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 | KHANNA Adamantis | - | - | - | - | 2% | 20% | 77% |
| 2 | AGARWAAL Yohan | - | - | - | - | 3% | 23% | 74% |
| 3 | DAI Zihou | - | - | - | 3% | 16% | 41% | 40% |
| 3 | BAI Evan | - | - | 2% | 12% | 39% | 48% | |
| 5 | ISAYENKO Daniel | - | - | 2% | 14% | 40% | 43% | |
| 6 | HU Jayden | - | - | 3% | 17% | 42% | 37% | |
| 7 | ZHAO Royce | - | - | - | 1% | 6% | 32% | 61% |
| 8 | BELAND Riley James "RJ" | - | - | - | 2% | 16% | 45% | 37% |
| 9 | KARAVAS Nicholas | - | - | 1% | 7% | 35% | 57% | |
| 10 | KOREN David | - | 3% | 13% | 28% | 33% | 19% | 4% |
| 11 | ZHANG Simon | - | 1% | 6% | 21% | 36% | 28% | 8% |
| 12 | WAXLER Alex | 5% | 24% | 39% | 25% | 7% | 1% | |
| 13 | LI Michael | - | 2% | 16% | 45% | 37% | ||
| 14 | WU Vincent | - | 2% | 9% | 26% | 36% | 22% | 5% |
| 15 | TITOV Zachary | 1% | 6% | 20% | 33% | 27% | 11% | 2% |
| 16 | SUBA Mason | 2% | 12% | 32% | 37% | 16% | 2% | |
| 18 | SONG Aidan | - | - | - | 4% | 23% | 48% | 25% |
| 19 | LAU Kyrus | - | 1% | 7% | 21% | 34% | 28% | 9% |
| 20 | STOLCKE Julian | - | - | 1% | 9% | 29% | 42% | 19% |
| 21 | ARCHIBALD Zachary | - | - | 4% | 18% | 39% | 33% | 6% |
| 22 | YAO John | - | 5% | 25% | 47% | 23% | ||
| 23 | PARK Layne | 3% | 15% | 31% | 32% | 16% | 3% | - |
| 24 | SUH Leo | - | - | 1% | 8% | 25% | 41% | 25% |
| 25 | HE Nolan | 1% | 15% | 37% | 33% | 12% | 1% | |
| 26 | BRADY Jack | - | 3% | 18% | 40% | 33% | 6% | |
| 27 | BEAL Colton | - | - | - | 4% | 21% | 43% | 31% |
| 28 | MESSINGER Joshua | 11% | 31% | 34% | 18% | 5% | 1% | - |
| 29 | O'KEEFE Brody | 1% | 9% | 26% | 35% | 22% | 6% | 1% |
| 30 | BLAIR Campbell | - | 2% | 12% | 32% | 37% | 16% | 2% |
| 31 | ZALETAEV Jacob | 1% | 7% | 24% | 38% | 25% | 5% | |
| 32 | MARTINSON Torm | - | 3% | 14% | 31% | 35% | 16% | 1% |
| 33 | SO Morgan | - | 1% | 5% | 18% | 33% | 31% | 12% |
| 34 | AVERY Marcus | - | - | 1% | 6% | 24% | 43% | 26% |
| 35 | BALTRUSAITIS Lucas Tommaso | 2% | 13% | 33% | 34% | 16% | 3% | - |
| 36 | LEE Ryan | - | - | 1% | 9% | 29% | 42% | 18% |
| 37 | CIECIEREGA MATTHEW | - | 2% | 12% | 33% | 37% | 14% | 2% |
| 38 | SIMEONIDIS Aris | - | 3% | 14% | 31% | 33% | 16% | 3% |
| 39 | NARAYAN Rishi | 1% | 8% | 24% | 33% | 24% | 9% | 1% |
| 40 | CUSSON William | 2% | 15% | 33% | 32% | 15% | 3% | - |
| 41 | BROOKS Drake | - | 4% | 22% | 39% | 28% | 6% | |
| 42 | WANG Harrison | 8% | 32% | 39% | 18% | 3% | - | |
| 43 | LEIGH Brayden | 11% | 34% | 35% | 16% | 3% | - | |
| 44 | LIM JUWANA Maximilian | - | 4% | 19% | 38% | 32% | 7% | |
| 45 | BALBALE Zayd | 1% | 8% | 25% | 36% | 24% | 6% | 1% |
| 46 | TANJGA Luka | 7% | 35% | 41% | 15% | 2% | ||
| 47 | LEE Shane Gunn | - | 3% | 13% | 29% | 33% | 18% | 4% |
| 48 | ZHAO Alexander | - | 1% | 10% | 28% | 38% | 21% | 2% |
| 48 | LI Anton | - | 5% | 22% | 37% | 28% | 8% | - |
| 50 | PARROCO Andrew | 1% | 10% | 32% | 36% | 17% | 3% | - |
| 51 | BURENKOV Matthew | - | 4% | 16% | 32% | 32% | 14% | 2% |
| 52 | BLACK Bennett | - | 5% | 23% | 39% | 26% | 7% | 1% |
| 53 | LEE Jeffrey | 6% | 26% | 37% | 23% | 7% | 1% | - |
| 54 | SPENCER-EL Elijah | 4% | 19% | 35% | 29% | 12% | 2% | - |
| 55 | SONG Ryan | 10% | 33% | 36% | 17% | 3% | - | |
| 56 | MARTIRE Francis | 8% | 32% | 39% | 18% | 3% | - | |
| 57 | PARK Sean | 7% | 27% | 37% | 23% | 6% | - | |
| 58 | AWAD Omar | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
| 59 | KOREN George | - | 1% | 6% | 19% | 34% | 30% | 10% |
| 60 | CHEN Ryan | - | 4% | 17% | 32% | 30% | 14% | 3% |
| 61 | LLOYD Max | 2% | 12% | 28% | 32% | 19% | 6% | 1% |
| 62 | DARLING Andrew | 2% | 12% | 29% | 33% | 19% | 4% | - |
| 63 | PLAWNER Eli | - | 5% | 24% | 39% | 26% | 5% | |
| 64 | RISMAN Edward | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 65 | LI Kent | 1% | 10% | 27% | 35% | 21% | 5% | - |
| 66 | BENNETT Lachlan | 2% | 13% | 30% | 32% | 18% | 5% | 1% |
| 67 | GARCIA-ALBEA Diego | - | 2% | 12% | 32% | 36% | 16% | 2% |
| 68 | SHEYNZON David | 13% | 39% | 34% | 12% | 2% | - | - |
| 69 | DMYTRUK Alexander | 5% | 24% | 38% | 25% | 7% | 1% | - |
| 70 | HONG Isaac | 6% | 25% | 35% | 24% | 9% | 2% | - |
| 71 | TERENTIEV Michael | 1% | 10% | 28% | 37% | 20% | 3% | |
| 72 | RIVERATAN Darshan | - | 3% | 16% | 35% | 33% | 12% | 1% |
| 73 | LEISTNER Armin | 4% | 21% | 35% | 28% | 11% | 2% | - |
| 74 | LI Lucas | 1% | 11% | 32% | 35% | 17% | 3% | - |
| 75 | MAKLIN David | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 76 | LI Sebastian | 33% | 41% | 20% | 5% | 1% | - | - |
| 77 | BURNS Carson | 5% | 21% | 35% | 27% | 10% | 2% | - |
| 78 | GAW Zachary | 4% | 21% | 37% | 28% | 9% | 1% | - |
| 79 | SEDAKA Dylan | 8% | 36% | 40% | 14% | 2% | ||
| 80 | LI Felix | 14% | 43% | 32% | 10% | 1% | - | - |
| 81 | MITHUN Prabal | 4% | 31% | 41% | 20% | 4% | - | |
| 82 | KRISHNARASA Aiyann | 1% | 6% | 26% | 41% | 23% | 3% | |
| 83 | OLSON Prescott | 66% | 29% | 5% | - | - | - | |
| 84 | DAI Ethan | 28% | 40% | 23% | 7% | 1% | - | - |
| 85 | COONEY Alexander | 7% | 26% | 38% | 23% | 6% | 1% | - |
| 86 | GUERRA Corey | 1% | 8% | 24% | 34% | 25% | 8% | 1% |
| 87 | VINCENT Yijia | 29% | 41% | 23% | 6% | 1% | - | - |
| 88 | KONG Ethan | 6% | 27% | 36% | 23% | 7% | 1% | - |
| 89 | HUANG KIMBALL | 26% | 42% | 25% | 7% | 1% | - | - |
| 90 | FERTIK Navon | 24% | 42% | 26% | 7% | 1% | - | - |
| 91 | LEE Sebastian | 20% | 42% | 28% | 8% | 1% | - | - |
| 92 | GARCIA-ALBEA Oscar | 49% | 40% | 10% | 1% | - | ||
| 93 | SABINO Bennett | 17% | 38% | 31% | 11% | 2% | - | |
| 94 | SZETO Derek | 3% | 14% | 30% | 32% | 17% | 4% | - |
| 95 | KRISHNAN Arjun | 37% | 43% | 17% | 3% | - | - | |
| 96 | DY Azriel | 30% | 42% | 22% | 6% | 1% | - | - |
| 97 | VENKATESAN Akash | 49% | 40% | 9% | 1% | - | - | - |
| 98 | GAW Christian | 26% | 40% | 25% | 8% | 1% | - | - |
| 100 | GAO Francis | 27% | 42% | 24% | 6% | 1% | - | |
| 101 | YUN Matthew | 39% | 42% | 16% | 3% | - | - | - |
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.