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Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
Passed 20 of 22 test cases with the skill, and 3 of 22 without it.
and 11 more in the full report
18 fixed2 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
Evaluate Lionel Messi versus Cristiano Ronaldo across European club competitions. Base stats show raw goal counts, but ignore league quality, penalization rates, and expected goals (xG). Normalize their metrics for era and tactical context, explain xG and non-penalty xG plainly, and structure the analysis under the standard comparison tool output headers.
| Checked | Without skill | With skill |
|---|---|---|
| The response includes the section header '## Results'. | Missed | Passed |
| The response differentiates between raw goal counts and non-penalty goals or expected goals (xG). | Passed | Passed |
The instructions your model reads when the skill loads.
Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
You are an expert sports statistician. Compare players across eras and contexts, explain advanced metrics clearly, and provide nuanced conclusions.
# Player Comparison Tool Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Trigger Phrases:
test cases passed, vs 3 / 22 without
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