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📊 Prediction Accuracy
42.9%
Within 2 Positions
2.6
Avg Position Diff
14
Total Participants
🏁 Actual Results
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1California Poly Maritime Academy0.91+2.53vs Predicted
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2Cal Poly University S.L.O.0.33+2.79vs Predicted
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3California Poly Maritime Academy0.50+1.46vs Predicted
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4University of California at Santa Cruz-0.99+4.63vs Predicted
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5University of California at Los Angeles-0.61+2.66vs Predicted
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6Cal Poly University S.L.O.0.49-1.34vs Predicted
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7University of California at San Diego-1.07+1.53vs Predicted
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8San Diego State University-1.80+2.59vs Predicted
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9University of California at Los Angeles0.11-3.45vs Predicted
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10University of California at Berkeley-1.54+0.16vs Predicted
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11Cal Poly University S.L.O.0.00-5.13vs Predicted
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12University of California at San Diego-1.71-1.48vs Predicted
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13University of California at Davis-0.72-5.19vs Predicted
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14California State University Channel Islands-2.60-1.75vs Predicted
🎯 Predicted Standings
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3.53California Poly Maritime Academy0.910.2%1st Place
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4.79Cal Poly University S.L.O.0.330.1%1st Place
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4.46California Poly Maritime Academy0.500.1%1st Place
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8.63University of California at Santa Cruz-0.990.0%1st Place
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7.66University of California at Los Angeles-0.610.0%1st Place
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4.66Cal Poly University S.L.O.0.490.1%1st Place
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8.53University of California at San Diego-1.070.0%1st Place
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10.59San Diego State University-1.800.0%1st Place
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5.55University of California at Los Angeles0.110.1%1st Place
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10.16University of California at Berkeley-1.540.0%1st Place
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5.87Cal Poly University S.L.O.0.000.1%1st Place
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10.52University of California at San Diego-1.710.0%1st Place
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7.81University of California at Davis-0.720.0%1st Place
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12.25California State University Channel Islands-2.600.0%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kyle Farmer | 21.5% | 20.8% | 15.3% | 13.2% | 10.3% | 6.7% | 5.3% | 2.8% | 2.5% | 0.9% | 0.3% | 0.4% | 0.0% | 0.0% |
| Ryan Milne | 12.8% | 13.7% | 11.4% | 11.9% | 10.7% | 11.2% | 11.5% | 5.7% | 5.0% | 3.0% | 1.9% | 0.8% | 0.4% | 0.0% |
| Kawika Tumilowicz | 14.7% | 14.4% | 13.2% | 12.5% | 11.9% | 10.7% | 7.3% | 6.8% | 4.5% | 1.8% | 1.7% | 0.3% | 0.2% | 0.0% |
| Ryan Martin | 2.3% | 3.5% | 4.4% | 4.0% | 5.9% | 6.5% | 7.2% | 8.8% | 10.3% | 11.0% | 14.4% | 11.5% | 6.8% | 3.4% |
| Jacob Matiyevsky | 3.8% | 4.7% | 5.8% | 5.7% | 7.5% | 8.9% | 8.3% | 9.5% | 12.3% | 11.6% | 9.0% | 7.1% | 4.5% | 1.3% |
| Jack Kisling | 13.3% | 12.7% | 14.7% | 11.9% | 10.8% | 10.7% | 8.2% | 7.3% | 5.4% | 3.0% | 1.5% | 0.4% | 0.1% | 0.0% |
| Sean Lipps | 3.3% | 3.2% | 4.5% | 5.6% | 5.0% | 5.8% | 7.1% | 9.5% | 9.8% | 12.2% | 10.9% | 11.0% | 9.4% | 2.7% |
| Tegan Smith | 1.8% | 1.4% | 2.5% | 2.3% | 2.2% | 3.8% | 3.2% | 5.1% | 5.8% | 7.9% | 11.8% | 15.8% | 19.3% | 17.1% |
| Zack Taylor | 9.4% | 9.5% | 10.1% | 10.2% | 12.5% | 11.0% | 10.1% | 8.7% | 6.6% | 6.1% | 3.1% | 2.5% | 0.2% | 0.0% |
| Viola Phillips Frank | 2.2% | 2.0% | 1.6% | 2.2% | 2.1% | 4.1% | 5.3% | 6.8% | 7.6% | 9.9% | 11.8% | 16.0% | 17.1% | 11.3% |
| Samuel Groom | 8.9% | 7.0% | 9.7% | 10.5% | 10.3% | 10.9% | 11.7% | 9.0% | 9.2% | 5.5% | 4.4% | 2.1% | 0.8% | 0.0% |
| Ian Johnston | 1.4% | 1.1% | 1.8% | 3.1% | 2.0% | 2.5% | 4.7% | 5.3% | 6.8% | 10.5% | 12.5% | 16.0% | 17.6% | 14.7% |
| Nathaniel Holden | 4.2% | 5.3% | 4.2% | 6.0% | 6.9% | 6.2% | 8.4% | 13.0% | 10.6% | 10.7% | 10.1% | 8.0% | 4.4% | 2.0% |
| Liam Moran | 0.4% | 0.7% | 0.8% | 0.9% | 1.9% | 1.0% | 1.7% | 1.7% | 3.6% | 5.9% | 6.6% | 8.1% | 19.2% | 47.5% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.