      "type": "number"
                    },
                    "sport": {
                      "description": "baseball (default), basketball, nfl or nhl",
                      "type": "string"
                    }
                  },
                  "required": [
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                    "allowed"
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                  "type": "object"
                },
                "type": {
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                        "null"
                      ]
                    },
                    "disclaimer": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "expectedLosses": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "expectedWinPct": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "expectedWins": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "exponent": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "games": {
                      "type": [
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                        "number"
                      ]
                    },
                    "notChecked": {
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                        "type": "string"
                      },
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                      ]
                    },
                    "reasons": {
                      "items": {
                        "type": "string"
                      },
                      "type": [
                        "array",
                        "null"
                      ]
                    },
                    "runDifferential": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "runsPerGameScored": {
                      "type": [
                        "null",
                        "number"
                      ]
                    },
                    "source": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "sport": {
                      "type": [
                        "null",
                        "string"
                      ]
                    },
                    "summary": {
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                    },
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                    }
                  },
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                },
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                  "type": "string"
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              },
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    },
    "lastUpdated": "2026-11-02T04:06:59.908Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-11-02T04:06:59.693Z"
    },
    "resource": "https://sports-calc.x402tookit.com/pythagorean-expectation",
    "serviceName": "Sports Calculators",
    "tags": [
      "pythagorean",
      "win-percentage",
      "baseball",
      "basketball",
      "nfl"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Pythagorean expected win percentage and wins from points or runs for and against, with sport-specific exponents."
}

What the leaf hashes

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Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (444186 rows).

  1. 0xd5e08e2ebc698dab1dc9702db343f7a8040d52466896691a9abfaa6be8e69cff
  2. 0x05f7772e842ef905f1a5bfde1ff66e5fe469992cf16ff781f817c3ed039a4b29
  3. 0xbde02a8660f2328c30a17493089544bbf37b473ea5a471aeac94850e93af09c2
  4. 0x139aebc244055ba26a5356c4433b413eabeca870d09929364e5670ed7f14cb95
  5. 0xab1d2ebc1ee88f3f9f10b2c11a46100dacffd14d30ec7a4851bf604e11f9a2b5
  6. 0x6aac3c7973065d6edf4623f1f2bd2a161959e656fe6d1f3c41c63fc1bc59e9e6
  7. 0x8ab1cfa7f4e2946c4066c5791dd9ab1fb3945d76c71644c3a0bc5ed34146ef67
  8. 0x2965d731b67d59a9e56e0f8494b0aadb90a037824233698d9f1067ab0d4f9ed2
  9. 0x95fa8dd15ceb7ec08ef23c8718f3debe2bd0f8614a92a2529fd10265086eeadb
  10. 0xc6dab1268e002fcdae4ebc2590f6e6bf90d217e83d9f44cca73ecbf5705cad85
  11. 0x36d2017338871ac6d86bda5fd407cc327391d6094cabb24575c2290562e50746
  12. 0x381b6cfdeaf8ea03cb439693a260cbb0d6ca9377a1c036675bd1e416d9d82eac
  13. 0x6a9bee5282acc64846540deef79ef327521ab20b00328c4b297bc96a5b4036c5
  14. 0xc94ac971f2e2765086823b6227f70a7d3fdcf267884d07ae0a3f85c1caf941d2
  15. 0xa9134f4ed9cec34e13ba243b6a51db73753dbbb3b48c63bd82b22694813d2b02
  16. 0x7ddefa7d79e7640c3fed21ee4472689415182c41a0258ab04a81d60495f4c40a
  17. 0xdb8bd933619a267f9790faac9839143d202be46af284371cc369cdf683f897ba
  18. 0x98cbbf2c68ab4c0b4db782aeb88bea1f30b02178cf8b5d3d24a931d19492ea6d
  19. 0x252cce55f1a3d5391c16f82d7f62494429a5f69b03486d4cfcfb7b2c96d6c884
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON