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📊 Prediction Accuracy
53.3%
Within 2 Positions
2.7
Avg Position Diff
15
Total Participants
🏁 Actual Results
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1Northeastern University0.50+2.45vs Predicted
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2University of California at Berkeley-0.09+3.37vs Predicted
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3Cal Poly University S.L.O.0.27+1.88vs Predicted
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4University of California at Los Angeles-1.09+4.39vs Predicted
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5University of California at Irvine-0.36+2.32vs Predicted
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6University of California at Irvine-0.88+1.34vs Predicted
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7Cal Poly University S.L.O.-1.17+1.09vs Predicted
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8University of California at Irvine-1.36+0.97vs Predicted
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9University of California at Los Angeles-1.99+1.50vs Predicted
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10University of California at Davis-1.95+0.70vs Predicted
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11Cal Poly University S.L.O.-1.83-0.62vs Predicted
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12University of California at Davis-1.84-1.56vs Predicted
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13University of California at Santa Cruz0.07-8.60vs Predicted
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14University of California at Irvine-1.42-4.64vs Predicted
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15University of California at Los Angeles-1.82-4.57vs Predicted
🎯 Predicted Standings
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3.45Northeastern University0.5023.7%1st Place
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5.37University of California at Berkeley-0.099.8%1st Place
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4.88Cal Poly University S.L.O.0.2713.5%1st Place
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8.39University of California at Los Angeles-1.094.2%1st Place
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7.32University of California at Irvine-0.364.9%1st Place
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7.34University of California at Irvine-0.885.5%1st Place
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8.09Cal Poly University S.L.O.-1.174.9%1st Place
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8.97University of California at Irvine-1.363.8%1st Place
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10.5University of California at Los Angeles-1.992.1%1st Place
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10.7University of California at Davis-1.952.4%1st Place
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10.38Cal Poly University S.L.O.-1.831.8%1st Place
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10.44University of California at Davis-1.842.1%1st Place
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4.4University of California at Santa Cruz0.0715.9%1st Place
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9.36University of California at Irvine-1.423.4%1st Place
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10.43University of California at Los Angeles-1.822.2%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Carter Anderson | 23.7% | 19.2% | 16.4% | 12.5% | 9.8% | 6.7% | 5.1% | 3.3% | 1.6% | 1.1% | 0.4% | 0.2% | 0.1% | 0.0% | 0.0% |
| Ethan Lisle | 9.8% | 11.5% | 11.5% | 11.4% | 10.8% | 11.5% | 9.0% | 7.8% | 5.3% | 4.4% | 2.9% | 2.1% | 1.4% | 0.5% | 0.2% |
| Samuel Groom | 13.5% | 12.2% | 12.0% | 13.1% | 10.5% | 10.0% | 8.8% | 7.2% | 4.9% | 3.1% | 2.9% | 1.5% | 0.4% | 0.1% | 0.0% |
| Liam Williams | 4.2% | 4.8% | 5.1% | 5.0% | 6.9% | 7.0% | 6.8% | 8.6% | 9.1% | 9.1% | 8.2% | 7.8% | 8.6% | 5.6% | 3.4% |
| Nikita Swatek | 4.9% | 6.5% | 7.6% | 7.5% | 7.8% | 8.3% | 8.1% | 9.4% | 9.2% | 8.2% | 8.3% | 5.8% | 4.5% | 2.5% | 1.4% |
| Nejan Gunawardena | 5.5% | 6.8% | 6.6% | 7.5% | 7.5% | 7.5% | 9.0% | 9.6% | 9.3% | 8.2% | 7.1% | 6.8% | 4.4% | 2.8% | 1.4% |
| Mira Shupe | 4.9% | 4.7% | 6.0% | 5.2% | 6.6% | 7.6% | 8.0% | 8.1% | 9.4% | 9.1% | 8.9% | 7.4% | 6.3% | 4.2% | 3.5% |
| Matthew Stank | 3.8% | 3.4% | 4.1% | 5.5% | 5.8% | 5.5% | 6.4% | 7.5% | 8.7% | 8.6% | 9.2% | 9.4% | 9.6% | 6.4% | 6.1% |
| Alexandra Toaxen | 2.1% | 2.3% | 2.5% | 3.6% | 4.1% | 4.2% | 5.6% | 5.6% | 5.9% | 7.0% | 7.0% | 8.6% | 11.0% | 14.1% | 16.6% |
| Chloe Lighterink | 2.4% | 2.4% | 2.8% | 2.2% | 3.6% | 3.4% | 4.8% | 5.1% | 5.2% | 7.3% | 8.0% | 10.3% | 11.3% | 14.6% | 16.6% |
| Paul Munsell | 1.8% | 3.0% | 3.2% | 2.6% | 4.5% | 4.4% | 4.4% | 5.3% | 5.9% | 7.0% | 8.5% | 11.5% | 10.8% | 13.8% | 13.4% |
| Nathan Baer | 2.1% | 2.5% | 2.4% | 3.4% | 3.7% | 4.1% | 4.9% | 5.9% | 7.0% | 7.0% | 9.0% | 9.3% | 10.3% | 13.6% | 14.8% |
| Caden Domingo | 15.9% | 14.9% | 13.7% | 13.5% | 10.2% | 9.4% | 7.4% | 4.5% | 5.1% | 3.1% | 1.2% | 0.8% | 0.2% | 0.1% | 0.1% |
| Gennis Marie Pilapil | 3.4% | 3.6% | 3.5% | 4.2% | 4.3% | 5.6% | 6.8% | 7.1% | 6.6% | 9.6% | 9.6% | 9.6% | 9.8% | 9.3% | 7.1% |
| Katherine Smith | 2.2% | 2.4% | 2.8% | 2.8% | 3.9% | 4.8% | 5.1% | 5.1% | 6.8% | 7.1% | 9.0% | 8.9% | 11.4% | 12.4% | 15.5% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.