Georgia Tech Campus Recreation Center - Atlanta, GA, USA
Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.
| # | Name | Number of victories | ||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | ||
| 1 | ANDREEV Ilia | - | - | 3% | 16% | 35% | 35% | 11% |
| 2 | MELLONE Carl (Carlo) J. | - | - | - | - | 5% | 38% | 56% |
| 3 | XUE Alexander | - | - | 2% | 12% | 33% | 38% | 16% |
| 3 | DOARES Andrew | - | - | - | - | 5% | 29% | 65% |
| 5 | SILVA Daniel | - | - | - | 7% | 51% | 42% | |
| 6 | HONG Steven | - | - | 2% | 12% | 40% | 46% | |
| 7 | SCHNEIDER Allen J. | - | - | 4% | 19% | 37% | 32% | 8% |
| 8 | ARDOIN Cameron | - | - | 1% | 12% | 40% | 38% | 8% |
| 9 | PENTON Robert | - | - | - | 5% | 21% | 42% | 31% |
| 10 | SEOL Kyung | - | - | 1% | 6% | 30% | 51% | 12% |
| 11 | AN Damon | - | - | 4% | 17% | 36% | 33% | 9% |
| 12 | ANAND Rohan | 1% | 8% | 26% | 36% | 23% | 6% | - |
| 13 | KELLNER Taylor T. | - | - | - | - | 6% | 33% | 60% |
| 14 | SHANKWILER Christopher | - | 5% | 23% | 38% | 26% | 7% | - |
| 15 | DELARUE Nelson Y. | - | - | 1% | 6% | 27% | 44% | 22% |
| 16 | LISSO Ria A. | - | - | 4% | 19% | 38% | 30% | 8% |
| 17 | SCHUTZ Katherine G. | - | - | 3% | 12% | 30% | 37% | 18% |
| 18 | EDWARDS Darby | - | 3% | 14% | 34% | 36% | 14% | |
| 19 | PALEO Gabriella | 1% | 8% | 34% | 39% | 17% | 2% | |
| 20 | MONTALVO Ashur | 3% | 21% | 44% | 26% | 5% | - | |
| 21 | GRAHAM Ian | - | 1% | 7% | 28% | 42% | 22% | 2% |
| 22 | ORLOFSKY Sydney | - | 1% | 36% | 47% | 15% | 1% | - |
| 23 | JAYASANKAR Hari | - | - | 4% | 24% | 42% | 25% | 5% |
| 24 | MONTALVO Emmeric | - | 6% | 28% | 46% | 18% | 2% | |
| 25 | HARDISON Terry (Reno) | - | 4% | 18% | 35% | 30% | 11% | 1% |
| 26 | BRUNER Thomas | - | 6% | 26% | 39% | 23% | 5% | - |
| 27 | VAN NIMWEGEN Nicholas | 19% | 38% | 29% | 11% | 2% | - | - |
| 28 | JARDIM Kyle A. | - | - | 4% | 18% | 37% | 32% | 9% |
| 28 | SCHIPPER Bonnie | 10% | 39% | 35% | 13% | 2% | - | - |
| 30 | MUSSELMAN Matthew | 8% | 33% | 42% | 15% | 2% | - | - |
| 31 | GIBBS Mason | 1% | 7% | 25% | 39% | 25% | 4% | |
| 32 | BURLESON Aidan J. | 2% | 28% | 42% | 23% | 5% | 1% | - |
| 33 | LOFGREN Reese | - | 2% | 15% | 39% | 34% | 9% | 1% |
| 34 | RYAN Alyssa | 40% | 42% | 15% | 2% | - | - | - |
| 35 | HAGEN Samuel | 1% | 9% | 34% | 45% | 10% | 1% | |
| 36 | CHRISTY Alex | 8% | 46% | 36% | 9% | 1% | - | |
| 37 | QI Parker | - | 1% | 8% | 29% | 38% | 20% | 4% |
| 38 | PROUDNIK Anthony | - | 1% | 10% | 31% | 37% | 18% | 3% |
| 39 | TRUBEY Elise | 11% | 31% | 35% | 19% | 5% | 1% | - |
| 40 | WANG Andy | 30% | 48% | 20% | 2% | - | - | - |
| 41 | MERRIMAN Morgan | - | 1% | 11% | 36% | 38% | 12% | 1% |
| 41 | NAWAZ Taimoor | 10% | 39% | 37% | 12% | 1% | - | - |
| 41 | THACKERAY Caden | 3% | 22% | 40% | 27% | 8% | 1% | - |
| 44 | YU Johnathan | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 45 | MCCLURE Morgan | 59% | 33% | 7% | 1% | - | - | - |
| 46 | ADAMSON Garren | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 47 | HARKONEN Eemil | 27% | 44% | 24% | 5% | - | - | |
| 48 | BALLOU Johnathan | - | 2% | 14% | 38% | 34% | 11% | 1% |
| 49 | BOWMAN Tamara E. | 26% | 44% | 24% | 5% | - | - | |
| 50 | CROWLEY James | 2% | 12% | 31% | 35% | 17% | 3% | - |
| 51 | MEYERS Lucas | 19% | 51% | 25% | 5% | - | - | - |
| 52 | WOLF Gabriel | - | 4% | 18% | 36% | 32% | 10% | - |
| 53 | STRAW Miles | - | 5% | 21% | 36% | 27% | 9% | 1% |
| 54 | LIONBERGER Gillian | 43% | 43% | 13% | 1% | - | - | - |
| 55 | PRUITT Jadie | 43% | 41% | 14% | 2% | - | - | - |
| 56 | CROSS Phoenix | 8% | 29% | 36% | 21% | 6% | 1% | - |
| 57 | STEWART Madeline | 22% | 46% | 26% | 6% | 1% | - | |
| 58 | TAYLOR Kathleen | 13% | 44% | 36% | 6% | - | - | - |
| 60 | MOORE Noah | 3% | 17% | 34% | 31% | 12% | 1% | - |
| 61 | HARPER Rebecca | 13% | 36% | 34% | 14% | 2% | - | - |
| 61 | BRANNER Christian | 8% | 34% | 41% | 14% | 2% | - | - |
The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:
This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.