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📊 Prediction Accuracy
42.9%
Within 2 Positions
2.9
Avg Position Diff
14
Total Participants
🏁 Actual Results
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1Stanford University2.61+2.04vs Predicted
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2University of California at Berkeley0.98+6.07vs Predicted
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3Western Washington University0.67+5.64vs Predicted
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4University of Hawaii1.70+1.95vs Predicted
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5Cal Poly University S.L.O.1.13+2.75vs Predicted
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6University of California at Los Angeles1.79-0.53vs Predicted
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7Boston University0.86+0.61vs Predicted
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8University of California at Santa Cruz0.86+0.96vs Predicted
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9California Poly Maritime Academy1.20-2.17vs Predicted
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10University of California at San Diego0.68-1.70vs Predicted
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11University of California at Santa Barbara2.04-7.25vs Predicted
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12University of Southern California0.90-4.31vs Predicted
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13Arizona State University0.74-3.32vs Predicted
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14University of California at Irvine-1.81-0.77vs Predicted
🎯 Predicted Standings
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3.04Stanford University2.6127.8%1st Place
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8.07University of California at Berkeley0.984.3%1st Place
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8.64Western Washington University0.673.9%1st Place
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5.95University of Hawaii1.707.2%1st Place
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7.75Cal Poly University S.L.O.1.134.8%1st Place
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5.47University of California at Los Angeles1.798.7%1st Place
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7.61Boston University0.865.1%1st Place
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8.96University of California at Santa Cruz0.862.3%1st Place
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6.83California Poly Maritime Academy1.205.5%1st Place
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8.3University of California at San Diego0.684.2%1st Place
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3.75University of California at Santa Barbara2.0419.5%1st Place
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7.69University of Southern California0.904.6%1st Place
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9.68Arizona State University0.742.1%1st Place
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13.23University of California at Irvine-1.810.1%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Michelle Lahrkamp | 27.8% | 21.3% | 16.0% | 13.0% | 9.2% | 6.2% | 3.5% | 2.1% | 0.9% | 0.2% | 0.0% | 0.0% | 0.0% | 0.0% |
| Nate Ingebritson | 4.3% | 4.6% | 4.7% | 5.7% | 6.2% | 7.5% | 8.2% | 8.4% | 9.4% | 11.1% | 9.8% | 10.0% | 8.1% | 2.0% |
| Dalton Lovett | 3.9% | 4.0% | 4.0% | 4.9% | 6.6% | 5.2% | 6.7% | 7.3% | 8.8% | 10.4% | 10.3% | 12.3% | 12.4% | 3.1% |
| Owen Lahr | 7.2% | 9.8% | 10.6% | 9.6% | 10.6% | 9.8% | 9.8% | 8.5% | 7.8% | 6.8% | 4.4% | 3.2% | 1.7% | 0.2% |
| Kai Ponting | 4.8% | 4.8% | 5.8% | 6.5% | 7.1% | 7.8% | 7.6% | 9.4% | 9.8% | 9.3% | 9.7% | 9.7% | 6.7% | 1.1% |
| Grant Janov | 8.7% | 10.0% | 10.8% | 11.8% | 11.4% | 11.1% | 10.1% | 9.2% | 6.6% | 4.5% | 3.7% | 1.8% | 0.4% | 0.0% |
| Benjamin Luu | 5.1% | 5.0% | 5.9% | 6.6% | 6.9% | 7.6% | 9.4% | 9.7% | 9.8% | 9.1% | 9.0% | 8.8% | 6.3% | 0.9% |
| Blake Roberts | 2.3% | 2.9% | 4.0% | 5.3% | 5.3% | 5.3% | 6.9% | 7.5% | 8.3% | 11.0% | 10.8% | 12.8% | 13.9% | 3.6% |
| Ryan Downey | 5.5% | 6.5% | 7.6% | 8.7% | 8.6% | 10.2% | 9.5% | 10.0% | 8.8% | 7.6% | 7.7% | 5.0% | 3.7% | 0.7% |
| Noah Barton | 4.2% | 5.3% | 5.3% | 5.0% | 5.8% | 6.5% | 6.9% | 7.0% | 8.8% | 9.7% | 10.9% | 11.5% | 10.3% | 2.8% |
| Chris Kayda | 19.5% | 18.6% | 15.9% | 12.3% | 10.8% | 8.5% | 5.9% | 3.7% | 2.6% | 1.1% | 0.8% | 0.2% | 0.0% | 0.0% |
| Morgana Manti | 4.6% | 4.7% | 6.0% | 7.1% | 6.4% | 8.4% | 8.2% | 9.8% | 9.5% | 9.2% | 9.7% | 8.1% | 7.1% | 1.2% |
| Aidan Boylan | 2.1% | 2.2% | 3.2% | 3.0% | 4.2% | 5.1% | 6.3% | 6.4% | 7.6% | 8.2% | 10.9% | 13.0% | 21.6% | 6.2% |
| Sriskandha Kandimalla | 0.1% | 0.2% | 0.3% | 0.6% | 0.9% | 0.9% | 0.9% | 1.1% | 1.1% | 1.8% | 2.4% | 3.6% | 8.0% | 78.1% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.