FAILURE MAP
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FA-85151 / Fantasy sports scoring / Open access

Shootout winners scored as goals · case 01

A skater credited with a shootout goal earns 3 extra points.

Verified by executionVariant 1 · 7 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Shootout goals are added to the goal count.

THE FAILURE

Shootout goals are added to the goal count.

Unsuccessful approach: Letting shootout goals complete a hat trick still credits them.

Case contract

Score a hockey skater in tenths: goal 3, assist 2, plus/minus 1 per unit (negative allowed), shot on goal 0.4, power-play points (goals plus assists) 0.5 extra each, short-handed points 1 extra each, and a single 2 point hat-trick bonus for three or more goals. Shootout goals (so_g) are not goals and score nothing.

Why this case matters

Special-teams extras, plus/minus signs and shootout exclusions are frequent skater scoring defects.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(g):
    pts = (g['g'] + g['so_g']) * 30 + g['a'] * 20 + g['pm'] * 10 + g['sog'] * 4
    pts += (g['ppg'] + g['ppa']) * 5
    pts += (g['shg'] + g['sha']) * 10
    if g['g'] >= 3:
        pts += 20
    return pts
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: shootout goals',
   [{'a': 1, 'g': 0, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 3}], 42),
  ('partial repair probe: shootout goals',
   [{'a': 2, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 139),
  ('second regression',
   [{'a': 2, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 6}], 89),
  ('normal control 1',
   [{'a': 0, 'g': 3, 'pm': 3, 'ppa': 2, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 6}], 194),
  ('normal control 2',
   [{'a': 1, 'g': 4, 'pm': -2, 'ppa': 1, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 4}], 186),
  ('normal control 3',
   [{'a': 2, 'g': 3, 'pm': 1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 7}], 223),
  ('normal control 4',
   [{'a': 1, 'g': 4, 'pm': 2, 'ppa': 1, 'ppg': 4, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 4}], 221)],
 [('regression: shootout goals',
   [{'a': 3, 'g': 1, 'pm': 1, 'ppa': 1, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 4}], 131),
  ('partial repair probe: shootout goals',
   [{'a': 1, 'g': 2, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 2, 'so_g': 1, 'sog': 3}], 92),
  ('second regression',
   [{'a': 1, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 3}], 27),
  ('normal control 1',
   [{'a': 0, 'g': 6, 'pm': 2, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 4, 'so_g': 0, 'sog': 8}], 307),
  ('normal control 2',
   [{'a': 3, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 8}], 172),
  ('normal control 3',
   [{'a': 2, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 3}], 152),
  ('normal control 4',
   [{'a': 1, 'g': 6, 'pm': 0, 'ppa': 1, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 7}], 288)],
 [('regression: shootout goals',
   [{'a': 3, 'g': 4, 'pm': 3, 'ppa': 2, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 10}], 305),
  ('partial repair probe: shootout goals',
   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 7}], 168),
  ('second regression',
   [{'a': 0, 'g': 3, 'pm': -1, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 134),
  ('normal control 1',
   [{'a': 2, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 1}], 69),
  ('normal control 2',
   [{'a': 1, 'g': 2, 'pm': 1, 'ppa': 2, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 130),
  ('normal control 3',
   [{'a': 0, 'g': 3, 'pm': 2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 5}], 170),
  ('normal control 4',
   [{'a': 1, 'g': 2, 'pm': 2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 6}], 134)],
 [('regression: shootout goals',
   [{'a': 3, 'g': 0, 'pm': 3, 'ppa': 2, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 1}], 104),
  ('partial repair probe: shootout goals',
   [{'a': 0, 'g': 2, 'pm': 0, 'ppa': 0, 'ppg': 1, 'sha': 1, 'shg': 1, 'so_g': 1, 'sog': 2}], 93),
  ('second regression',
   [{'a': 3, 'g': 1, 'pm': 2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 6}], 149),
  ('normal control 1',
   [{'a': 2, 'g': 0, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 0}], 40),
  ('normal control 2',
   [{'a': 3, 'g': 3, 'pm': 2, 'ppa': 1, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 7}], 238),
  ('normal control 3',
   [{'a': 0, 'g': 3, 'pm': 0, 'ppa': 2, 'ppg': 2, 'sha': 1, 'shg': 1, 'so_g': 0, 'sog': 7}], 178),
  ('normal control 4',
   [{'a': 2, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 2}], 148)],
 [('regression: shootout goals',
   [{'a': 1, 'g': 6, 'pm': -3, 'ppa': 1, 'ppg': 0, 'sha': 1, 'shg': 4, 'so_g': 1, 'sog': 10}], 285),
  ('partial repair probe: shootout goals',
   [{'a': 2, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 160),
  ('second regression',
   [{'a': 0, 'g': 6, 'pm': 2, 'ppa': 2, 'ppg': 5, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 10}], 305),
  ('normal control 1',
   [{'a': 2, 'g': 6, 'pm': 2, 'ppa': 1, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 6}], 324),
  ('normal control 2',
   [{'a': 0, 'g': 0, 'pm': -1, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 1}], -6),
  ('normal control 3',
   [{'a': 2, 'g': 2, 'pm': 2, 'ppa': 1, 'ppg': 1, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 5}], 160),
  ('normal control 4',
   [{'a': 1, 'g': 6, 'pm': -3, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 2, 'so_g': 0, 'sog': 9}], 261)]]
for label, args, expected in fixtures[N-1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression: shootout goals7242Failed
partial repair probe: shootout goals169139Failed
second regression11989Failed
normal control 1194194Passed
normal control 2186186Passed
normal control 3223223Passed
normal control 4221221Passed

SHA-256 / 3da4e39ea3dfa64fa14c6981b46266def2194c41a3f419f403b50487b7b1d7ff

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(g):
    pts = g['g'] * 30 + g['a'] * 20 + g['pm'] * 10 + g['sog'] * 4
    pts += (g['ppg'] + g['ppa']) * 5
    pts += (g['shg'] + g['sha']) * 10
    if g['g'] + g['so_g'] >= 3:
        pts += 20
    return pts
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: shootout goals',
   [{'a': 1, 'g': 0, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 3}], 42),
  ('partial repair probe: shootout goals',
   [{'a': 2, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 1, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 139),
  ('second regression',
   [{'a': 2, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 6}], 89),
  ('normal control 1',
   [{'a': 0, 'g': 3, 'pm': 3, 'ppa': 2, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 6}], 194),
  ('normal control 2',
   [{'a': 1, 'g': 4, 'pm': -2, 'ppa': 1, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 4}], 186),
  ('normal control 3',
   [{'a': 2, 'g': 3, 'pm': 1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 7}], 223),
  ('normal control 4',
   [{'a': 1, 'g': 4, 'pm': 2, 'ppa': 1, 'ppg': 4, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 4}], 221)],
 [('regression: shootout goals',
   [{'a': 3, 'g': 1, 'pm': 1, 'ppa': 1, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 4}], 131),
  ('partial repair probe: shootout goals',
   [{'a': 1, 'g': 2, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 2, 'so_g': 1, 'sog': 3}], 92),
  ('second regression',
   [{'a': 1, 'g': 0, 'pm': -1, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 3}], 27),
  ('normal control 1',
   [{'a': 0, 'g': 6, 'pm': 2, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 4, 'so_g': 0, 'sog': 8}], 307),
  ('normal control 2',
   [{'a': 3, 'g': 2, 'pm': 1, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 8}], 172),
  ('normal control 3',
   [{'a': 2, 'g': 3, 'pm': -2, 'ppa': 0, 'ppg': 0, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 3}], 152),
  ('normal control 4',
   [{'a': 1, 'g': 6, 'pm': 0, 'ppa': 1, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 7}], 288)],
 [('regression: shootout goals',
   [{'a': 3, 'g': 4, 'pm': 3, 'ppa': 2, 'ppg': 3, 'sha': 1, 'shg': 0, 'so_g': 1, 'sog': 10}], 305),
  ('partial repair probe: shootout goals',
   [{'a': 2, 'g': 2, 'pm': 3, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 7}], 168),
  ('second regression',
   [{'a': 0, 'g': 3, 'pm': -1, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 6}], 134),
  ('normal control 1',
   [{'a': 2, 'g': 1, 'pm': -2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 1}], 69),
  ('normal control 2',
   [{'a': 1, 'g': 2, 'pm': 1, 'ppa': 2, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 5}], 130),
  ('normal control 3',
   [{'a': 0, 'g': 3, 'pm': 2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 5}], 170),
  ('normal control 4',
   [{'a': 1, 'g': 2, 'pm': 2, 'ppa': 0, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 6}], 134)],
 [('regression: shootout goals',
   [{'a': 3, 'g': 0, 'pm': 3, 'ppa': 2, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 1}], 104),
  ('partial repair probe: shootout goals',
   [{'a': 0, 'g': 2, 'pm': 0, 'ppa': 0, 'ppg': 1, 'sha': 1, 'shg': 1, 'so_g': 1, 'sog': 2}], 93),
  ('second regression',
   [{'a': 3, 'g': 1, 'pm': 2, 'ppa': 1, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 6}], 149),
  ('normal control 1',
   [{'a': 2, 'g': 0, 'pm': 0, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 0}], 40),
  ('normal control 2',
   [{'a': 3, 'g': 3, 'pm': 2, 'ppa': 1, 'ppg': 3, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 7}], 238),
  ('normal control 3',
   [{'a': 0, 'g': 3, 'pm': 0, 'ppa': 2, 'ppg': 2, 'sha': 1, 'shg': 1, 'so_g': 0, 'sog': 7}], 178),
  ('normal control 4',
   [{'a': 2, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 0, 'sha': 0, 'shg': 1, 'so_g': 0, 'sog': 2}], 148)],
 [('regression: shootout goals',
   [{'a': 1, 'g': 6, 'pm': -3, 'ppa': 1, 'ppg': 0, 'sha': 1, 'shg': 4, 'so_g': 1, 'sog': 10}], 285),
  ('partial repair probe: shootout goals',
   [{'a': 2, 'g': 2, 'pm': 2, 'ppa': 2, 'ppg': 2, 'sha': 0, 'shg': 0, 'so_g': 1, 'sog': 5}], 160),
  ('second regression',
   [{'a': 0, 'g': 6, 'pm': 2, 'ppa': 2, 'ppg': 5, 'sha': 0, 'shg': 1, 'so_g': 1, 'sog': 10}], 305),
  ('normal control 1',
   [{'a': 2, 'g': 6, 'pm': 2, 'ppa': 1, 'ppg': 1, 'sha': 0, 'shg': 3, 'so_g': 0, 'sog': 6}], 324),
  ('normal control 2',
   [{'a': 0, 'g': 0, 'pm': -1, 'ppa': 0, 'ppg': 0, 'sha': 0, 'shg': 0, 'so_g': 0, 'sog': 1}], -6),
  ('normal control 3',
   [{'a': 2, 'g': 2, 'pm': 2, 'ppa': 1, 'ppg': 1, 'sha': 1, 'shg': 0, 'so_g': 0, 'sog': 5}], 160),
  ('normal control 4',
   [{'a': 1, 'g': 6, 'pm': -3, 'ppa': 1, 'ppg': 2, 'sha': 0, 'shg': 2, 'so_g': 0, 'sog': 9}], 261)]]
for label, args, expected in fixtures[N-1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression: shootout goals4242Passed
partial repair probe: shootout goals159139Failed
second regression8989Passed
normal control 1194194Passed
normal control 2186186Passed
normal control 3223223Passed
normal control 4221221Passed

SHA-256 / 62c8182c91db15dfc8b6a24f853c9b81807a1b4985358c6ce7093dbb049fc5a0

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 7 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

Member access is invitation-based. Sign in with your invited account to inspect the repair.

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Verification & scope

A deterministic toy scoring contract stipulated for this example; it is not the rulebook of any real fantasy platform. 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.

Observations recorded using Python 3.12.14 at 2026-09-29T14:50:37.810184+00:00.

Case digest / 445ac090fa1304c89ce98a4b0ab3b65e8fe48e658989717166a619921391b9c0