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📊 Prediction Accuracy
83.3%
Within 2 Positions
1.4
Avg Position Diff
6
Total Participants
🏁 Actual Results
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1University of California at San Diego-0.58+1.89vs Predicted
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2University of California at San Diego-0.33+0.69vs Predicted
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3University of California at San Diego-1.83+1.77vs Predicted
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4University of California at San Diego-1.13-0.06vs Predicted
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5University of California at San Diego-1.11-1.13vs Predicted
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6University of California at San Diego-0.15-3.16vs Predicted
🎯 Predicted Standings
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2.89University of California at San Diego-0.5822.9%1st Place
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2.69University of California at San Diego-0.3327.4%1st Place
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4.77University of California at San Diego-1.834.9%1st Place
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3.94University of California at San Diego-1.1311.2%1st Place
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3.87University of California at San Diego-1.1111.2%1st Place
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2.84University of California at San Diego-0.1522.4%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| Sean Lipps | 22.9% | 22.7% | 19.2% | 17.2% | 13.5% | 4.5% |
| Sebastien Franck | 27.4% | 23.0% | 19.7% | 16.7% | 9.8% | 3.5% |
| Maria Guinness | 4.9% | 7.0% | 8.9% | 13.0% | 18.3% | 48.0% |
| Ian Johnston | 11.2% | 12.0% | 14.5% | 17.5% | 23.5% | 21.2% |
| Ryan McCrystal | 11.2% | 11.9% | 15.7% | 18.9% | 24.1% | 18.0% |
| Tobie Bloom | 22.4% | 23.3% | 22.0% | 16.8% | 10.8% | 4.8% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.