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📊 Prediction Accuracy
35.7%
Within 2 Positions
2.8
Avg Position Diff
14
Total Participants
🏁 Actual Results
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1Cal Poly University S.L.O.0.72+4.01vs Predicted
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2California Poly Maritime Academy1.31+1.41vs Predicted
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3University of California at Los Angeles0.43+2.77vs Predicted
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4University of California at Davis-0.19+3.15vs Predicted
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5University of California at Santa Cruz-0.59+3.94vs Predicted
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6Cal Poly University S.L.O.0.27+0.66vs Predicted
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7University of California at San Diego-0.58+1.56vs Predicted
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8University of California at Berkeley-0.88+1.42vs Predicted
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9Cal Poly University S.L.O.0.83-4.22vs Predicted
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10California Poly Maritime Academy0.86-5.32vs Predicted
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11University of California at Los Angeles-0.23-3.28vs Predicted
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12California State University Channel Islands-2.40+0.61vs Predicted
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13San Diego State University-1.27-2.73vs Predicted
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14University of California at San Diego-1.13-3.99vs Predicted
🎯 Predicted Standings
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5.01Cal Poly University S.L.O.0.7210.8%1st Place
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3.41California Poly Maritime Academy1.3124.4%1st Place
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5.77University of California at Los Angeles0.4310.2%1st Place
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7.15University of California at Davis-0.195.9%1st Place
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8.94University of California at Santa Cruz-0.592.1%1st Place
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6.66Cal Poly University S.L.O.0.276.4%1st Place
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8.56University of California at San Diego-0.582.6%1st Place
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9.42University of California at Berkeley-0.883.1%1st Place
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4.78Cal Poly University S.L.O.0.8312.0%1st Place
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4.68California Poly Maritime Academy0.8614.4%1st Place
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7.72University of California at Los Angeles-0.233.9%1st Place
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12.61California State University Channel Islands-2.400.5%1st Place
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10.27San Diego State University-1.271.9%1st Place
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10.01University of California at San Diego-1.131.7%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ryan Milne | 10.8% | 11.9% | 12.2% | 12.8% | 11.8% | 10.4% | 9.4% | 8.0% | 5.3% | 3.9% | 1.8% | 1.2% | 0.4% | 0.1% |
| Kyle Farmer | 24.4% | 19.6% | 14.5% | 13.7% | 10.0% | 6.7% | 5.1% | 2.8% | 1.9% | 0.9% | 0.4% | 0.1% | 0.0% | 0.0% |
| Zack Taylor | 10.2% | 9.3% | 10.5% | 8.6% | 9.7% | 9.9% | 9.2% | 9.4% | 9.2% | 6.7% | 4.1% | 2.4% | 0.7% | 0.2% |
| Nathaniel Holden | 5.9% | 5.2% | 6.7% | 7.4% | 7.0% | 9.4% | 10.1% | 11.0% | 9.3% | 8.3% | 8.8% | 6.5% | 3.5% | 0.9% |
| Ryan Martin | 2.1% | 3.5% | 3.9% | 4.4% | 5.2% | 5.5% | 7.5% | 7.3% | 9.0% | 10.5% | 12.7% | 13.3% | 11.6% | 3.5% |
| Samuel Groom | 6.4% | 6.6% | 7.0% | 8.2% | 10.2% | 9.9% | 10.1% | 9.6% | 9.2% | 8.6% | 6.9% | 5.0% | 1.9% | 0.4% |
| Sean Lipps | 2.6% | 4.2% | 4.0% | 4.9% | 5.0% | 6.3% | 7.8% | 8.5% | 10.0% | 12.5% | 12.1% | 10.5% | 8.8% | 2.8% |
| Viola Phillips Frank | 3.1% | 2.4% | 3.5% | 3.0% | 3.9% | 4.5% | 6.6% | 6.6% | 8.8% | 10.1% | 12.5% | 13.9% | 14.9% | 6.3% |
| Jack Kisling | 12.0% | 12.8% | 13.7% | 11.8% | 12.3% | 10.4% | 9.0% | 7.0% | 4.9% | 3.4% | 1.9% | 0.7% | 0.1% | 0.1% |
| Kawika Tumilowicz | 14.4% | 14.5% | 12.2% | 11.5% | 10.7% | 10.3% | 7.3% | 7.1% | 5.1% | 3.9% | 1.9% | 0.9% | 0.1% | 0.0% |
| Jacob Matiyevsky | 3.9% | 5.2% | 5.7% | 6.2% | 7.2% | 8.0% | 8.3% | 9.8% | 10.3% | 10.1% | 10.4% | 8.2% | 5.3% | 1.4% |
| Kitana Barrus | 0.5% | 0.7% | 0.9% | 1.0% | 0.9% | 1.1% | 1.1% | 1.5% | 2.8% | 4.2% | 4.2% | 7.2% | 12.5% | 61.4% |
| Tegan Smith | 1.9% | 1.8% | 2.8% | 2.9% | 2.8% | 3.6% | 3.8% | 6.1% | 6.9% | 8.9% | 9.5% | 13.8% | 22.1% | 13.1% |
| Ian Johnston | 1.7% | 2.4% | 2.4% | 3.8% | 3.4% | 4.0% | 4.8% | 5.5% | 7.0% | 8.2% | 12.8% | 16.4% | 17.9% | 9.9% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.