Boston Fencing Club - Boston, MA, 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 | HOU Gaven | - | - | - | - | 7% | 93% | |
| 2 | XU Nathan | - | - | - | 2% | 26% | 72% | |
| 3 | WANG Luke | - | 2% | 15% | 36% | 35% | 12% | |
| 3 | CHANG Parker | - | - | - | 1% | 9% | 37% | 53% |
| 5 | GLICKSBERG Alexander | - | - | 3% | 24% | 49% | 24% | |
| 6 | NOVIKOV Yann | - | - | 5% | 24% | 43% | 27% | |
| 6 | HU Weijie | - | 5% | 25% | 40% | 25% | 5% | |
| 8 | ZHONG Kingsley | - | 5% | 21% | 37% | 29% | 8% | |
| 9 | BRADY David | - | 3% | 18% | 44% | 34% | 1% | |
| 10 | SUSANTO William | - | - | - | 4% | 28% | 67% | |
| 11 | LI Jayden | - | - | 2% | 15% | 41% | 41% | |
| 12 | JABLOKOV Roman | - | 2% | 12% | 33% | 40% | 14% | |
| 13 | ZHUANG Disheng (Eddie) | - | - | 1% | 14% | 45% | 39% | |
| 14 | AHMAD Uzayr | - | 2% | 14% | 36% | 36% | 12% | |
| 15 | BRILLANTES Luke | - | 1% | 6% | 23% | 39% | 27% | 5% |
| 16 | MASON Frederick | 3% | 18% | 36% | 31% | 11% | 1% | |
| 17 | ZHANG Aaron | - | - | 6% | 30% | 52% | 11% | |
| 18 | LI Andrew | - | 3% | 20% | 39% | 30% | 8% | |
| 19 | HU Michael | - | - | 3% | 18% | 43% | 36% | |
| 20 | TIAN Dylan | - | 7% | 26% | 39% | 23% | 4% | |
| 21 | DENG Jonathan | - | 5% | 21% | 39% | 28% | 6% | |
| 22 | DAVIDSON Henry | 7% | 32% | 38% | 19% | 4% | - | - |
| 23 | SUN Nathan | - | 2% | 15% | 37% | 35% | 12% | |
| 24 | REN Ryan | - | 2% | 18% | 46% | 29% | 5% | |
| 24 | ZHAO David | - | 4% | 21% | 38% | 29% | 8% | |
| 26 | ARORA Maximilian Andras A. | - | 3% | 19% | 38% | 31% | 9% | |
| 27 | HU Daniel | 1% | 8% | 32% | 39% | 18% | 3% | |
| 28 | KERSHA Alexander | 2% | 15% | 36% | 33% | 12% | 1% | |
| 29 | CORDERO Javier | 1% | 9% | 29% | 39% | 20% | 2% | |
| 30 | FANG Ryan | 6% | 31% | 45% | 16% | 2% | - | |
| 31 | WONG Maxwell | 4% | 23% | 39% | 27% | 7% | - | |
| 32 | ZHANG Eric | - | 1% | 10% | 28% | 38% | 20% | 3% |
| 33 | TIAN Andy | - | 5% | 22% | 37% | 28% | 8% | |
| 33 | AYYAGARI Abhiram | - | 3% | 17% | 37% | 33% | 11% | |
| 35 | SHINDE Aksh | 7% | 28% | 38% | 22% | 5% | - | |
| 36 | ROPER Griffin | - | 4% | 19% | 36% | 31% | 10% | |
| 37 | LU Hansen | - | 3% | 20% | 40% | 30% | 7% | |
| 38 | FOMIN Dashiell | 9% | 30% | 37% | 19% | 4% | - | |
| 39 | LECH Landon | 1% | 15% | 40% | 35% | 8% | - | |
| 40 | ZHENG Vincent | 1% | 9% | 28% | 36% | 21% | 5% | - |
| 41 | MANCHALA Vedanth | 1% | 10% | 30% | 38% | 19% | 2% | |
| 41 | KEEGAN Cole | 1% | 9% | 29% | 36% | 20% | 4% | |
| 43 | LIU KELVIN | 16% | 43% | 33% | 8% | 1% | - | |
| 44 | HASSETT Edward | 10% | 40% | 37% | 12% | 1% | - | |
| 45 | LIN Lucas | - | 1% | 8% | 30% | 41% | 20% | |
| 46 | DAVE Neil | 5% | 25% | 38% | 25% | 6% | 1% | |
| 47 | KROLEWSKI Nathaniel | - | 5% | 25% | 45% | 23% | 1% | |
| 48 | GOLI Arush | 2% | 15% | 35% | 33% | 13% | 2% | - |
| 49 | CHEN Kevin | 2% | 19% | 43% | 31% | 6% | - | |
| 50 | MOON Nolan | 2% | 19% | 37% | 29% | 11% | 1% | |
| 51 | SUN Andrew | 24% | 41% | 27% | 8% | 1% | - | |
| 52 | CUI Mason | 35% | 42% | 19% | 4% | - | - | |
| 53 | CHEUNG Gio | 46% | 42% | 11% | 1% | - | - | |
| 54 | WULIN Nicholas | 5% | 27% | 43% | 22% | 3% | - | |
| 55 | MACCIOLI Daniel | 46% | 42% | 10% | 1% | - | - | |
| 56 | IM Andrew | 10% | 36% | 36% | 15% | 3% | - | |
| 56 | XU Jaden | 28% | 47% | 21% | 4% | - | - | |
| 58 | LAQUER Tyler | 39% | 44% | 15% | 2% | - | - | |
| 59 | TANAKA Nico | 33% | 47% | 17% | 3% | - | - | |
| 60 | LIU Kunshuo | 44% | 40% | 13% | 2% | - | - | - |
| 61 | PELLERIN Liam | 33% | 46% | 18% | 3% | - | - | |
| 61 | WILSON Henry | 44% | 41% | 13% | 2% | - | - | |
| 63 | BHOSREKAR Som | 25% | 51% | 20% | 3% | - | - | |
| 64 | CASSIE Charles | 54% | 37% | 8% | 1% | - | - | |
| 65 | BLAIS julian | 35% | 48% | 15% | 2% | - | - | |
| 66 | ANDERSON Kai | 64% | 30% | 6% | - | - | - | |
| 67 | CONNELLY Malcolm | 16% | 48% | 30% | 5% | - | - | |
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.