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📊 Prediction Accuracy
66.7%
Within 2 Positions
1.8
Avg Position Diff
6
Total Participants
🏁 Actual Results
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1University of California at San Diego-1.83+3.82vs Predicted
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2University of California at San Diego-0.33+0.75vs Predicted
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3University of California at San Diego-1.11+0.83vs Predicted
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4University of California at San Diego-0.58-1.10vs Predicted
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5University of California at San Diego-1.13-1.10vs Predicted
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6University of California at San Diego-0.15-3.21vs Predicted
🎯 Predicted Standings
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4.82University of California at San Diego-1.836.0%1st Place
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2.75University of California at San Diego-0.3323.9%1st Place
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3.83University of California at San Diego-1.1112.0%1st Place
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2.9University of California at San Diego-0.5822.0%1st Place
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3.9University of California at San Diego-1.1311.1%1st Place
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2.79University of California at San Diego-0.1524.9%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| Maria Guinness | 6.0% | 5.5% | 7.9% | 11.3% | 19.5% | 49.8% |
| Sebastien Franck | 23.9% | 24.2% | 21.8% | 16.2% | 10.5% | 3.4% |
| Ryan McCrystal | 12.0% | 13.0% | 14.7% | 18.1% | 24.4% | 17.8% |
| Sean Lipps | 22.0% | 22.6% | 20.8% | 17.6% | 11.7% | 5.2% |
| Ian Johnston | 11.1% | 12.0% | 14.8% | 19.5% | 22.7% | 19.9% |
| Tobie Bloom | 24.9% | 22.7% | 20.0% | 17.3% | 11.2% | 4.0% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.