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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 Academy0.91+2.58vs Predicted
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2California Poly Maritime Academy0.50+2.42vs Predicted
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3University of California at Los Angeles-0.61+4.62vs Predicted
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4University of California at Santa Cruz-0.99+4.81vs Predicted
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5University of California at Los Angeles0.11+0.71vs Predicted
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6Cal Poly University S.L.O.0.49-1.28vs Predicted
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7Cal Poly University S.L.O.0.33-2.16vs Predicted
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8University of California at Berkeley-1.14+1.08vs Predicted
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9California State University Channel Islands-2.28+2.88vs Predicted
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10San Diego State University-1.80+0.95vs Predicted
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11University of California at San Diego-1.07-1.92vs Predicted
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12Cal Poly University S.L.O.0.00-6.11vs Predicted
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13University of California at San Diego-1.71-2.44vs Predicted
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14University of California at Davis-0.72-6.14vs Predicted
🎯 Predicted Standings
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3.58California Poly Maritime Academy0.910.2%1st Place
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4.42California Poly Maritime Academy0.500.2%1st Place
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7.62University of California at Los Angeles-0.610.1%1st Place
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8.81University of California at Santa Cruz-0.990.0%1st Place
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5.71University of California at Los Angeles0.110.1%1st Place
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4.72Cal Poly University S.L.O.0.490.1%1st Place
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4.84Cal Poly University S.L.O.0.330.1%1st Place
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9.08University of California at Berkeley-1.140.0%1st Place
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11.88California State University Channel Islands-2.280.0%1st Place
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10.95San Diego State University-1.800.0%1st Place
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9.08University of California at San Diego-1.070.0%1st Place
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5.89Cal Poly University S.L.O.0.000.1%1st Place
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10.56University of California at San Diego-1.710.0%1st Place
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7.86University of California at Davis-0.720.0%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kyle Farmer | 21.7% | 20.2% | 15.6% | 11.2% | 11.0% | 7.3% | 4.7% | 4.6% | 1.8% | 1.2% | 0.4% | 0.2% | 0.1% | 0.0% |
| Kawika Tumilowicz | 15.9% | 14.2% | 12.8% | 11.5% | 12.2% | 10.7% | 8.8% | 6.4% | 3.0% | 2.5% | 0.8% | 0.9% | 0.3% | 0.0% |
| Jacob Matiyevsky | 5.0% | 4.6% | 6.1% | 6.1% | 6.5% | 6.7% | 9.9% | 9.2% | 11.3% | 11.7% | 10.2% | 7.7% | 3.6% | 1.4% |
| Ryan Martin | 1.9% | 3.2% | 3.9% | 5.2% | 4.8% | 6.3% | 6.3% | 9.0% | 10.5% | 12.2% | 11.8% | 12.8% | 7.4% | 4.7% |
| Zack Taylor | 7.8% | 9.6% | 10.7% | 11.4% | 9.1% | 11.3% | 11.2% | 8.5% | 7.9% | 6.2% | 3.1% | 2.2% | 0.8% | 0.2% |
| Jack Kisling | 13.4% | 12.2% | 14.8% | 11.2% | 11.7% | 9.9% | 9.7% | 5.9% | 4.8% | 3.3% | 2.0% | 0.7% | 0.3% | 0.1% |
| Ryan Milne | 12.3% | 13.2% | 11.9% | 11.7% | 11.4% | 10.5% | 10.4% | 7.4% | 5.0% | 3.8% | 1.9% | 0.0% | 0.5% | 0.0% |
| Victoria Chen | 2.8% | 3.4% | 3.6% | 4.9% | 3.9% | 5.6% | 5.3% | 7.9% | 9.7% | 9.8% | 12.0% | 12.8% | 12.4% | 5.9% |
| Kitana Barrus | 0.9% | 1.4% | 1.2% | 1.0% | 1.3% | 1.6% | 2.0% | 2.8% | 4.1% | 4.5% | 8.4% | 10.3% | 20.5% | 40.0% |
| Tegan Smith | 1.5% | 1.7% | 1.4% | 1.5% | 1.6% | 2.6% | 3.6% | 4.8% | 6.7% | 8.5% | 9.4% | 13.4% | 22.7% | 20.6% |
| Sean Lipps | 3.0% | 2.1% | 2.6% | 4.6% | 4.5% | 6.8% | 6.7% | 7.5% | 10.2% | 11.0% | 12.2% | 12.6% | 9.8% | 6.4% |
| Samuel Groom | 7.8% | 8.1% | 9.5% | 11.1% | 11.9% | 9.2% | 10.2% | 10.6% | 7.1% | 6.9% | 4.3% | 2.3% | 0.8% | 0.2% |
| Ian Johnston | 2.3% | 1.3% | 1.6% | 2.2% | 2.3% | 3.6% | 4.7% | 4.6% | 6.7% | 7.1% | 12.8% | 16.1% | 16.4% | 18.3% |
| Nathaniel Holden | 3.7% | 4.8% | 4.3% | 6.4% | 7.8% | 7.9% | 6.5% | 10.8% | 11.2% | 11.3% | 10.7% | 8.0% | 4.4% | 2.2% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.