2026-06-17__22-40-18

skills/world-cup-picks-report/evals/regression

sourishkrout/skillsIndexed 7/21/26, 6:06 PMOverview
Reward
0.85
Status
completed
Duration
3m 32s
Cost
$1.85
Tokens
469,896
Comparison
reward decreased; review before promotion.
Base
2026-06-17__20-06-47 (e1386e9)
Candidate
2026-06-17__22-40-18 (989c848)
Reward delta
-0.05
Metadata
match
Rewards
Incomplete rewards first. Values are raw decimals.
Reward
reward
0.85
Reward dimensions
citation_proximityProgrammatic0.50
sourishkrout/skills_world-cup-picks-report_end-to-end0.50
citation_proximity0.50

citation_proximity

expert_anchor_coverageLLM judge0.75
sourishkrout/skills_world-cup-picks-report_end-to-end0.75

Every fixture has at least one named, linked source anchor tied directly to it in the narrative. Panama vs England uses Betfair and ESPN odds plus Opta context. Croatia vs Ghana uses World Football26 odds/predictions and ESPN odds with explicit win-probability figures. Colombia vs Portugal and DR Congo vs Uzbekistan each cite KickOff and Betfair prediction pages with scoreline probabilities (~12% and ~13%). Jordan vs Argentina cites KickOff and ESPN odds with a quoted 0:2 probability of ~15%. Algeria vs Austria cites KickOff and ESPN odds with implied market probabilities. The report also appropriately flags when explicit expert scoreline consensus is thin (DR Congo, Algeria fixtures) and falls back on model/market evidence. The main small deductions: (a) the 'model' producing the scoreline probabilities is never explicitly named beyond the general KickOff/Betfair attribution, leaving a slight traceability gap; (b) the 'most-cited expert correct score is 2:1' claim for Croatia vs Ghana is asserted but only one source (worldfootball26.com) is linked, making 'most-cited' a modest overstatement; (c) Opta and Al Jazeera sources are listed but used only for macro group/title-contender framing rather than fixture-level correct-score anchoring. These are minor issues; the overall fixture-level grounding is solid across all six matches.

rate_whether_every_fixture_in_the_report0.75

Rate whether every fixture in the report is grounded in a credible expert, prediction, preview, or correct-score source. Give full credit when each fixture has a clear anchor, or when the report honestly says explicit expert scoreline data is unavailable and uses model or market evidence as a fallback. Penalize missing fixture anchors, vague unsupported expert claims, or anchors only listed in sources without being tied to a fixture.

Judge model
anthropic/claude-sonnet-4-6
Judge mode
batched
Reasoning effort
medium
Timeout
300s
Full judge output
{"score":4,"reasoning":"Every fixture has at least one named, linked source anchor tied directly to it in the narrative. Panama vs England uses Betfair and ESPN odds plus Opta context. Croatia vs Ghana uses World Football26 odds/predictions and ESPN odds with explicit win-probability figures. Colombia vs Portugal and DR Congo vs Uzbekistan each cite KickOff and Betfair prediction pages with scoreline probabilities (~12% and ~13%). Jordan vs Argentina cites KickOff and ESPN odds with a quoted 0:2 probability of ~15%. Algeria vs Austria cites KickOff and ESPN odds with implied market probabilities. The report also appropriately flags when explicit expert scoreline consensus is thin (DR Congo, Algeria fixtures) and falls back on model/market evidence. The main small deductions: (a) the 'model' producing the scoreline probabilities is never explicitly named beyond the general KickOff/Betfair attribution, leaving a slight traceability gap; (b) the 'most-cited expert correct score is 2:1' claim for Croatia vs Ghana is asserted but only one source (worldfootball26.com) is linked, making 'most-cited' a modest overstatement; (c) Opta and Al Jazeera sources are listed but used only for macro group/title-contender framing rather than fixture-level correct-score anchoring. These are minor issues; the overall fixture-level grounding is solid across all six matches."}
expert_anchor_usageLLM judge0.75
sourishkrout/skills_world-cup-picks-report_end-to-end0.75

Most match blocks clearly name at least one relevant prediction/preview/correct-score source and connect it to the chosen scoreline. Croatia vs Ghana explicitly states 'the most-cited expert correct score is 2:1' with World Football26 cited. Colombia vs Portugal, DR Congo vs Uzbekistan, Jordan vs Argentina, and Algeria vs Austria each cite 'model's most likely scoreline' with specific percentages tied to named KickOff and Betfair prediction links, which qualify as correct-score/preview sources. Panama vs England is the weakest block — it references the Betfair predictions link and Opta in the sources section but the body text relies primarily on market odds and historical precedent (2018 6-1 result) rather than explicitly naming a source that predicts 0:2. The 0:2 pick is reasonably inferred from market expectations and the goals line, but no expert or model is directly quoted as predicting that exact scoreline. Since five of six blocks have clear source-to-pick connections and one is implicit rather than explicit, a score of 4 is appropriate rather than full marks.

rate_whether_each_match_pick_uses_at_lea0.75

Rate whether each match pick uses at least one expert prediction, correct-score source, preview, or equivalent pick as a visible source for the chosen scoreline. Do not require exact phrases like 'expert anchor'. Full credit is appropriate when every match block names or cites a relevant source and connects it to the pick, even if other sources disagree or predict a different score. Do not penalize unresolved disagreement between credible sources; disagreement is acceptable as long as the report shows source presence and uses at least one source for each pick. Penalize only when match blocks lack a visible expert/prediction/preview/correct-score source, cite sources without tying them to the pick, or rely only on unsupported generic model/market language.

Judge model
anthropic/claude-sonnet-4-6
Judge mode
batched
Reasoning effort
medium
Timeout
300s
Full judge output
{"score":4,"reasoning":"Most match blocks clearly name at least one relevant prediction/preview/correct-score source and connect it to the chosen scoreline. Croatia vs Ghana explicitly states 'the most-cited expert correct score is 2:1' with World Football26 cited. Colombia vs Portugal, DR Congo vs Uzbekistan, Jordan vs Argentina, and Algeria vs Austria each cite 'model's most likely scoreline' with specific percentages tied to named KickOff and Betfair prediction links, which qualify as correct-score/preview sources. Panama vs England is the weakest block — it references the Betfair predictions link and Opta in the sources section but the body text relies primarily on market odds and historical precedent (2018 6-1 result) rather than explicitly naming a source that predicts 0:2. The 0:2 pick is reasonably inferred from market expectations and the goals line, but no expert or model is directly quoted as predicting that exact scoreline. Since five of six blocks have clear source-to-pick connections and one is implicit rather than explicit, a score of 4 is appropriate rather than full marks."}
source_qualityLLM judge0.50
sourishkrout/skills_world-cup-picks-report_end-to-end0.50

The report demonstrates reasonable breadth across source categories. Official fixture information is well covered (FIFA, ESPN, Sky Sports). Market/odds evidence is solid with ESPN odds pages and Betfair cited for most matches. Opta Analyst is referenced for model/probability context, providing a recognized tier-1 analytical source. Elo ratings are cited via eloratings.net. Expert previews come from Betfair predictions and KickOff.co.uk, though these are mid-tier sources; World Football26 is a lower-quality/obscure outlet. The key gap is lineup and injury sourcing: the report repeatedly flags rotation risk as critical but cites no official team news, manager press conferences, or beat-reporter sources to support those claims. Several probability figures (e.g., 'Croatia ~58% to win,' 'model's most likely scoreline is 1:1 (~12%)') are loosely attributed to an unnamed 'model' without a traceable citation. The Opta links are general World Cup tournament previews rather than match-specific previews, reducing their direct relevance. Overall, the report covers most source categories at a basic level but lacks depth on team-news/lineup sourcing and has some untraceable probability claims, warranting a middle score.

rate_the_quality_and_coverage_of_sources0.50

Rate the quality and coverage of sources used by the report. A strong report cites or clearly references official fixture information, expert previews or picks, model/probability sources such as Opta or equivalent, market/odds evidence, Elo or team-strength ratings, and current lineup/injury/team-news context. Penalize thin sourcing, missing source categories, untraceable claims, or reliance on low-quality/generic sources.

Judge model
anthropic/claude-sonnet-4-6
Judge mode
batched
Reasoning effort
medium
Timeout
300s
Full judge output
{"score":3,"reasoning":"The report demonstrates reasonable breadth across source categories. Official fixture information is well covered (FIFA, ESPN, Sky Sports). Market/odds evidence is solid with ESPN odds pages and Betfair cited for most matches. Opta Analyst is referenced for model/probability context, providing a recognized tier-1 analytical source. Elo ratings are cited via eloratings.net. Expert previews come from Betfair predictions and KickOff.co.uk, though these are mid-tier sources; World Football26 is a lower-quality/obscure outlet. The key gap is lineup and injury sourcing: the report repeatedly flags rotation risk as critical but cites no official team news, manager press conferences, or beat-reporter sources to support those claims. Several probability figures (e.g., 'Croatia ~58% to win,' 'model's most likely scoreline is 1:1 (~12%)') are loosely attributed to an unnamed 'model' without a traceable citation. The Opta links are general World Cup tournament previews rather than match-specific previews, reducing their direct relevance. Overall, the report covers most source categories at a basic level but lacks depth on team-news/lineup sourcing and has some untraceable probability claims, warranting a middle score."}
artifact_writtenProgrammatic1.00
sourishkrout/skills_world-cup-picks-report_end-to-end1.00
artifact_written1.00

artifact_written

guardrailsProgrammatic1.00
sourishkrout/skills_world-cup-picks-report_end-to-end1.00
guardrails1.00

guardrails

report_completenessLLM judge1.00
sourishkrout/skills_world-cup-picks-report_end-to-end1.00

The report is comprehensive and well-structured. It clearly states the scope (Group stage Matchday 3, Saturday June 27 2026, U.S. Pacific time). All six expected fixtures for that day across Groups J, K, and L are included with correct Pacific kickoff times and venues. Each fixture has an exact home:away scoreline prediction, a confidence level (High/Medium/Low), basis notes with odds/model probabilities, and risk notes including rotation caveats. There is a dedicated 'Best Scoreline Leans' section, a 'Wait For Lineups' section covering late-news and rotation considerations, and an extensive sources section with 19 cited URLs covering schedules, odds, predictions, and analytical tools. The report also includes a disclaimer about prediction purposes. No fixtures appear omitted, the date framing is current and correct, and all required elements are present and detailed.

rate_whether_the_final_report_is_complet1.00

Rate whether the final report is complete for a Discord World Cup scoreline report. It should include scope/date, all expected fixtures for Saturday June 27 2026 in U.S. Pacific time, exact home:away scorelines, confidence levels, basis notes, risk notes, best scoreline leans, lineup or late-news caveats, and sources. Penalize omitted fixtures, stale date framing, missing risk/basis/confidence, or missing source context.

Judge model
anthropic/claude-sonnet-4-6
Judge mode
batched
Reasoning effort
medium
Timeout
300s
Full judge output
{"score":5,"reasoning":"The report is comprehensive and well-structured. It clearly states the scope (Group stage Matchday 3, Saturday June 27 2026, U.S. Pacific time). All six expected fixtures for that day across Groups J, K, and L are included with correct Pacific kickoff times and venues. Each fixture has an exact home:away scoreline prediction, a confidence level (High/Medium/Low), basis notes with odds/model probabilities, and risk notes including rotation caveats. There is a dedicated 'Best Scoreline Leans' section, a 'Wait For Lineups' section covering late-news and rotation considerations, and an extensive sources section with 19 cited URLs covering schedules, odds, predictions, and analytical tools. The report also includes a disclaimer about prediction purposes. No fixtures appear omitted, the date framing is current and correct, and all required elements are present and detailed."}
scoreline_formatProgrammatic1.00
sourishkrout/skills_world-cup-picks-report_end-to-end1.00
scoreline_format1.00

scoreline_format

skill_activation_evidenceProgrammatic1.00
sourishkrout/skills_world-cup-picks-report_end-to-end1.00
skill_activation_evidence1.00

skill_activation_evidence

workflow_sequence_evidenceLLM judge1.00
sourishkrout/skills_world-cup-picks-report_end-to-end1.00

The agent executed all required workflow phases with strong evidence in both the trajectory and report. (1) Fixtures: correctly identified all 6 Group J/K/L matches for June 27, 2026 and properly converted ET times to Pacific. (2) Expert scoreline anchors: searched each fixture individually via Betfair, KickOff, World Football26, and other prediction sites, retrieving specific correct-score probabilities (e.g., Croatia 2:1, Argentina 0:2 at ~15%). (3) Model probabilities: obtained numeric win/draw/loss probabilities for each match (Croatia ~58%/25%/17%, BTTS markets, etc.). (4) Market/odds evidence: gathered sportsbook consensus from ESPN, Betfair, Oddschecker, FanDuel for all six fixtures. (5) Elo/team-strength context: searched eloratings.net and Opta supercomputer; specific numerical Elo values were not extracted but qualitative strength context (Argentina 73% group-top probability, Opta title odds, Al Jazeera group rankings) was incorporated. (6) Lineup/injury/context: consistently flagged rotation risk for England and Argentina if already qualified, and noted how group-qualification math would affect tempo—applied to Panama-England, Jordan-Argentina, Algeria-Austria, and DRC-Uzbekistan. (7) Synthesis: all six fixtures received explicit home:away scores, confidence levels, Basis and Risk lines, supported by the prior research steps. The Best Leans, Traps, and Wait-for-Lineups sections are well-reasoned summaries. The only minor gap is the absence of precise Elo point values, but the qualitative Elo/strength check was clearly performed and documented. Overall the workflow is thorough, complete, and well-documented.

rate_whether_the_report_and_available_tr1.00

Rate whether the report and available trajectory show the intended workflow: identify the relevant FIFA fixtures for the date, collect expert scoreline or prediction anchors, compare with model probabilities, compare with market or odds evidence, check Elo or team-strength context, account for lineup/injury/current-match context, and synthesize final scoreline picks. Give credit for evidence in either the final report or trajectory. Penalize skipped phases or final picks that appear unsupported by the workflow.

Judge model
anthropic/claude-sonnet-4-6
Judge mode
batched
Reasoning effort
medium
Timeout
300s
Full judge output
{"score": 5, "reasoning": "The agent executed all required workflow phases with strong evidence in both the trajectory and report. (1) Fixtures: correctly identified all 6 Group J/K/L matches for June 27, 2026 and properly converted ET times to Pacific. (2) Expert scoreline anchors: searched each fixture individually via Betfair, KickOff, World Football26, and other prediction sites, retrieving specific correct-score probabilities (e.g., Croatia 2:1, Argentina 0:2 at ~15%). (3) Model probabilities: obtained numeric win/draw/loss probabilities for each match (Croatia ~58%/25%/17%, BTTS markets, etc.). (4) Market/odds evidence: gathered sportsbook consensus from ESPN, Betfair, Oddschecker, FanDuel for all six fixtures. (5) Elo/team-strength context: searched eloratings.net and Opta supercomputer; specific numerical Elo values were not extracted but qualitative strength context (Argentina 73% group-top probability, Opta title odds, Al Jazeera group rankings) was incorporated. (6) Lineup/injury/context: consistently flagged rotation risk for England and Argentina if already qualified, and noted how group-qualification math would affect tempo—applied to Panama-England, Jordan-Argentina, Algeria-Austria, and DRC-Uzbekistan. (7) Synthesis: all six fixtures received explicit home:away scores, confidence levels, Basis and Risk lines, supported by the prior research steps. The Best Leans, Traps, and Wait-for-Lineups sections are well-reasoned summaries. The only minor gap is the absence of precise Elo point values, but the qualitative Elo/strength check was clearly performed and documented. Overall the workflow is thorough, complete, and well-documented."}
Attempts
Individual task attempts inside the trial.
end-to-end__VGRZ2ig
sourishkrout/skills_world-cup-picks-report_end-to-end
0.85completed3m 31s$1.85469,896
Verifier Notes
Reasoning from incomplete rewards when available.
artifact_written1.00
citation_proximity0.50
expert_anchor_coverage0.75

Every fixture has at least one named, linked source anchor tied directly to it in the narrative. Panama vs England uses Betfair and ESPN odds plus Opta context. Croatia vs Ghana uses World Football26 odds/predictions and ESPN odds with explicit win-probability figures. Colombia vs Portugal and DR Congo vs Uzbekistan each cite KickOff and Betfair prediction pages with scoreline probabilities (~12% and ~13%). Jordan vs Argentina cites KickOff and ESPN odds with a quoted 0:2 probability of ~15%. Algeria vs Austria cites KickOff and ESPN odds with implied market probabilities. The report also appropriately flags when explicit expert scoreline consensus is thin (DR Congo, Algeria fixtures) and falls back on model/market evidence. The main small deductions: (a) the 'model' producing the scoreline probabilities is never explicitly named beyond the general KickOff/Betfair attribution, leaving a slight traceability gap; (b) the 'most-cited expert correct score is 2:1' claim for Croatia vs Ghana is asserted but only one source (worldfootball26.com) is linked, making 'most-cited' a modest overstatement; (c) Opta and Al Jazeera sources are listed but used only for macro group/title-contender framing rather than fixture-level correct-score anchoring. These are minor issues; the overall fixture-level grounding is solid across all six matches.

expert_anchor_usage0.75

Most match blocks clearly name at least one relevant prediction/preview/correct-score source and connect it to the chosen scoreline. Croatia vs Ghana explicitly states 'the most-cited expert correct score is 2:1' with World Football26 cited. Colombia vs Portugal, DR Congo vs Uzbekistan, Jordan vs Argentina, and Algeria vs Austria each cite 'model's most likely scoreline' with specific percentages tied to named KickOff and Betfair prediction links, which qualify as correct-score/preview sources. Panama vs England is the weakest block — it references the Betfair predictions link and Opta in the sources section but the body text relies primarily on market odds and historical precedent (2018 6-1 result) rather than explicitly naming a source that predicts 0:2. The 0:2 pick is reasonably inferred from market expectations and the goals line, but no expert or model is directly quoted as predicting that exact scoreline. Since five of six blocks have clear source-to-pick connections and one is implicit rather than explicit, a score of 4 is appropriate rather than full marks.

Infra / Local Debug
Job path
https://github.com/sourishkrout/skills/commit/989c84864830d9c065d14965d445859f17dbfb14
Eval keys
runme-claude-code__regression
Agents
runme-claude-code
Models
claude-opus-4-8
Input tokens
254,506
Cache tokens
208,004
Output tokens
7,386