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 | LU Hanwen | - | - | 2% | 13% | 42% | 44% | |
| 2 | HUA George (Hanxun) | - | - | - | 3% | 17% | 41% | 39% |
| 3 | MOGUNOV Alan | - | - | - | 4% | 17% | 40% | 39% |
| 3 | MOTOV Max | - | 4% | 23% | 42% | 27% | 4% | |
| 5 | LEVY Daniel | - | - | - | - | 5% | 30% | 65% |
| 6 | ZHANG Weihang | - | - | 2% | 10% | 30% | 40% | 18% |
| 7 | PARK Layne | - | 1% | 6% | 28% | 47% | 18% | |
| 8 | ZHANG Howard | - | - | 3% | 14% | 32% | 35% | 15% |
| 9 | NARAYAN Rishi | - | - | 3% | 18% | 44% | 34% | |
| 10 | PARK Sean | - | - | 2% | 13% | 40% | 45% | |
| 11 | HAHN EVER | - | - | 3% | 16% | 41% | 39% | |
| 12 | ALUF William | - | - | 1% | 12% | 39% | 48% | |
| 13 | LLOYD Max | - | 1% | 4% | 16% | 33% | 34% | 13% |
| 14 | HENDERSON Louis | - | - | - | 2% | 14% | 41% | 43% |
| 15 | CHEN Luca | - | - | 1% | 6% | 26% | 45% | 22% |
| 16 | ISAYENKO Daniel | - | - | 1% | 9% | 37% | 52% | |
| 17 | HU Simon | - | - | - | 3% | 18% | 45% | 34% |
| 18 | LEE Shane Gunn | - | 1% | 6% | 24% | 39% | 26% | 5% |
| 18 | KIM Junseong | - | 1% | 7% | 35% | 48% | 10% | |
| 20 | LIU Jeremy | - | - | 4% | 18% | 34% | 32% | 11% |
| 21 | ZHIVICH Gabriel | 9% | 32% | 38% | 18% | 3% | - | |
| 22 | TO Aiden | - | 4% | 19% | 40% | 31% | 7% | |
| 23 | KIM Gwanhee | - | 1% | 8% | 26% | 39% | 23% | 3% |
| 25 | TAK Sion | 6% | 33% | 37% | 18% | 5% | 1% | - |
| 26 | BURCH III Andrew J. | - | 2% | 10% | 28% | 36% | 21% | 4% |
| 27 | PETROSYAN Aleksander | 2% | 12% | 28% | 32% | 19% | 5% | 1% |
| 28 | CHEN Ryan | - | 1% | 9% | 30% | 42% | 17% | |
| 29 | WANG Harrison | 2% | 15% | 37% | 34% | 12% | 1% | |
| 30 | BASU MALLICK Sannibh | - | 3% | 17% | 36% | 32% | 11% | 1% |
| 31 | SUH Ethan | - | 4% | 22% | 41% | 28% | 5% | |
| 32 | TAK Kion | 1% | 7% | 24% | 38% | 25% | 5% | |
| 34 | LEIGH Anthony | 6% | 27% | 38% | 23% | 6% | - | |
| 35 | MARTIRE Francis | - | 4% | 20% | 39% | 30% | 7% | |
| 36 | SOLEJ Miles | - | 2% | 11% | 33% | 40% | 14% | |
| 37 | LI Jaylen William | - | 5% | 21% | 35% | 27% | 9% | 1% |
| 38 | HEILMANN Christian | - | 1% | 7% | 25% | 38% | 24% | 4% |
| 39 | HEILMANN Caleb | - | 3% | 15% | 32% | 33% | 16% | 3% |
| 40 | HUANG Lucas | 13% | 33% | 33% | 17% | 4% | 1% | - |
| 41 | LI FangKe | 5% | 23% | 38% | 27% | 8% | 1% | |
| 42 | KNOBEL Benjamin | 1% | 6% | 24% | 36% | 25% | 8% | 1% |
| 43 | BORNHOLZ Lawrence | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 44 | CIECIEREGA MATTHEW | - | - | 5% | 19% | 35% | 31% | 10% |
| 45 | ZHANG Mark | - | 5% | 21% | 35% | 28% | 10% | 1% |
| 46 | BLACK Bennett | 3% | 19% | 36% | 30% | 10% | 1% | |
| 47 | SABINO Bennett | - | 3% | 15% | 32% | 33% | 14% | 2% |
| 47 | BROOKS Grant | 1% | 6% | 21% | 33% | 27% | 11% | 1% |
| 49 | LEE Augustine | - | 2% | 13% | 33% | 36% | 15% | 1% |
| 50 | DIORIO James | 5% | 25% | 39% | 24% | 6% | - | |
| 51 | VINCENT Yian | - | 4% | 17% | 35% | 31% | 11% | 1% |
| 52 | WANG Russell | - | - | 1% | 8% | 27% | 41% | 22% |
| 53 | HUANG KIMBALL | 6% | 24% | 37% | 25% | 7% | 1% | - |
| 54 | THEETHIRA Kevin-Cariappa | 2% | 19% | 37% | 29% | 11% | 2% | - |
| 55 | CONSTANTINE Leonidas | 1% | 11% | 30% | 36% | 19% | 3% | |
| 56 | KIM Colin | 1% | 6% | 24% | 40% | 26% | 5% | |
| 57 | LEVY Rafa | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 58 | LEE Aiden | 1% | 9% | 34% | 38% | 16% | 2% | |
| 59 | YU Dylan | 2% | 10% | 26% | 33% | 21% | 7% | 1% |
| 60 | TERNG Peter | 15% | 39% | 34% | 11% | 2% | - | |
| 61 | ILICHEV Timur | - | 7% | 26% | 40% | 23% | 4% | |
| 64 | KATZ Isaac | 2% | 16% | 37% | 32% | 12% | 2% | - |
| 65 | MULCAHEY Kieran | 5% | 23% | 38% | 26% | 7% | 1% | - |
| 67 | DENSEN Leo | 3% | 18% | 37% | 31% | 10% | 1% | |
| 68 | BORROK Andrew | 8% | 29% | 38% | 20% | 4% | - | |
| 69 | JOHN Christian | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
| 70 | ZHANG Leon | - | 3% | 15% | 32% | 32% | 16% | 3% |
| 71 | IP Ethan | 60% | 33% | 7% | 1% | - | - | - |
| 72 | KULJIEV Boyan | 7% | 28% | 37% | 22% | 5% | 1% | - |
| 73 | LEE Marcus | 3% | 22% | 37% | 27% | 9% | 1% | - |
| 74 | CHATTAWAY Nicholas | 9% | 32% | 37% | 18% | 3% | - | |
| 75 | BARAKH Adam | - | 4% | 20% | 37% | 29% | 9% | 1% |
| 76 | CENEDELLA Izaac | 23% | 45% | 25% | 6% | 1% | - | - |
| 77 | DOBRYNCHUK Nazarii | - | 2% | 12% | 32% | 37% | 15% | 2% |
| 78 | RUBINSHTEYN Leib | 2% | 12% | 29% | 32% | 19% | 5% | 1% |
| 79 | OLSON Prescott | 51% | 40% | 9% | 1% | - | - | |
| 80 | ROBLES Rafael | 12% | 40% | 34% | 11% | 2% | - | |
| 81 | LI Felix | 16% | 36% | 31% | 13% | 3% | - | - |
| 82 | LIUZHANG Ben | 2% | 10% | 27% | 33% | 21% | 6% | 1% |
| 82 | URTUBI Sebastian | - | 5% | 21% | 35% | 27% | 10% | 1% |
| 84 | BOROFF Gideon | 29% | 44% | 21% | 4% | - | - | - |
| 85 | XIAO August | 29% | 43% | 23% | 5% | - | - | |
| 86 | HO Alexander | 34% | 42% | 19% | 4% | - | - | |
| 86 | TIAN Michael | 8% | 31% | 39% | 19% | 4% | - | |
| 88 | VITALE NIKO | 24% | 44% | 26% | 6% | 1% | - | |
| 89 | SWAMIDOSS Andrew | 5% | 24% | 38% | 25% | 7% | 1% | |
| 90 | JIANG Elvin | 6% | 27% | 40% | 23% | 5% | - | |
| 91 | FERNAINE Thomas | 5% | 22% | 34% | 26% | 11% | 2% | - |
| 92 | GONG Harrison | - | 2% | 13% | 36% | 37% | 11% | |
| 93 | PAN William | 31% | 43% | 21% | 5% | 1% | - | - |
| 94 | FUNG Emerson | 18% | 48% | 27% | 6% | 1% | - | |
| 95 | KISHORE Rishaan | 17% | 38% | 31% | 12% | 2% | - | - |
| 96 | FIGUS Fabio | 6% | 35% | 39% | 17% | 3% | - | - |
| 96 | COBEY James | 54% | 36% | 9% | 1% | - | - | - |
| 98 | BELTRAN-PRATS Enzo | 2% | 13% | 35% | 34% | 14% | 2% | - |
| 98 | TSE Cooper | 63% | 31% | 5% | - | - | - | - |
| 101 | XU Jayden | 29% | 43% | 23% | 5% | - | - | |
| 101 | MALM Gabriel | 17% | 41% | 30% | 10% | 2% | - | - |
| 101 | LEE Lucas | 31% | 44% | 21% | 4% | - | - | |
| 104 | POLITO Anthony | 47% | 40% | 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.