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📊 Prediction Accuracy
35.7%
Within 2 Positions
2.1
Avg Position Diff
14
Total Participants
🏁 Actual Results
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1California Poly Maritime Academy0.86+3.71vs Predicted
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2California Poly Maritime Academy1.31+1.58vs Predicted
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3Cal Poly University S.L.O.0.72+2.02vs Predicted
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4Cal Poly University S.L.O.0.27+2.79vs Predicted
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5University of California at Los Angeles0.43+0.87vs Predicted
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6University of California at Santa Cruz-0.59+3.09vs Predicted
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7Cal Poly University S.L.O.0.83-2.27vs Predicted
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8University of California at Davis-0.19-0.80vs Predicted
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9University of California at Berkeley-0.56-0.50vs Predicted
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10University of California at Los Angeles-0.23-2.08vs Predicted
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11University of California at San Diego-0.58-2.67vs Predicted
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12California State University Channel Islands-2.40+0.59vs Predicted
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13San Diego State University-1.27-2.46vs Predicted
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14University of California at San Diego-1.13-3.86vs Predicted
🎯 Predicted Standings
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4.71California Poly Maritime Academy0.8613.8%1st Place
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3.58California Poly Maritime Academy1.3120.6%1st Place
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5.02Cal Poly University S.L.O.0.7212.1%1st Place
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6.79Cal Poly University S.L.O.0.276.2%1st Place
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5.87University of California at Los Angeles0.4310.6%1st Place
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9.09University of California at Santa Cruz-0.592.1%1st Place
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4.73Cal Poly University S.L.O.0.8313.6%1st Place
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7.2University of California at Davis-0.195.5%1st Place
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8.5University of California at Berkeley-0.563.8%1st Place
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7.92University of California at Los Angeles-0.234.5%1st Place
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8.33University of California at San Diego-0.583.3%1st Place
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12.59California State University Channel Islands-2.400.4%1st Place
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10.54San Diego State University-1.271.3%1st Place
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10.14University of California at San Diego-1.132.2%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kawika Tumilowicz | 13.8% | 13.4% | 12.4% | 12.7% | 10.6% | 10.5% | 8.8% | 6.7% | 4.7% | 3.5% | 1.8% | 0.9% | 0.1% | 0.1% |
| Kyle Farmer | 20.6% | 19.5% | 16.9% | 11.9% | 10.8% | 8.1% | 4.6% | 4.2% | 1.9% | 0.9% | 0.4% | 0.1% | 0.0% | 0.0% |
| Ryan Milne | 12.1% | 10.9% | 11.7% | 12.3% | 11.9% | 11.2% | 8.4% | 7.8% | 6.6% | 3.4% | 2.5% | 1.1% | 0.1% | 0.0% |
| Samuel Groom | 6.2% | 5.9% | 7.1% | 7.4% | 9.2% | 10.6% | 10.4% | 10.2% | 9.3% | 8.9% | 7.3% | 4.7% | 2.2% | 0.4% |
| Zack Taylor | 10.6% | 8.9% | 8.9% | 9.9% | 9.1% | 8.8% | 9.2% | 10.8% | 8.6% | 6.4% | 5.2% | 2.5% | 0.8% | 0.4% |
| Ryan Martin | 2.1% | 3.5% | 3.2% | 4.5% | 5.1% | 5.2% | 6.9% | 7.5% | 8.4% | 10.8% | 12.7% | 11.6% | 14.0% | 4.6% |
| Jack Kisling | 13.6% | 13.6% | 13.6% | 11.7% | 10.3% | 9.6% | 8.7% | 6.6% | 5.8% | 3.7% | 1.8% | 0.9% | 0.2% | 0.1% |
| Nathaniel Holden | 5.5% | 5.6% | 6.7% | 7.9% | 8.2% | 7.9% | 10.0% | 8.8% | 9.9% | 9.7% | 8.1% | 6.7% | 4.3% | 0.9% |
| Victoria Chen | 3.8% | 4.4% | 3.7% | 5.1% | 5.2% | 5.9% | 7.4% | 8.2% | 9.6% | 10.9% | 12.0% | 12.2% | 8.4% | 3.0% |
| Jacob Matiyevsky | 4.5% | 4.0% | 5.1% | 5.9% | 6.8% | 7.1% | 8.2% | 9.3% | 10.8% | 10.8% | 11.3% | 8.6% | 5.9% | 1.6% |
| Sean Lipps | 3.3% | 4.9% | 5.0% | 4.5% | 5.8% | 6.9% | 7.6% | 8.8% | 9.8% | 10.8% | 10.5% | 10.9% | 8.2% | 3.1% |
| Kitana Barrus | 0.4% | 0.7% | 0.9% | 1.4% | 0.8% | 1.7% | 1.1% | 1.8% | 2.2% | 3.1% | 4.1% | 7.6% | 14.3% | 59.9% |
| Tegan Smith | 1.3% | 2.1% | 2.0% | 2.5% | 3.0% | 3.0% | 4.5% | 4.3% | 6.2% | 7.0% | 11.4% | 16.3% | 22.8% | 13.6% |
| Ian Johnston | 2.2% | 2.5% | 2.9% | 2.5% | 3.3% | 3.4% | 4.0% | 5.2% | 6.5% | 9.9% | 10.7% | 15.7% | 18.9% | 12.4% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.