Floyd Little Athletic Center - New Haven, CT, 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 | HANSEN Jonas B. | - | - | - | - | 1% | 16% | 83% |
| 2 | CHONG christopher | - | - | 1% | 7% | 30% | 46% | 16% |
| 3 | GOHEL Dayus T. | - | - | - | 3% | 19% | 43% | 34% |
| 3 | LONCAR Luka E. | - | - | 1% | 5% | 21% | 42% | 32% |
| 5 | MELCHER Jack H. | - | - | 3% | 17% | 43% | 38% | |
| 6 | DOSS David A. | - | - | - | 1% | 8% | 39% | 52% |
| 7 | GAO Daniel | - | 2% | 12% | 37% | 37% | 12% | |
| 8 | WU Joseph | - | - | 2% | 15% | 41% | 42% | |
| 9 | JONES Simon A. | - | - | - | - | 6% | 34% | 59% |
| 10 | KNOX James | - | 2% | 14% | 35% | 34% | 14% | 2% |
| 10 | JIN Owen | - | - | - | 4% | 22% | 44% | 30% |
| 12 | ALFAIATE Lucas | - | - | 2% | 13% | 35% | 38% | 13% |
| 13 | PARK Frederick | - | 1% | 18% | 44% | 32% | 5% | - |
| 14 | KUMAR Aidan | 2% | 14% | 36% | 34% | 13% | 1% | |
| 15 | PRIHODKO Max | 1% | 10% | 33% | 39% | 15% | 2% | |
| 16 | BEDOR William J. | - | < 1% | 1% | 12% | 40% | 46% | |
| 17 | ZAFFT Maximo S. | - | - | - | 1% | 9% | 36% | 54% |
| 18 | INSLER Ethan C. | - | - | - | 4% | 21% | 43% | 31% |
| 19 | SERAFIN Ben | - | 2% | 14% | 33% | 34% | 15% | 2% |
| 20 | ROLLO Emmett H. | 1% | 13% | 37% | 35% | 13% | 2% | |
| 21 | LANGTON Sawyer | - | 3% | 16% | 34% | 32% | 13% | 2% |
| 22 | SIMPSON Patrick | - | 3% | 15% | 37% | 32% | 11% | 1% |
| 23 | RHYU Kozmo | - | - | - | 3% | 17% | 42% | 38% |
| 24 | FERGUSON Magnus K. | - | 4% | 18% | 38% | 33% | 8% | |
| 25 | JANKOWICH Alexander E. | 3% | 19% | 36% | 30% | 11% | 2% | |
| 26 | SHA Michael | 10% | 37% | 36% | 14% | 2% | - | |
| 27 | LONGSTREET Jeffrey | 1% | 9% | 32% | 39% | 17% | 2% | |
| 28 | HE Lawrence | - | - | 5% | 24% | 44% | 26% | |
| 29 | ZHANG Zixian (Shawn) | - | 12% | 34% | 35% | 16% | 3% | - |
| 30 | DUBINSKY Scott | - | - | 2% | 13% | 41% | 40% | 4% |
| 31 | WU Jonathan | - | 1% | 12% | 36% | 38% | 13% | - |
| 32 | CHOI Mason | - | - | 4% | 20% | 40% | 29% | 7% |
| 33 | ZHANG William | - | 2% | 13% | 32% | 37% | 16% | |
| 34 | KIM Byung | - | - | 3% | 18% | 38% | 32% | 8% |
| 35 | COLLYMORE Spencer T. | - | - | 3% | 17% | 40% | 34% | 7% |
| 36 | MACARTY Jordan T. | - | 5% | 23% | 40% | 27% | 5% | |
| 37 | BARREIRO Darren | - | 1% | 6% | 26% | 43% | 24% | |
| 38 | MCCOMISKEY Aiden J. | - | 1% | 8% | 25% | 38% | 24% | 4% |
| 39 | RICHARDS Daniel T. | - | 1% | 7% | 24% | 38% | 25% | 6% |
| 39 | MISHIMA Torata | - | - | 3% | 17% | 36% | 34% | 9% |
| 41 | PARK Nicholas | 1% | 12% | 37% | 36% | 13% | 2% | - |
| 42 | KOBI Samuel | - | 1% | 7% | 27% | 41% | 22% | 3% |
| 43 | LI Sui Lun (Phillip) | - | 1% | 10% | 28% | 36% | 21% | 4% |
| 44 | BASOK Nikita | - | 5% | 20% | 36% | 29% | 10% | 1% |
| 45 | RICHARD Owen | - | 3% | 16% | 38% | 35% | 9% | |
| 46 | JIANG ryan | 11% | 42% | 35% | 11% | 1% | - | |
| 47 | MAHESH Tarun | 5% | 25% | 41% | 23% | 5% | - | |
| 48 | PERSAUD Daivik | 2% | 14% | 33% | 33% | 15% | 3% | |
| 49 | SWANSON Lars M. | 1% | 8% | 30% | 39% | 20% | 3% | |
| 50 | DOLMETSCH Max | - | 4% | 19% | 40% | 30% | 7% | |
| 51 | PETROV Niki A. | 5% | 40% | 39% | 14% | 2% | - | - |
| 51 | LAI Aedin | - | 5% | 22% | 37% | 27% | 8% | 1% |
| 53 | SHEN Max | - | - | 4% | 19% | 39% | 30% | 8% |
| 54 | LIEF Isaac R. | - | - | 4% | 20% | 38% | 30% | 7% |
| 55 | ZHAO Luhan | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 56 | PALLADINO Ben T. | 7% | 32% | 41% | 17% | 3% | - | - |
| 57 | CAI Brian | - | - | 6% | 26% | 45% | 23% | |
| 58 | ANDERSON Brendan P. | - | 1% | 8% | 32% | 42% | 16% | |
| 59 | BELLIVEAU Raven C. | - | 4% | 17% | 35% | 33% | 11% | |
| 60 | NOP Will H. | 14% | 40% | 34% | 11% | 1% | - | |
| 61 | NIKOLOV Peter | - | 4% | 19% | 36% | 29% | 10% | 1% |
| 62 | REDDY Arya | 47% | 39% | 12% | 2% | - | - | |
| 63 | SKAALAND Will | 1% | 12% | 32% | 35% | 17% | 3% | |
| 64 | BEALS Alden | 19% | 45% | 28% | 7% | 1% | - | |
| 65 | O'HARROW Tristan C. | - | 4% | 23% | 40% | 25% | 7% | 1% |
| 66 | PAHLAVI Kamran | 2% | 19% | 40% | 29% | 8% | 1% | - |
| 67 | TORRES Gianni | 10% | 37% | 35% | 14% | 3% | - | - |
| 68 | WU Marcus | 1% | 13% | 38% | 34% | 12% | 2% | - |
| 69 | HONG James | 2% | 19% | 37% | 29% | 11% | 2% | - |
| 70 | CHEN Jun Ho | - | 8% | 38% | 38% | 14% | 2% | - |
| 71 | STEVENS James F. | - | 6% | 27% | 40% | 23% | 4% | |
| 72 | OSTIGUY Cameron | 10% | 36% | 38% | 14% | 2% | - | |
| 73 | DORASZELSKI Mark | 40% | 43% | 14% | 2% | - | - | |
| 74 | LAI Boden | 30% | 45% | 21% | 4% | - | - | |
| 75 | WARD Carrington R. | 2% | 25% | 41% | 25% | 7% | 1% | - |
| 76 | AYALA Jaime | - | 5% | 24% | 40% | 24% | 5% | - |
| 77 | LIU Jeremiah W. | 50% | 38% | 10% | 1% | - | - | - |
| 78 | GULLO Kenji Y. | 1% | 12% | 33% | 34% | 16% | 3% | - |
| 79 | GRAYSON Joshua | 37% | 46% | 15% | 2% | - | - | - |
| 80 | DEPOMMIER Remi | - | 2% | 13% | 35% | 37% | 13% | 1% |
| 80 | SAVORETTI Francesco | - | 6% | 27% | 41% | 22% | 4% | - |
| 82 | FENG Du | 28% | 44% | 23% | 5% | - | - | |
| 83 | PAPSUN Benjamin J. | 44% | 41% | 13% | 2% | - | - | |
| 84 | SANTOS Felipe | 2% | 16% | 35% | 32% | 13% | 2% | - |
| 85 | PAN Anthony | 76% | 22% | 2% | - | - | - | - |
| 86 | LIN Zizhen | 54% | 37% | 8% | 1% | - | - | - |
| 87 | RITTERSHAUS Bryce | 50% | 42% | 8% | - | - | - | - |
| 87 | WANG justin | 11% | 37% | 37% | 13% | 2% | - | - |
| 89 | WONG King-Yee | 60% | 33% | 7% | 1% | - | - | - |
| 90 | HU Robert J. | 27% | 48% | 21% | 4% | - | - | - |
| 91 | CAFASSO Martin | 8% | 34% | 39% | 17% | 3% | - | - |
| 92 | MCGRANE-MOFFITT Nolan A. | 10% | 39% | 36% | 13% | 2% | - | - |
| 93 | GAO "George" Xiaojiang | 48% | 39% | 11% | 2% | - | - | - |
| 94 | HANSARD Jess | 28% | 53% | 17% | 2% | - | - | - |
| 95 | BELLIVEAU Shane | 18% | 43% | 30% | 8% | 1% | - | |
| 96 | STELTENKAMP Neal | 42% | 42% | 14% | 2% | - | - | - |
| 97 | ALI Adam | 4% | 26% | 41% | 23% | 6% | 1% | - |
| 98 | BYARS John | 56% | 36% | 7% | 1% | - | - | |
| 99 | LI Ray | 88% | 12% | 1% | - | - | - | - |
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.