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📊 Prediction Accuracy
35.7%
Within 2 Positions
2.9
Avg Position Diff
14
Total Participants
🏁 Actual Results
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1California Poly Maritime Academy1.31+2.46vs Predicted
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2California Poly Maritime Academy0.86+2.72vs Predicted
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3University of California at Los Angeles-0.23+4.71vs Predicted
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4University of California at Santa Cruz-0.59+5.07vs Predicted
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5University of California at Los Angeles0.43+0.89vs Predicted
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6Cal Poly University S.L.O.0.83-1.13vs Predicted
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7Cal Poly University S.L.O.0.72-1.99vs Predicted
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8University of California at Berkeley-0.56+0.62vs Predicted
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9California State University Channel Islands-2.40+3.50vs Predicted
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10San Diego State University-1.27+0.53vs Predicted
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11University of California at San Diego-0.58-2.41vs Predicted
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12Cal Poly University S.L.O.0.27-5.45vs Predicted
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13University of California at San Diego-1.13-2.87vs Predicted
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14University of California at Davis-0.19-6.66vs Predicted
🎯 Predicted Standings
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3.46California Poly Maritime Academy1.3123.1%1st Place
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4.72California Poly Maritime Academy0.8613.2%1st Place
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7.71University of California at Los Angeles-0.235.2%1st Place
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9.07University of California at Santa Cruz-0.592.7%1st Place
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5.89University of California at Los Angeles0.439.4%1st Place
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4.87Cal Poly University S.L.O.0.8312.5%1st Place
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5.01Cal Poly University S.L.O.0.7210.9%1st Place
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8.62University of California at Berkeley-0.563.6%1st Place
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12.5California State University Channel Islands-2.400.7%1st Place
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10.53San Diego State University-1.272.1%1st Place
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8.59University of California at San Diego-0.583.2%1st Place
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6.55Cal Poly University S.L.O.0.276.7%1st Place
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10.13University of California at San Diego-1.131.8%1st Place
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7.34University of California at Davis-0.194.9%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kyle Farmer | 23.1% | 20.1% | 16.2% | 12.2% | 10.0% | 6.7% | 4.8% | 3.9% | 1.8% | 0.7% | 0.7% | 0.1% | 0.0% | 0.0% |
| Kawika Tumilowicz | 13.2% | 13.0% | 12.4% | 12.8% | 11.7% | 10.2% | 9.2% | 7.1% | 4.5% | 2.8% | 2.1% | 0.7% | 0.3% | 0.0% |
| Jacob Matiyevsky | 5.2% | 5.2% | 4.7% | 6.2% | 6.6% | 7.4% | 8.9% | 11.0% | 8.9% | 10.2% | 10.8% | 8.3% | 4.8% | 1.8% |
| Ryan Martin | 2.7% | 2.7% | 3.1% | 4.2% | 5.5% | 6.9% | 6.0% | 7.0% | 8.8% | 11.2% | 10.9% | 13.1% | 12.7% | 5.2% |
| Zack Taylor | 9.4% | 8.4% | 8.8% | 9.8% | 9.3% | 10.9% | 11.6% | 9.0% | 8.3% | 6.5% | 4.2% | 2.6% | 1.0% | 0.1% |
| Jack Kisling | 12.5% | 12.7% | 13.7% | 11.7% | 11.1% | 8.9% | 8.5% | 7.3% | 7.0% | 3.9% | 1.8% | 0.8% | 0.4% | 0.1% |
| Ryan Milne | 10.9% | 11.8% | 12.5% | 12.7% | 12.5% | 10.7% | 8.2% | 6.9% | 5.8% | 3.7% | 2.8% | 1.4% | 0.3% | 0.1% |
| Victoria Chen | 3.6% | 3.5% | 4.5% | 5.5% | 5.1% | 5.8% | 6.3% | 8.0% | 9.7% | 10.1% | 12.0% | 12.8% | 10.2% | 3.0% |
| Kitana Barrus | 0.7% | 1.1% | 0.8% | 1.1% | 0.7% | 1.2% | 1.7% | 2.1% | 2.5% | 2.9% | 4.9% | 7.0% | 14.5% | 58.9% |
| Tegan Smith | 2.1% | 1.5% | 2.1% | 1.7% | 2.8% | 4.0% | 4.0% | 5.1% | 6.2% | 8.2% | 10.8% | 14.1% | 22.1% | 15.2% |
| Sean Lipps | 3.2% | 3.8% | 4.2% | 4.8% | 5.2% | 6.7% | 6.9% | 7.1% | 10.3% | 11.5% | 11.7% | 12.5% | 8.7% | 3.3% |
| Samuel Groom | 6.7% | 8.3% | 8.3% | 7.8% | 8.7% | 8.6% | 9.8% | 10.2% | 9.2% | 8.8% | 6.3% | 4.5% | 2.1% | 0.5% |
| Ian Johnston | 1.8% | 2.1% | 1.8% | 3.4% | 3.4% | 4.2% | 5.1% | 5.5% | 6.3% | 8.6% | 12.1% | 15.2% | 19.4% | 11.0% |
| Nathaniel Holden | 4.9% | 5.9% | 6.9% | 6.2% | 7.5% | 7.8% | 9.0% | 9.7% | 10.8% | 11.1% | 8.8% | 7.0% | 3.6% | 0.7% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.