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📊 Prediction Accuracy
66.7%
Within 2 Positions
2.3
Avg Position Diff
12
Total Participants
🏁 Actual Results
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1California Poly Maritime Academy3.42+0.10vs Predicted
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2University of Southern California0.46+1.04vs Predicted
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3San Diego State University-0.87+2.23vs Predicted
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4University of California at Berkeley-0.86+1.22vs Predicted
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5University of California at Los Angeles-1.65+1.99vs Predicted
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6University of California at Irvine-1.96+1.77vs Predicted
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7University of California at Davis-2.38+1.55vs Predicted
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8University of California at Irvine-2.40+0.68vs Predicted
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10Arizona State University-3.03-0.03vs Predicted
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11University of California at San Diego-1.06-5.37vs Predicted
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13University of California at Irvine-2.22-4.54vs Predicted
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15Arizona State University-1.79-7.64vs Predicted
🎯 Predicted Standings
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1.1California Poly Maritime Academy3.420.9%1st Place
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3.04University of Southern California0.460.0%1st Place
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5.23San Diego State University-0.870.0%1st Place
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5.22University of California at Berkeley-0.860.0%1st Place
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6.99University of California at Los Angeles-1.650.0%1st Place
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7.77University of California at Irvine-1.960.0%1st Place
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8.55University of California at Davis-2.380.0%1st Place
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8.68University of California at Irvine-2.400.0%1st Place
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9.97Arizona State University-3.030.0%1st Place
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5.63University of California at San Diego-1.060.0%1st Place
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8.46University of California at Irvine-2.220.0%1st Place
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7.36Arizona State University-1.790.0%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tate Oyler | 90.4% | 8.8% | 0.7% | 0.1% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| Maximilian Conze | 3.2% | 40.6% | 27.5% | 14.9% | 7.5% | 5.0% | 0.8% | 0.3% | 0.1% | 0.1% | 0.0% | 0.0% |
| Rachael Tier | 1.6% | 10.9% | 13.9% | 16.6% | 12.9% | 14.2% | 11.8% | 9.1% | 5.6% | 2.2% | 0.8% | 0.4% |
| Alexander Kaslosas | 0.8% | 10.4% | 15.2% | 16.2% | 16.8% | 12.5% | 10.5% | 8.2% | 4.3% | 3.3% | 1.4% | 0.4% |
| Tommy Hofer | 0.5% | 5.2% | 7.0% | 9.5% | 9.7% | 11.5% | 12.4% | 11.3% | 10.5% | 10.6% | 7.6% | 4.2% |
| Jundai Nishida | 0.3% | 3.0% | 5.9% | 6.9% | 6.5% | 9.7% | 9.6% | 13.3% | 12.1% | 14.3% | 11.2% | 7.2% |
| Maksim Shikhaleev | 0.7% | 2.3% | 3.9% | 4.1% | 5.5% | 8.0% | 7.7% | 9.9% | 12.4% | 14.7% | 15.1% | 15.7% |
| Richard Kramer | 0.3% | 2.5% | 3.2% | 5.6% | 6.3% | 4.6% | 9.1% | 8.7% | 11.7% | 11.9% | 19.2% | 16.9% |
| Alexander Stellato | 0.2% | 0.7% | 2.1% | 1.2% | 2.9% | 4.0% | 4.4% | 7.3% | 9.6% | 11.7% | 17.9% | 38.0% |
| Zev Fort | 0.7% | 8.9% | 12.7% | 14.5% | 14.3% | 12.8% | 13.2% | 8.9% | 7.0% | 4.5% | 1.9% | 0.6% |
| Matthew Stank | 0.6% | 2.6% | 2.4% | 4.0% | 7.3% | 7.5% | 8.7% | 10.9% | 13.0% | 14.5% | 16.6% | 11.9% |
| Camden Wacha | 0.7% | 4.1% | 5.5% | 6.4% | 10.3% | 10.2% | 11.8% | 12.1% | 13.7% | 12.2% | 8.3% | 4.7% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.