{"abstract":"The 12 market shows the same price as 1X.","category":"Betting odds conversion","checks":7,"contract":"Derive secondary markets from 1X2 decimal prices [home, draw, away], keeping the original margin. Draw no bet side price = side * (1 - 1/draw). Double chance for two outcomes p, q = p * q / (p + q): 1X from home and draw, 12 from home and away, X2 from draw and away. Return a dict with keys dnb_home, dnb_away, 1X, 12, X2, values rounded half up to two decimals.","contract_signature":"prices","evaluation_group":"w2-odds-conversion-derived-double-chance-dnb","failed_approach":"Combining draw with away duplicates X2.","family":"w2-odds-conversion-derived-double-chance-dnb-market-key-mapping","id":"FA-84786","implementations":{"attempt":{"sha256":"901c68a415982058659f6290364fd5434e8076926c0d22e5e566fb249a92349a","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(prices):\n    h, x, a = (Fraction(p) for p in prices)\n    def dc(p, q):\n        return p * q / (p + q)\n    def fmt(v):\n        c = math.floor(v * 100 + Fraction(1, 2))\n        return '%d.%02d' % (c // 100, c % 100)\n    return {'dnb_home': fmt(h * (1 - 1 / x)), 'dnb_away': fmt(a * (1 - 1 / x)),\n            '1X': fmt(dc(h, x)), '12': fmt(dc(x, a)), 'X2': fmt(dc(x, a))}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ndef run(args):\n    try:\n        return solve(*args)\n    except Exception as exc:\n        return 'raised ' + type(exc).__name__\ncases = [[('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.71', '4.33', '2.05'],),\n   {'12': '1.17', '1X': '1.67', 'X2': '1.39', 'dnb_away': '1.58', 'dnb_home': '2.08'}),\n  ('variant scenario 1',\n   (['1.84', '4.13', '4.07'],),\n   {'12': '1.27', '1X': '1.27', 'X2': '2.05', 'dnb_away': '3.08', 'dnb_home': '1.39'}),\n  ('variant scenario 2',\n   (['3.18', '4.29', '2.04'],),\n   {'12': '1.24', '1X': '1.83', 'X2': '1.38', 'dnb_away': '1.56', 'dnb_home': '2.44'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.09', '4.48', '3.10'],),\n   {'12': '1.25', '1X': '1.43', 'X2': '1.83', 'dnb_away': '2.41', 'dnb_home': '1.62'}),\n  ('variant scenario 1',\n   (['1.95', '4.61', '3.00'],),\n   {'12': '1.18', '1X': '1.37', 'X2': '1.82', 'dnb_away': '2.35', 'dnb_home': '1.53'}),\n  ('variant scenario 2',\n   (['3.40', '2.67', '2.64'],),\n   {'12': '1.49', '1X': '1.50', 'X2': '1.33', 'dnb_away': '1.65', 'dnb_home': '2.13'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.00', '3.38', '4.25'],),\n   {'12': '1.36', '1X': '1.26', 'X2': '1.88', 'dnb_away': '2.99', 'dnb_home': '1.41'}),\n  ('variant scenario 1',\n   (['2.04', '4.93', '2.47'],),\n   {'12': '1.12', '1X': '1.44', 'X2': '1.65', 'dnb_away': '1.97', 'dnb_home': '1.63'}),\n  ('variant scenario 2',\n   (['2.76', '2.67', '3.17'],),\n   {'12': '1.48', '1X': '1.36', 'X2': '1.45', 'dnb_away': '1.98', 'dnb_home': '1.73'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.19', '2.80', '4.83'],),\n   {'12': '1.51', '1X': '1.23', 'X2': '1.77', 'dnb_away': '3.11', 'dnb_home': '1.41'}),\n  ('variant scenario 1',\n   (['3.94', '2.99', '2.04'],),\n   {'12': '1.34', '1X': '1.70', 'X2': '1.21', 'dnb_away': '1.36', 'dnb_home': '2.62'}),\n  ('variant scenario 2',\n   (['1.85', '4.29', '3.28'],),\n   {'12': '1.18', '1X': '1.29', 'X2': '1.86', 'dnb_away': '2.52', 'dnb_home': '1.42'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['1.72', '3.75', '4.18'],),\n   {'12': '1.22', '1X': '1.18', 'X2': '1.98', 'dnb_away': '3.07', 'dnb_home': '1.26'}),\n  ('variant scenario 1',\n   (['2.92', '4.36', '2.23'],),\n   {'12': '1.26', '1X': '1.75', 'X2': '1.48', 'dnb_away': '1.72', 'dnb_home': '2.25'}),\n  ('variant scenario 2',\n   (['2.83', '3.53', '2.20'],),\n   {'12': '1.24', '1X': '1.57', 'X2': '1.36', 'dnb_away': '1.58', 'dnb_home': '2.03'})]]\nfor label, args, expected in cases[N - 1]:\n    check(label, run(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"e054ea6235916bb635c9552e718a370644460d24309299a50213809d2c7b73a0","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(prices):\n    h, x, a = (Fraction(p) for p in prices)\n    def dc(p, q):\n        return p * q / (p + q)\n    def fmt(v):\n        c = math.floor(v * 100 + Fraction(1, 2))\n        return '%d.%02d' % (c // 100, c % 100)\n    return {'dnb_home': fmt(h * (1 - 1 / x)), 'dnb_away': fmt(a * (1 - 1 / x)),\n            '1X': fmt(dc(h, x)), '12': fmt(dc(h, x)), 'X2': fmt(dc(x, a))}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ndef run(args):\n    try:\n        return solve(*args)\n    except Exception as exc:\n        return 'raised ' + type(exc).__name__\ncases = [[('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.71', '4.33', '2.05'],),\n   {'12': '1.17', '1X': '1.67', 'X2': '1.39', 'dnb_away': '1.58', 'dnb_home': '2.08'}),\n  ('variant scenario 1',\n   (['1.84', '4.13', '4.07'],),\n   {'12': '1.27', '1X': '1.27', 'X2': '2.05', 'dnb_away': '3.08', 'dnb_home': '1.39'}),\n  ('variant scenario 2',\n   (['3.18', '4.29', '2.04'],),\n   {'12': '1.24', '1X': '1.83', 'X2': '1.38', 'dnb_away': '1.56', 'dnb_home': '2.44'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.09', '4.48', '3.10'],),\n   {'12': '1.25', '1X': '1.43', 'X2': '1.83', 'dnb_away': '2.41', 'dnb_home': '1.62'}),\n  ('variant scenario 1',\n   (['1.95', '4.61', '3.00'],),\n   {'12': '1.18', '1X': '1.37', 'X2': '1.82', 'dnb_away': '2.35', 'dnb_home': '1.53'}),\n  ('variant scenario 2',\n   (['3.40', '2.67', '2.64'],),\n   {'12': '1.49', '1X': '1.50', 'X2': '1.33', 'dnb_away': '1.65', 'dnb_home': '2.13'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.00', '3.38', '4.25'],),\n   {'12': '1.36', '1X': '1.26', 'X2': '1.88', 'dnb_away': '2.99', 'dnb_home': '1.41'}),\n  ('variant scenario 1',\n   (['2.04', '4.93', '2.47'],),\n   {'12': '1.12', '1X': '1.44', 'X2': '1.65', 'dnb_away': '1.97', 'dnb_home': '1.63'}),\n  ('variant scenario 2',\n   (['2.76', '2.67', '3.17'],),\n   {'12': '1.48', '1X': '1.36', 'X2': '1.45', 'dnb_away': '1.98', 'dnb_home': '1.73'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['2.19', '2.80', '4.83'],),\n   {'12': '1.51', '1X': '1.23', 'X2': '1.77', 'dnb_away': '3.11', 'dnb_home': '1.41'}),\n  ('variant scenario 1',\n   (['3.94', '2.99', '2.04'],),\n   {'12': '1.34', '1X': '1.70', 'X2': '1.21', 'dnb_away': '1.36', 'dnb_home': '2.62'}),\n  ('variant scenario 2',\n   (['1.85', '4.29', '3.28'],),\n   {'12': '1.18', '1X': '1.29', 'X2': '1.86', 'dnb_away': '2.52', 'dnb_home': '1.42'})],\n [('control balanced match',\n   (['2.50', '3.20', '3.00'],),\n   {'12': '1.36', '1X': '1.40', 'X2': '1.55', 'dnb_away': '2.06', 'dnb_home': '1.72'}),\n  ('control strong favourite',\n   (['1.50', '4.00', '6.00'],),\n   {'12': '1.20', '1X': '1.09', 'X2': '2.40', 'dnb_away': '4.50', 'dnb_home': '1.13'}),\n  ('boundary symmetric prices',\n   (['3.00', '3.00', '3.00'],),\n   {'12': '1.50', '1X': '1.50', 'X2': '1.50', 'dnb_away': '2.00', 'dnb_home': '2.00'}),\n  ('control home favourite',\n   (['2.00', '3.50', '4.00'],),\n   {'12': '1.33', '1X': '1.27', 'X2': '1.87', 'dnb_away': '2.86', 'dnb_home': '1.43'}),\n  ('regression: market key mapping',\n   (['1.72', '3.75', '4.18'],),\n   {'12': '1.22', '1X': '1.18', 'X2': '1.98', 'dnb_away': '3.07', 'dnb_home': '1.26'}),\n  ('variant scenario 1',\n   (['2.92', '4.36', '2.23'],),\n   {'12': '1.26', '1X': '1.75', 'X2': '1.48', 'dnb_away': '1.72', 'dnb_home': '2.25'}),\n  ('variant scenario 2',\n   (['2.83', '3.53', '2.20'],),\n   {'12': '1.24', '1X': '1.57', 'X2': '1.36', 'dnb_away': '1.58', 'dnb_home': '2.03'})]]\nfor label, args, expected in cases[N - 1]:\n    check(label, run(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"Stipulated, bounded toy contract stated in the contract field; not a claim of conformance with any operator, exchange or regulator rule set. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-odds-conversion-derived-double-chance-dnb-market-key-mapping","generated_at":"2026-09-29T14:50:34.364726+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Sportsbooks price derived markets from the main 1X2 line.","root_cause":"The 12 entry combines home with draw.","sha256":"f20a392c6da5b523a8c3df84f4a1b4535c9e52de131565b37c8b3f4b1932a554","title":"Home-or-away double chance built from the draw price · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":39.569,"exit_code":1,"observations":[{"actual":{"12":"1.55","1X":"1.40","X2":"1.55","dnb_away":"2.06","dnb_home":"1.72"},"check":"control balanced match","expected":{"12":"1.36","1X":"1.40","X2":"1.55","dnb_away":"2.06","dnb_home":"1.72"},"passed":false},{"actual":{"12":"2.40","1X":"1.09","X2":"2.40","dnb_away":"4.50","dnb_home":"1.13"},"check":"control strong favourite","expected":{"12":"1.20","1X":"1.09","X2":"2.40","dnb_away":"4.50","dnb_home":"1.13"},"passed":false},{"actual":{"12":"1.50","1X":"1.50","X2":"1.50","dnb_away":"2.00","dnb_home":"2.00"},"check":"boundary symmetric prices","expected":{"12":"1.50","1X":"1.50","X2":"1.50","dnb_away":"2.00","dnb_home":"2.00"},"passed":true},{"actual":{"12":"1.87","1X":"1.27","X2":"1.87","dnb_away":"2.86","dnb_home":"1.43"},"check":"control home favourite","expected":{"12":"1.33","1X":"1.27","X2":"1.87","dnb_away":"2.86","dnb_home":"1.43"},"passed":false},{"actual":{"12":"1.39","1X":"1.67","X2":"1.39","dnb_away":"1.58","dnb_home":"2.08"},"check":"regression: market key mapping","expected":{"12":"1.17","1X":"1.67","X2":"1.39","dnb_away":"1.58","dnb_home":"2.08"},"passed":false},{"actual":{"12":"2.05","1X":"1.27","X2":"2.05","dnb_away":"3.08","dnb_home":"1.39"},"check":"variant scenario 1","expected":{"12":"1.27","1X":"1.27","X2":"2.05","dnb_away":"3.08","dnb_home":"1.39"},"passed":false},{"actual":{"12":"1.38","1X":"1.83","X2":"1.38","dnb_away":"1.56","dnb_home":"2.44"},"check":"variant scenario 2","expected":{"12":"1.24","1X":"1.83","X2":"1.38","dnb_away":"1.56","dnb_home":"2.44"},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"control balanced match\", \"actual\": {\"dnb_home\": \"1.72\", \"dnb_away\": \"2.06\", \"1X\": \"1.40\", \"12\": \"1.55\", \"X2\": \"1.55\"}, \"expected\": {\"12\": \"1.36\", \"1X\": \"1.40\", \"X2\": \"1.55\", \"dnb_away\": \"2.06\", \"dnb_home\": \"1.72\"}, \"passed\": false}, {\"check\": \"control strong favourite\", \"actual\": {\"dnb_home\": \"1.13\", \"dnb_away\": \"4.50\", \"1X\": \"1.09\", \"12\": \"2.40\", \"X2\": \"2.40\"}, \"expected\": {\"12\": \"1.20\", \"1X\": \"1.09\", \"X2\": \"2.40\", \"dnb_away\": \"4.50\", \"dnb_home\": \"1.13\"}, \"passed\": false}, {\"check\": \"boundary symmetric prices\", \"actual\": {\"dnb_home\": \"2.00\", \"dnb_away\": \"2.00\", \"1X\": \"1.50\", \"12\": \"1.50\", \"X2\": \"1.50\"}, \"expected\": {\"12\": \"1.50\", \"1X\": \"1.50\", \"X2\": \"1.50\", \"dnb_away\": \"2.00\", \"dnb_home\": \"2.00\"}, \"passed\": true}, {\"check\": \"control home favourite\", \"actual\": {\"dnb_home\": \"1.43\", \"dnb_away\": \"2.86\", \"1X\": \"1.27\", \"12\": \"1.87\", \"X2\": \"1.87\"}, \"expected\": {\"12\": \"1.33\", \"1X\": \"1.27\", \"X2\": \"1.87\", \"dnb_away\": \"2.86\", \"dnb_home\": \"1.43\"}, 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false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}