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📊 Prediction Accuracy
35.7%
Within 2 Positions
2.6
Avg Position Diff
14
Total Participants
🏁 Actual Results
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1California Poly Maritime Academy1.31+2.53vs Predicted
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2University of California at Davis-0.19+5.20vs Predicted
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3University of California at Los Angeles0.43+2.93vs Predicted
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4University of California at Berkeley-0.56+4.53vs Predicted
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5Cal Poly University S.L.O.0.83-0.25vs Predicted
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6Cal Poly University S.L.O.0.72-1.05vs Predicted
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7California Poly Maritime Academy0.86-2.26vs Predicted
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8University of California at Santa Cruz-0.59+1.06vs Predicted
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9Cal Poly University S.L.O.0.27-2.32vs Predicted
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10University of California at Los Angeles-0.23-2.18vs Predicted
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11California State University Channel Islands-2.40+1.64vs Predicted
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12San Diego State University-1.27-1.34vs Predicted
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13University of California at San Diego-1.13-2.86vs Predicted
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14University of California at San Diego-0.58-5.62vs Predicted
🎯 Predicted Standings
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3.53California Poly Maritime Academy1.3121.1%1st Place
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7.2University of California at Davis-0.195.3%1st Place
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5.93University of California at Los Angeles0.438.6%1st Place
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8.53University of California at Berkeley-0.563.4%1st Place
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4.75Cal Poly University S.L.O.0.8312.7%1st Place
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4.95Cal Poly University S.L.O.0.7212.2%1st Place
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4.74California Poly Maritime Academy0.8612.8%1st Place
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9.06University of California at Santa Cruz-0.593.1%1st Place
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6.68Cal Poly University S.L.O.0.277.4%1st Place
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7.82University of California at Los Angeles-0.234.6%1st Place
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12.64California State University Channel Islands-2.400.7%1st Place
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10.66San Diego State University-1.271.7%1st Place
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10.14University of California at San Diego-1.132.2%1st Place
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8.38University of California at San Diego-0.584.1%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kyle Farmer | 21.1% | 19.7% | 17.5% | 13.0% | 9.3% | 7.4% | 4.5% | 3.8% | 2.2% | 0.9% | 0.3% | 0.1% | 0.1% | 0.0% |
| Nathaniel Holden | 5.3% | 6.8% | 6.6% | 7.0% | 7.0% | 8.6% | 8.6% | 9.8% | 11.5% | 9.3% | 8.6% | 7.1% | 3.0% | 1.0% |
| Zack Taylor | 8.6% | 8.5% | 9.1% | 11.2% | 9.4% | 10.3% | 10.7% | 8.6% | 8.1% | 6.4% | 4.5% | 3.2% | 1.1% | 0.2% |
| Victoria Chen | 3.4% | 3.4% | 4.0% | 4.8% | 5.9% | 5.7% | 7.1% | 9.7% | 10.7% | 12.0% | 10.7% | 11.8% | 8.6% | 2.5% |
| Jack Kisling | 12.7% | 14.0% | 13.0% | 12.1% | 10.4% | 10.6% | 9.0% | 7.1% | 5.3% | 2.6% | 1.8% | 1.1% | 0.2% | 0.1% |
| Ryan Milne | 12.2% | 12.7% | 12.3% | 10.8% | 12.0% | 9.8% | 9.8% | 7.3% | 5.5% | 3.7% | 2.5% | 1.2% | 0.2% | 0.0% |
| Kawika Tumilowicz | 12.8% | 12.6% | 13.2% | 12.4% | 12.6% | 10.5% | 8.0% | 6.5% | 5.1% | 3.6% | 1.9% | 0.6% | 0.2% | 0.0% |
| Ryan Martin | 3.1% | 3.3% | 3.2% | 4.0% | 4.0% | 5.9% | 5.8% | 8.6% | 8.6% | 10.5% | 13.5% | 12.7% | 11.9% | 4.8% |
| Samuel Groom | 7.4% | 6.8% | 6.7% | 7.8% | 9.2% | 8.9% | 10.3% | 10.1% | 9.7% | 8.6% | 7.5% | 4.3% | 2.2% | 0.5% |
| Jacob Matiyevsky | 4.6% | 4.2% | 5.9% | 6.6% | 7.2% | 8.0% | 7.8% | 9.3% | 8.1% | 10.4% | 10.6% | 8.5% | 7.1% | 1.8% |
| Kitana Barrus | 0.7% | 0.4% | 0.9% | 0.8% | 0.9% | 1.1% | 1.5% | 1.9% | 2.2% | 3.5% | 3.9% | 7.8% | 14.5% | 60.0% |
| Tegan Smith | 1.7% | 1.8% | 1.9% | 1.9% | 2.9% | 3.0% | 3.9% | 4.4% | 5.7% | 7.8% | 10.8% | 16.1% | 22.6% | 15.6% |
| Ian Johnston | 2.2% | 1.8% | 2.0% | 2.8% | 3.9% | 3.1% | 5.7% | 5.2% | 6.8% | 9.2% | 11.5% | 15.3% | 19.8% | 10.8% |
| Sean Lipps | 4.1% | 4.3% | 3.8% | 5.0% | 5.5% | 6.9% | 7.4% | 7.6% | 10.5% | 11.5% | 12.1% | 10.1% | 8.5% | 2.8% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.