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 | SRIVATS Vedh | - | - | - | - | 4% | 26% | 70% |
| 2 | BAI Evan | - | - | - | 2% | 11% | 37% | 50% |
| 3 | ROPER F. Elijah | - | - | - | 2% | 15% | 42% | 40% |
| 3 | HU Jayden | - | 1% | 8% | 29% | 41% | 20% | 1% |
| 5 | KHANNA Adamantis | - | - | - | - | 5% | 30% | 65% |
| 6 | KOZLOV Lucas | - | - | - | 2% | 15% | 43% | 40% |
| 7 | NGO Emerson | - | 2% | 9% | 25% | 36% | 24% | 5% |
| 8 | TAYCHER Aaron | - | - | 2% | 10% | 29% | 39% | 20% |
| 9 | ISAYENKO Daniel | - | - | 2% | 10% | 29% | 40% | 20% |
| 10 | CHANG Timothy | - | - | 5% | 20% | 40% | 31% | 4% |
| 11 | MHLEY Gavin | - | 1% | 6% | 21% | 38% | 30% | 4% |
| 12 | MERMEGAS Alexander | - | 2% | 12% | 28% | 34% | 20% | 4% |
| 13 | KARAVAS Nicholas | - | 1% | 7% | 20% | 33% | 28% | 10% |
| 14 | KUSHKOV Michael | - | - | 4% | 18% | 40% | 31% | 8% |
| 15 | SUBA Mason | - | - | 3% | 14% | 33% | 35% | 14% |
| 16 | LIM JUWANA Maximilian | - | 2% | 13% | 30% | 34% | 18% | 3% |
| 17 | LAU Kyrus | - | 2% | 9% | 26% | 36% | 22% | 5% |
| 18 | SAGE Nikolai | - | 1% | 5% | 18% | 34% | 31% | 11% |
| 19 | BROOKS Drake | - | 4% | 20% | 37% | 29% | 9% | 1% |
| 20 | ORIE Sohan | - | - | 3% | 14% | 31% | 35% | 16% |
| 21 | MALEK Zak | 1% | 6% | 21% | 33% | 27% | 11% | 2% |
| 22 | HENDERSON Louis | - | - | 1% | 8% | 30% | 44% | 17% |
| 23 | AGARWAAL Yohan | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 24 | ARCHIBALD Zachary | - | - | 2% | 12% | 35% | 39% | 12% |
| 25 | LIN Brendan | - | - | 2% | 12% | 34% | 39% | 13% |
| 26 | D'AMELJ Edoardo | - | 2% | 10% | 25% | 34% | 23% | 6% |
| 27 | LEE Blake | - | 1% | 10% | 32% | 39% | 16% | 2% |
| 28 | LEVY Daniel | 1% | 10% | 28% | 35% | 21% | 6% | 1% |
| 29 | YI Andrew | - | 4% | 16% | 32% | 31% | 14% | 2% |
| 30 | ZHANG Howard | 2% | 15% | 31% | 31% | 16% | 4% | - |
| 31 | SUH Leo | 3% | 16% | 33% | 32% | 14% | 2% | - |
| 32 | MELE Gianni | 1% | 10% | 26% | 34% | 22% | 6% | - |
| 33 | CLARK Dwayne | - | - | - | 4% | 20% | 43% | 32% |
| 34 | LIU Jayden | - | 3% | 14% | 31% | 34% | 16% | 3% |
| 35 | LIANG Morgan | - | - | 4% | 17% | 34% | 33% | 11% |
| 36 | WEI Hunter | 1% | 8% | 22% | 32% | 25% | 11% | 2% |
| 37 | RIVERATAN Darshan | 2% | 12% | 26% | 31% | 20% | 7% | 1% |
| 38 | YAO John | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 39 | WONG Reagan | 2% | 14% | 32% | 32% | 17% | 4% | - |
| 40 | KOREN George | - | 1% | 5% | 19% | 35% | 30% | 10% |
| 41 | CHAN Ewan | 2% | 12% | 27% | 31% | 20% | 6% | 1% |
| 41 | TERENTIEV Michael | 4% | 18% | 32% | 29% | 14% | 3% | - |
| 43 | TITOV Zachary | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 44 | BENNETT Lachlan | 1% | 8% | 22% | 32% | 25% | 10% | 2% |
| 45 | CIECIEREGA MATTHEW | 5% | 21% | 36% | 28% | 10% | 1% | - |
| 46 | MERZLYAKOV VLadimir | 1% | 5% | 18% | 31% | 29% | 14% | 2% |
| 47 | LEIGH Brayden | 9% | 30% | 35% | 19% | 5% | 1% | - |
| 48 | EARLEY Jack | 4% | 17% | 33% | 30% | 13% | 2% | - |
| 49 | BURENKOV Matthew | 12% | 32% | 33% | 18% | 5% | 1% | - |
| 50 | BALTRUSAITIS Lucas Tommaso | 5% | 22% | 36% | 26% | 9% | 2% | - |
| 51 | VISH Manyu | 1% | 9% | 30% | 37% | 19% | 4% | - |
| 52 | CHERNAEV Antonio | - | 3% | 16% | 35% | 32% | 12% | 1% |
| 53 | LEE Ryan | - | - | 1% | 7% | 24% | 41% | 26% |
| 54 | CHAN Brady | - | 4% | 23% | 40% | 26% | 6% | - |
| 55 | PARK Sean | 1% | 6% | 23% | 36% | 25% | 8% | 1% |
| 56 | NEST Jake | - | - | 3% | 16% | 43% | 34% | 5% |
| 57 | BRADY Jack | 3% | 15% | 31% | 31% | 16% | 4% | - |
| 58 | CHEN Anson | 2% | 13% | 30% | 34% | 18% | 4% | - |
| 59 | MOTOV Max | 3% | 14% | 30% | 31% | 17% | 5% | - |
| 60 | FRANCOIS Gabriel | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 61 | STOLCKE Julian | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
| 62 | LI Jayden | 11% | 31% | 35% | 19% | 5% | 1% | - |
| 63 | XUE Conghuan | 26% | 40% | 24% | 7% | 1% | - | - |
| 64 | FAVO Christopher | 9% | 29% | 36% | 20% | 6% | 1% | - |
| 65 | YURCISIN Harrison | - | 1% | 9% | 25% | 35% | 23% | 6% |
| 66 | ZHAO Alexander | - | 7% | 31% | 41% | 18% | 2% | - |
| 67 | BLAIR Campbell | - | 5% | 20% | 35% | 28% | 11% | 2% |
| 68 | ZHANG Weihang | 1% | 7% | 24% | 36% | 24% | 7% | 1% |
| 68 | CHEN Mark | - | 1% | 5% | 19% | 35% | 31% | 10% |
| 70 | HE Nolan | 4% | 20% | 38% | 28% | 9% | 1% | - |
| 71 | MAKLIN David | 2% | 14% | 31% | 33% | 17% | 4% | - |
| 72 | PARK Layne | 3% | 19% | 36% | 28% | 11% | 2% | - |
| 73 | GAIDA Ashton | - | 1% | 10% | 33% | 39% | 16% | 2% |
| 74 | KOREN David | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 75 | SEARS Max | 58% | 36% | 5% | - | - | - | - |
| 76 | CHEN Kevin | 13% | 40% | 33% | 11% | 2% | - | - |
| 77 | MCCOY Elias | 30% | 41% | 22% | 6% | 1% | - | - |
| 78 | ZHAO Owen | 3% | 18% | 37% | 31% | 9% | 1% | - |
| 79 | RISMAN Edward | 1% | 9% | 34% | 38% | 16% | 3% | - |
| 80 | DAI Ethan | 1% | 13% | 35% | 34% | 14% | 2% | - |
| 81 | GAO Francis | 40% | 40% | 16% | 3% | - | - | - |
| 82 | ZHERENOVSKY Alan | 6% | 22% | 33% | 25% | 11% | 3% | - |
| 83 | LONGCORE Daniel | 22% | 41% | 28% | 8% | 1% | - | - |
| 83 | DY Azriel | 21% | 40% | 28% | 9% | 1% | - | - |
| 85 | ZHANG Mark | 8% | 28% | 35% | 22% | 6% | 1% | - |
| 86 | SMITH Jackson | - | 3% | 15% | 34% | 33% | 13% | 2% |
| 87 | TANJGA Luka | 14% | 35% | 33% | 14% | 3% | - | - |
| 88 | FIROOZI Alex | 46% | 42% | 11% | 1% | - | - | - |
| 89 | BLACK Bauer | 44% | 41% | 13% | 2% | - | - | - |
| 90 | CARR Silas | 14% | 37% | 33% | 13% | 2% | - | - |
| 91 | KROLOFF Ben | 1% | 11% | 33% | 36% | 16% | 2% | - |
| 91 | HOFFMAN Graham | 2% | 12% | 27% | 32% | 20% | 6% | 1% |
| 93 | WANG Harrison | 3% | 20% | 37% | 28% | 10% | 2% | - |
| 94 | SOCHNIKOV Jacob | 13% | 39% | 34% | 12% | 2% | - | - |
| 94 | LEE Jeffrey | 11% | 32% | 35% | 17% | 4% | 1% | - |
| 96 | SONG Jerry | 2% | 10% | 25% | 32% | 22% | 8% | 1% |
| 97 | CHENG Shane | 18% | 52% | 26% | 4% | - | - | - |
| 98 | GAYTAN Antonio | 59% | 33% | 7% | 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.