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📊 Prediction Accuracy
31.2%
Within 2 Positions
2.3
Avg Position Diff
16
Total Participants
🏁 Actual Results
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1Hobart and William Smith Colleges2.49+2.48vs Predicted
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2Cornell University2.38+1.63vs Predicted
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3Villanova University1.15+3.59vs Predicted
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4Queen's University1.18+2.67vs Predicted
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5Colgate University1.69+0.38vs Predicted
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6University of Rochester0.09+3.56vs Predicted
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7Fordham University2.47-3.49vs Predicted
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8Columbia University0.40+0.76vs Predicted
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9Cornell University1.61-3.56vs Predicted
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10Drexel University-0.06-0.04vs Predicted
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11Ocean County College0.79-3.25vs Predicted
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12University of Rochester0.09-2.44vs Predicted
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13Syracuse University-0.22-2.45vs Predicted
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14Penn State University-1.47-0.98vs Predicted
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15University of Toronto-1.09-2.79vs Predicted
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16Rutgers University-1.90-2.50vs Predicted
🎯 Predicted Standings
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3.48Hobart and William Smith Colleges2.490.2%1st Place
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3.63Cornell University2.380.2%1st Place
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6.59Villanova University1.150.1%1st Place
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6.67Queen's University1.180.0%1st Place
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5.38Colgate University1.690.1%1st Place
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9.56University of Rochester0.090.0%1st Place
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3.51Fordham University2.470.2%1st Place
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8.76Columbia University0.400.0%1st Place
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5.44Cornell University1.610.1%1st Place
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9.96Drexel University-0.060.0%1st Place
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7.75Ocean County College0.790.0%1st Place
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9.56University of Rochester0.090.0%1st Place
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10.55Syracuse University-0.220.0%1st Place
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13.02Penn State University-1.470.0%1st Place
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12.21University of Toronto-1.090.0%1st Place
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13.5Rutgers University-1.900.0%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| William Godfrey | 21.8% | 20.1% | 14.4% | 14.2% | 11.3% | 7.5% | 5.5% | 2.9% | 1.2% | 0.6% | 0.5% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| Alex Woloshyn | 19.5% | 18.7% | 15.8% | 14.1% | 10.7% | 10.0% | 4.7% | 3.5% | 2.0% | 0.7% | 0.3% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| David Alldian | 5.2% | 5.5% | 8.3% | 9.6% | 7.5% | 9.9% | 10.8% | 13.5% | 11.5% | 9.7% | 5.0% | 2.4% | 0.7% | 0.3% | 0.1% | 0.0% |
| Nick Schwenger | 4.7% | 5.7% | 6.8% | 9.6% | 10.1% | 9.9% | 11.6% | 10.2% | 12.2% | 8.5% | 6.1% | 2.8% | 1.3% | 0.5% | 0.0% | 0.0% |
| Emily Bicks | 9.5% | 10.1% | 9.3% | 10.7% | 11.1% | 14.1% | 12.2% | 7.9% | 7.2% | 4.6% | 2.1% | 0.9% | 0.3% | 0.0% | 0.0% | 0.0% |
| Matthew Pavlos | 1.8% | 2.2% | 2.0% | 3.0% | 3.9% | 4.1% | 7.3% | 6.5% | 9.5% | 14.1% | 14.0% | 14.9% | 9.7% | 5.6% | 1.4% | 0.0% |
| Adam Keally | 20.3% | 18.4% | 18.7% | 13.4% | 11.5% | 6.5% | 5.2% | 3.4% | 1.8% | 0.5% | 0.2% | 0.1% | 0.0% | 0.0% | 0.0% | 0.0% |
| Laura Maranto | 2.3% | 3.1% | 3.1% | 4.6% | 4.5% | 5.8% | 8.5% | 9.6% | 10.2% | 12.8% | 14.3% | 10.9% | 7.1% | 2.5% | 0.7% | 0.0% |
| Lindsay Gimple | 7.9% | 7.9% | 12.4% | 9.6% | 14.2% | 13.6% | 10.7% | 9.0% | 6.8% | 4.5% | 2.2% | 1.0% | 0.1% | 0.1% | 0.0% | 0.0% |
| Jeffrey Proko | 1.4% | 1.9% | 2.2% | 2.3% | 2.6% | 4.2% | 4.8% | 7.7% | 9.3% | 12.1% | 14.3% | 15.5% | 12.7% | 6.9% | 2.1% | 0.0% |
| Liam Boyle | 3.1% | 4.5% | 4.9% | 5.6% | 7.8% | 7.6% | 10.4% | 11.7% | 11.7% | 10.4% | 9.6% | 7.7% | 3.1% | 1.4% | 0.5% | 0.0% |
| Matthew Pavlos | 1.8% | 2.2% | 2.0% | 3.0% | 3.9% | 4.1% | 7.3% | 6.5% | 9.5% | 14.1% | 14.0% | 14.9% | 9.7% | 5.6% | 1.4% | 0.0% |
| Elliot Greenwald | 1.3% | 1.0% | 1.0% | 1.9% | 2.1% | 3.7% | 3.7% | 7.4% | 7.3% | 9.8% | 14.4% | 16.5% | 17.4% | 10.3% | 2.2% | 0.0% |
| Alexandra Polli | 0.3% | 0.1% | 0.2% | 0.5% | 0.7% | 1.0% | 1.3% | 2.4% | 3.5% | 3.1% | 5.3% | 8.7% | 15.8% | 26.5% | 30.6% | 0.0% |
| Christopher Thang | 0.6% | 0.7% | 0.3% | 0.5% | 1.3% | 1.6% | 2.5% | 2.3% | 4.2% | 6.2% | 7.8% | 13.2% | 20.0% | 22.3% | 16.5% | 0.0% |
| Daniel Klarnet | 0.3% | 0.1% | 0.6% | 0.4% | 0.7% | 0.5% | 0.8% | 2.0% | 1.6% | 2.4% | 3.9% | 5.4% | 11.8% | 23.6% | 45.9% | 0.0% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.