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📊 Prediction Accuracy
66.7%
Within 2 Positions
1.5
Avg Position Diff
6
Total Participants
🏁 Actual Results
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1University of California at San Diego-1.07+2.04vs Predicted
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2University of California at San Diego-0.68+0.46vs Predicted
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3University of California at San Diego-2.60+1.89vs Predicted
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4University of California at San Diego-1.71-0.14vs Predicted
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5University of California at San Diego-2.05-0.64vs Predicted
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6University of California at San Diego-0.58-3.60vs Predicted
🎯 Predicted Standings
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3.04University of California at San Diego-1.070.2%1st Place
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2.46University of California at San Diego-0.680.3%1st Place
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4.89University of California at San Diego-2.600.1%1st Place
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3.86University of California at San Diego-1.710.1%1st Place
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4.36University of California at San Diego-2.050.1%1st Place
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2.4University of California at San Diego-0.580.3%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| Sean Lipps | 17.5% | 22.6% | 22.4% | 18.4% | 14.6% | 4.5% |
| Sebastien Franck | 30.9% | 25.5% | 21.1% | 13.5% | 7.0% | 2.0% |
| Maria Guinness | 5.0% | 5.9% | 5.5% | 13.0% | 19.7% | 50.9% |
| Ian Johnston | 9.2% | 11.8% | 17.1% | 21.9% | 26.2% | 13.8% |
| Ryan McCrystal | 6.6% | 7.7% | 11.4% | 19.4% | 27.3% | 27.6% |
| Tobie Bloom | 30.8% | 26.5% | 22.5% | 13.8% | 5.2% | 1.2% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.