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📊 Prediction Accuracy
26.7%
Within 2 Positions
2.7
Avg Position Diff
15
Total Participants
🏁 Actual Results
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1Hobart and William Smith Colleges2.49+2.48vs Predicted
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2Cornell University2.38+1.56vs Predicted
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3Villanova University1.15+3.47vs Predicted
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4Queen's University1.18+2.47vs Predicted
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5Columbia University0.40+3.48vs Predicted
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6Colgate University1.69-0.67vs Predicted
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7Drexel University-0.06+2.23vs Predicted
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8Cornell University1.61-2.67vs Predicted
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9Fordham University2.47-5.44vs Predicted
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10University of Rochester0.09-0.81vs Predicted
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11Penn State University-1.47+1.23vs Predicted
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12Ocean County College0.79-4.52vs Predicted
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13University of Rochester0.09-3.81vs Predicted
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14University of Toronto-1.09-2.54vs Predicted
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16Rutgers University-1.90-3.30vs Predicted
🎯 Predicted Standings
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3.48Hobart and William Smith Colleges2.490.2%1st Place
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3.56Cornell University2.380.2%1st Place
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6.47Villanova University1.150.1%1st Place
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6.47Queen's University1.180.0%1st Place
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8.48Columbia University0.400.0%1st Place
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5.33Colgate University1.690.1%1st Place
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9.23Drexel University-0.060.0%1st Place
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5.33Cornell University1.610.1%1st Place
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3.56Fordham University2.470.2%1st Place
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9.19University of Rochester0.090.0%1st Place
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12.23Penn State University-1.470.0%1st Place
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7.48Ocean County College0.790.0%1st Place
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9.19University of Rochester0.090.0%1st Place
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11.46University of Toronto-1.090.0%1st Place
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12.7Rutgers 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| William Godfrey | 21.4% | 20.0% | 17.0% | 12.2% | 10.4% | 8.3% | 5.2% | 2.6% | 2.0% | 0.2% | 0.6% | 0.1% | 0.0% | 0.0% | 0.0% |
| Alex Woloshyn | 18.6% | 19.6% | 17.5% | 13.6% | 12.8% | 8.3% | 3.8% | 3.2% | 1.6% | 0.6% | 0.4% | 0.0% | 0.0% | 0.0% | 0.0% |
| David Alldian | 5.4% | 5.9% | 7.7% | 9.4% | 7.2% | 10.7% | 13.5% | 13.5% | 9.5% | 10.5% | 4.5% | 1.7% | 0.5% | 0.0% | 0.0% |
| Nick Schwenger | 4.5% | 6.9% | 7.0% | 8.4% | 10.3% | 11.1% | 12.1% | 12.6% | 11.6% | 7.1% | 5.7% | 2.3% | 0.3% | 0.1% | 0.0% |
| Laura Maranto | 2.1% | 2.4% | 3.7% | 3.8% | 5.3% | 7.7% | 8.6% | 8.3% | 14.9% | 14.4% | 14.3% | 9.1% | 4.3% | 1.1% | 0.0% |
| Emily Bicks | 9.3% | 8.0% | 10.4% | 13.0% | 13.9% | 10.5% | 11.2% | 9.7% | 7.2% | 4.2% | 2.0% | 0.6% | 0.0% | 0.0% | 0.0% |
| Jeffrey Proko | 1.9% | 2.4% | 2.1% | 2.8% | 4.7% | 5.1% | 6.4% | 7.2% | 9.8% | 14.6% | 18.6% | 15.3% | 7.5% | 1.6% | 0.0% |
| Lindsay Gimple | 9.3% | 11.1% | 9.0% | 12.5% | 10.2% | 12.0% | 10.8% | 10.2% | 8.2% | 3.8% | 2.1% | 0.8% | 0.0% | 0.0% | 0.0% |
| Adam Keally | 20.4% | 17.2% | 17.0% | 15.1% | 11.7% | 7.8% | 5.4% | 2.5% | 2.3% | 0.3% | 0.1% | 0.2% | 0.0% | 0.0% | 0.0% |
| Matthew Pavlos | 2.1% | 1.6% | 2.6% | 2.2% | 2.6% | 6.1% | 6.6% | 9.5% | 11.7% | 16.3% | 17.0% | 13.6% | 6.2% | 1.9% | 0.0% |
| Alexandra Polli | 0.1% | 0.4% | 0.5% | 0.9% | 0.8% | 1.1% | 1.4% | 1.8% | 2.9% | 4.9% | 7.7% | 16.7% | 29.2% | 31.6% | 0.0% |
| Liam Boyle | 3.8% | 3.3% | 4.6% | 4.9% | 7.9% | 9.5% | 12.3% | 14.1% | 11.5% | 12.8% | 8.5% | 4.9% | 1.4% | 0.5% | 0.0% |
| Matthew Pavlos | 2.1% | 1.6% | 2.6% | 2.2% | 2.6% | 6.1% | 6.6% | 9.5% | 11.7% | 16.3% | 17.0% | 13.6% | 6.2% | 1.9% | 0.0% |
| Christopher Thang | 0.9% | 0.9% | 0.7% | 0.8% | 1.3% | 1.6% | 1.6% | 3.5% | 4.8% | 6.7% | 12.1% | 21.9% | 27.8% | 15.4% | 0.0% |
| Daniel Klarnet | 0.2% | 0.3% | 0.2% | 0.4% | 0.9% | 0.2% | 1.1% | 1.3% | 2.0% | 3.6% | 6.4% | 12.8% | 22.8% | 47.8% | 0.0% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.