Rockland Community College, Eugene Levy Field House - Suffern, NY, 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 | MIDYANY Ryan | - | - | - | 1% | 7% | 33% | 60% |
| 2 | NG Nico | - | - | - | 1% | 11% | 37% | 51% |
| 3 | LUO Alexander | - | - | - | - | 4% | 28% | 68% |
| 3 | GAO Ryan | - | - | 2% | 11% | 32% | 39% | 16% |
| 5 | MANSFIELD Hunter | - | - | - | 3% | 15% | 39% | 43% |
| 6 | CHEN Cameron | - | - | 3% | 13% | 31% | 36% | 16% |
| 7 | CHEN Evan | - | - | 1% | 7% | 23% | 41% | 29% |
| 8 | ARMSTRONG Payson | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 9 | CARPENTER Touma S. | - | - | - | 4% | 18% | 42% | 36% |
| 10 | SHEYDIN Barry | - | 5% | 18% | 33% | 30% | 12% | 2% |
| 11 | CHEN Aiden | - | - | 1% | 8% | 26% | 42% | 22% |
| 12 | CHALLAMEL Hadrien | - | 1% | 5% | 19% | 38% | 32% | 6% |
| 13 | LANE Sawyer | 1% | 10% | 28% | 35% | 20% | 5% | - |
| 14 | BRESLAV Asher | - | - | 1% | 8% | 26% | 41% | 25% |
| 15 | ZHENG Jason | - | - | 1% | 7% | 26% | 43% | 24% |
| 16 | NOOL Aaron | - | 1% | 9% | 26% | 37% | 23% | 3% |
| 17 | KABA Elias | - | - | - | 1% | 6% | 33% | 61% |
| 18 | TUNG Charlie | - | - | 4% | 15% | 32% | 34% | 14% |
| 19 | LEE Harrison | - | 1% | 6% | 20% | 36% | 29% | 8% |
| 20 | NOOL Alexander | - | - | 1% | 8% | 25% | 41% | 26% |
| 21 | CHEN Hayden | 1% | 9% | 26% | 35% | 22% | 6% | - |
| 22 | CHO Adrian | - | 2% | 9% | 26% | 35% | 23% | 6% |
| 23 | LI Tyrese | 5% | 22% | 34% | 27% | 11% | 2% | - |
| 24 | LAI Jayden | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 25 | TANG Colin | - | 1% | 8% | 25% | 38% | 24% | 3% |
| 26 | LOPATIN Sergei | 3% | 16% | 33% | 31% | 14% | 2% | - |
| 27 | YAKHNIS Seth | - | - | 1% | 8% | 27% | 42% | 22% |
| 28 | HONG Ethen | - | 4% | 16% | 33% | 32% | 13% | 2% |
| 28 | CAVALLARO Sebastian | 4% | 20% | 36% | 29% | 10% | 1% | - |
| 30 | HOLBROOK Silas | 1% | 11% | 29% | 35% | 20% | 5% | - |
| 31 | FRIZZELL Kai | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
| 32 | CHEN Jayden | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 33 | MANUEL Eli | - | 2% | 11% | 27% | 33% | 21% | 5% |
| 33 | ZHENG Jasper | - | 4% | 15% | 30% | 32% | 16% | 3% |
| 35 | FANG Charlie | - | 1% | 7% | 23% | 38% | 25% | 6% |
| 36 | YOU Emmanuel | 1% | 12% | 32% | 34% | 17% | 4% | - |
| 37 | YOON Jonathan | 2% | 13% | 30% | 33% | 17% | 4% | - |
| 38 | ROBINSON Blake | 2% | 14% | 31% | 33% | 16% | 3% | - |
| 39 | WILLIAMS Gavin | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
| 40 | CHIANG William | - | 1% | 5% | 19% | 35% | 31% | 9% |
| 41 | CHANG Connor | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 42 | DAND Zahin | 3% | 16% | 33% | 31% | 14% | 3% | - |
| 43 | QI Bryan | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 44 | MADRIGAL SALVAT Guillermo | - | 2% | 9% | 25% | 35% | 23% | 5% |
| 45 | SHAPIRO Samuel | - | 5% | 18% | 33% | 30% | 12% | 2% |
| 46 | HOREMIOTIS Bennett | 1% | 5% | 18% | 32% | 29% | 13% | 2% |
| 46 | THOMAS Andrew | - | 1% | 6% | 20% | 35% | 29% | 9% |
| 48 | SHAO Mason | 1% | 8% | 25% | 36% | 24% | 7% | - |
| 49 | LIN Qianzhong | - | 3% | 14% | 29% | 32% | 18% | 4% |
| 50 | ATKINS Elan | 2% | 11% | 28% | 35% | 20% | 5% | - |
| 51 | TOPRANI Valmik | - | 2% | 13% | 31% | 34% | 17% | 3% |
| 51 | BOBORIS Dimitrios | 2% | 11% | 29% | 34% | 19% | 5% | - |
| 53 | PARISH-MORRIS Jay | - | 3% | 16% | 33% | 32% | 14% | 2% |
| 54 | MASKIN Mikhail | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 55 | LIU George | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
| 56 | YAO Irvine | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 57 | GUJJA Rishabh | - | 2% | 11% | 27% | 35% | 21% | 5% |
| 58 | LI Jayden | 2% | 13% | 29% | 32% | 18% | 5% | - |
| 59 | VASILEV Victor | - | 5% | 17% | 31% | 29% | 14% | 3% |
| 60 | KLOTS Theo | 2% | 14% | 33% | 33% | 15% | 3% | - |
| 61 | BARTON Christian | 11% | 32% | 35% | 18% | 4% | - | - |
| 62 | TOMPA Paul | 3% | 16% | 31% | 31% | 16% | 4% | - |
| 63 | WEI Noah | 6% | 24% | 35% | 25% | 9% | 1% | - |
| 64 | KIM Brendan | 21% | 39% | 28% | 10% | 2% | - | - |
| 65 | RUDIGER George | 1% | 9% | 25% | 34% | 23% | 7% | 1% |
| 66 | MERHEJ Sean | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 67 | WITHERELL Logan | 2% | 11% | 28% | 34% | 20% | 5% | - |
| 68 | EFFRON Silas | - | 2% | 12% | 29% | 35% | 19% | 3% |
| 69 | FRANCK Hunter | 4% | 20% | 33% | 27% | 12% | 3% | - |
| 70 | ANDERSON Connor | 7% | 25% | 35% | 23% | 8% | 1% | - |
| 71 | ZHANG Shuhao | 2% | 13% | 31% | 33% | 17% | 3% | - |
| 72 | JEONG Joseph | 1% | 5% | 19% | 33% | 29% | 12% | 1% |
| 73 | O'BRIEN Michael | 12% | 32% | 34% | 18% | 5% | 1% | - |
| 74 | HUEMMER James | 6% | 24% | 35% | 25% | 8% | 1% | - |
| 75 | JIANG Aidan | 6% | 23% | 35% | 26% | 9% | 1% | - |
| 76 | ACHILOV Murod | 7% | 32% | 37% | 19% | 5% | 1% | - |
| 77 | LEE Ryan | 8% | 28% | 35% | 21% | 7% | 1% | - |
| 78 | LAI Jaxon | 6% | 23% | 34% | 25% | 10% | 2% | - |
| 79 | SORONDO Aidan | 37% | 41% | 18% | 4% | - | - | - |
| 80 | CHEN Regis | 2% | 14% | 33% | 33% | 14% | 3% | - |
| 81 | CIANCHETTA David | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 82 | TANG Jayce | 7% | 25% | 34% | 23% | 8% | 1% | - |
| 83 | NOVAK Luke | 7% | 24% | 34% | 24% | 9% | 2% | - |
| 83 | DAI Jason | 1% | 9% | 27% | 35% | 22% | 5% | - |
| 83 | CARPENTER Taisei | 7% | 30% | 37% | 20% | 6% | 1% | - |
| 86 | GORE Noah | 23% | 41% | 27% | 8% | 1% | - | - |
| 87 | PINCIROLI Tommaso | 3% | 18% | 34% | 29% | 13% | 2% | - |
| 88 | ZHENG Yicheng Will | 5% | 22% | 35% | 27% | 10% | 2% | - |
| 89 | MILOWSKY Majai | 10% | 29% | 34% | 20% | 6% | 1% | - |
| 90 | HERIGSTAD Daniel | 42% | 40% | 15% | 3% | - | - | - |
| 91 | DUNCAN John | 23% | 39% | 27% | 10% | 2% | - | - |
| 92 | MATHEW Benjamin | 48% | 39% | 11% | 2% | - | - | - |
| 93 | ZOU Grant | 8% | 26% | 35% | 23% | 7% | 1% | - |
| 94 | DUDDA Kavin | 3% | 18% | 35% | 30% | 12% | 2% | - |
| 95 | JAISING Aaditya | 19% | 38% | 30% | 11% | 2% | - | - |
| 96 | SAJJAD Syed | 29% | 41% | 23% | 6% | 1% | - | - |
| 97 | YADAV Aarav | 12% | 35% | 35% | 15% | 3% | - | - |
| 98 | SON Joshua | 23% | 40% | 27% | 9% | 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.