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📊 Prediction Accuracy
62.5%
Within 2 Positions
2.0
Avg Position Diff
16
Total Participants
🏁 Actual Results
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1Fordham University2.47+2.52vs Predicted
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2Colgate University1.69+3.19vs Predicted
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3Hobart and William Smith Colleges2.49+0.44vs Predicted
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4Cornell University1.61+1.51vs Predicted
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5Cornell University2.38-1.22vs Predicted
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6University of Rochester0.09+3.52vs Predicted
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7Queen's University1.18-0.39vs Predicted
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8Villanova University1.15-1.27vs Predicted
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9Syracuse University-0.22+1.33vs Predicted
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10University of Rochester0.09-0.48vs Predicted
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11Columbia University0.40-2.22vs Predicted
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12Ocean County College0.79-4.29vs Predicted
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13Penn State University-1.47+0.07vs Predicted
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14University of Toronto-1.09-1.64vs Predicted
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15Rutgers University-1.90-1.43vs Predicted
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17Drexel University-0.06-7.16vs Predicted
🎯 Predicted Standings
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3.52Fordham University2.470.2%1st Place
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5.19Colgate University1.690.1%1st Place
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3.44Hobart and William Smith Colleges2.490.2%1st Place
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5.51Cornell University1.610.1%1st Place
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3.78Cornell University2.380.2%1st Place
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9.52University of Rochester0.090.0%1st Place
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6.61Queen's University1.180.1%1st Place
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6.73Villanova University1.150.1%1st Place
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10.33Syracuse University-0.220.0%1st Place
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9.52University of Rochester0.090.0%1st Place
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8.78Columbia University0.400.0%1st Place
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7.71Ocean County College0.790.0%1st Place
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13.07Penn State University-1.470.0%1st Place
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12.36University of Toronto-1.090.0%1st Place
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13.57Rutgers University-1.900.0%1st Place
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9.84Drexel University-0.060.0%1st Place
Expected Outcome Heatmap (per Skipper)
| Skipper | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Keally | 21.3% | 19.0% | 16.1% | 13.6% | 10.9% | 7.7% | 5.2% | 3.9% | 1.1% | 1.0% | 0.2% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| Emily Bicks | 9.3% | 10.2% | 12.2% | 11.6% | 11.5% | 11.6% | 12.0% | 8.2% | 6.9% | 4.4% | 1.3% | 0.7% | 0.1% | 0.0% | 0.0% | 0.0% |
| William Godfrey | 21.7% | 18.3% | 17.8% | 12.5% | 11.9% | 8.4% | 4.6% | 3.2% | 1.0% | 0.6% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| Lindsay Gimple | 8.1% | 10.3% | 9.5% | 11.8% | 11.2% | 10.7% | 12.3% | 9.2% | 8.2% | 4.8% | 2.2% | 1.5% | 0.2% | 0.0% | 0.0% | 0.0% |
| Alex Woloshyn | 17.4% | 17.5% | 15.9% | 15.4% | 11.3% | 9.0% | 6.0% | 4.5% | 2.0% | 0.8% | 0.2% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| Matthew Pavlos | 1.4% | 2.2% | 3.1% | 2.4% | 3.7% | 4.7% | 5.6% | 8.4% | 11.0% | 11.8% | 15.7% | 13.1% | 10.8% | 4.7% | 1.4% | 0.0% |
| Nick Schwenger | 5.6% | 6.6% | 6.2% | 6.9% | 9.6% | 12.7% | 11.6% | 12.7% | 9.3% | 8.1% | 5.3% | 3.9% | 1.3% | 0.2% | 0.0% | 0.0% |
| David Alldian | 5.5% | 5.4% | 6.5% | 8.7% | 9.9% | 9.3% | 11.0% | 12.4% | 10.1% | 9.0% | 7.7% | 3.0% | 1.3% | 0.2% | 0.0% | 0.0% |
| Elliot Greenwald | 1.3% | 0.8% | 1.7% | 2.0% | 1.9% | 5.0% | 4.5% | 5.5% | 9.5% | 11.0% | 14.5% | 16.6% | 14.2% | 8.9% | 2.6% | 0.0% |
| Matthew Pavlos | 1.4% | 2.2% | 3.1% | 2.4% | 3.7% | 4.7% | 5.6% | 8.4% | 11.0% | 11.8% | 15.7% | 13.1% | 10.8% | 4.7% | 1.4% | 0.0% |
| Laura Maranto | 2.0% | 3.0% | 2.8% | 3.9% | 5.3% | 6.7% | 7.2% | 9.0% | 12.3% | 14.4% | 12.8% | 10.3% | 7.0% | 2.3% | 1.0% | 0.0% |
| Liam Boyle | 3.9% | 4.2% | 4.1% | 6.6% | 7.5% | 7.6% | 10.7% | 10.4% | 12.0% | 10.2% | 11.2% | 6.7% | 3.7% | 0.9% | 0.3% | 0.0% |
| Alexandra Polli | 0.7% | 0.3% | 0.4% | 0.4% | 0.8% | 0.3% | 1.3% | 1.6% | 2.2% | 3.7% | 4.6% | 8.5% | 16.9% | 28.6% | 29.7% | 0.0% |
| Christopher Thang | 0.3% | 0.1% | 0.7% | 0.6% | 1.2% | 1.5% | 2.2% | 3.5% | 3.6% | 4.7% | 7.5% | 12.6% | 18.8% | 25.2% | 17.5% | 0.0% |
| Daniel Klarnet | 0.2% | 0.2% | 0.4% | 0.5% | 0.2% | 0.7% | 0.8% | 1.0% | 2.0% | 3.1% | 2.9% | 5.5% | 13.0% | 23.6% | 45.9% | 0.0% |
| Jeffrey Proko | 1.3% | 1.9% | 2.6% | 3.1% | 3.1% | 4.1% | 5.0% | 6.5% | 8.8% | 12.4% | 13.9% | 17.6% | 12.7% | 5.4% | 1.6% | 0.0% |
Heatmap showing P(finish = rank) for each skipper. Darker cells = higher probability.