Greater Philadelphia Expo Center - Oaks, PA, 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 | LAU Kyrus | - | - | 1% | 10% | 39% | 49% | |
| 2 | LI Michael | - | 2% | 10% | 26% | 35% | 23% | 6% |
| 3 | ARCHIBALD Zachary | - | - | 1% | 6% | 23% | 42% | 29% |
| 3 | LIANG Morgan | - | - | - | 1% | 10% | 39% | 51% |
| 5 | LIU Jayden | - | - | 3% | 13% | 30% | 36% | 18% |
| 6 | SONG Aidan | - | - | 3% | 13% | 30% | 36% | 18% |
| 7 | LIM JUWANA Maximilian | - | - | 1% | 7% | 24% | 41% | 27% |
| 8 | PARK Layne | 1% | 5% | 20% | 33% | 28% | 11% | 2% |
| 9 | SHAPIRO Leo | - | - | 2% | 11% | 29% | 38% | 19% |
| 10 | BEAL Colton | - | - | - | 3% | 17% | 43% | 36% |
| 11 | STOLCKE Julian | - | - | 1% | 10% | 32% | 41% | 15% |
| 12 | MOGUNOV Alan | - | - | 1% | 11% | 35% | 41% | 11% |
| 13 | DARLING Andrew | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
| 14 | O'KEEFE Brody | - | 5% | 19% | 34% | 29% | 12% | 2% |
| 15 | LEIGH Brayden | - | 1% | 7% | 26% | 41% | 22% | 3% |
| 16 | ZHERENOVSKY Alan | 5% | 20% | 33% | 27% | 12% | 3% | - |
| 17 | CHAN Ewan | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 18 | PARK Sean | - | 2% | 11% | 28% | 34% | 19% | 4% |
| 19 | LLOYD Max | - | 4% | 15% | 30% | 31% | 16% | 3% |
| 20 | CIECIEREGA MATTHEW | - | 3% | 13% | 30% | 33% | 18% | 4% |
| 21 | CHEN Ryan | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
| 22 | KUTTIN Aadith | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 23 | MOROAICA Seiku | - | 1% | 5% | 21% | 37% | 29% | 8% |
| 24 | LI Sebastian | 19% | 38% | 29% | 11% | 2% | - | - |
| 24 | XUE Albert | - | 3% | 17% | 36% | 31% | 11% | 1% |
| 26 | LEE Shane Gunn | - | 2% | 13% | 35% | 39% | 11% | |
| 27 | IP Hunter | - | - | 4% | 15% | 32% | 34% | 14% |
| 28 | SONG Ryan | 3% | 16% | 34% | 31% | 14% | 3% | - |
| 29 | ZHAO Alexander | - | 3% | 14% | 29% | 32% | 17% | 3% |
| 30 | LI Kent | 2% | 10% | 25% | 33% | 22% | 7% | 1% |
| 31 | ZALETAEV Jacob | - | 2% | 10% | 27% | 35% | 22% | 5% |
| 31 | KONG Ethan | 6% | 24% | 35% | 24% | 8% | 1% | - |
| 33 | HONG Isaac | 2% | 15% | 36% | 34% | 12% | 1% | |
| 34 | SUH Jordan | 1% | 6% | 19% | 32% | 28% | 12% | 2% |
| 34 | GAW Zachary | 2% | 14% | 35% | 34% | 13% | 2% | - |
| 36 | DMYTRUK Alexander | 7% | 24% | 34% | 24% | 9% | 2% | - |
| 37 | RAJMOHAN Syon | 16% | 42% | 31% | 9% | 1% | - | - |
| 38 | FAZELINIA Erfaan | 1% | 7% | 22% | 34% | 26% | 10% | 1% |
| 39 | BURNS Carson | 1% | 9% | 29% | 36% | 20% | 5% | - |
| 40 | HAMM Bennett | - | 3% | 15% | 34% | 34% | 13% | 2% |
| 41 | NEUBERGER Jakob Felix | 3% | 20% | 39% | 29% | 8% | 1% | |
| 42 | ARUN Viyaan | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
| 43 | HO Alexander | 4% | 22% | 39% | 27% | 7% | 1% | - |
| 44 | CHEN Joshua | 20% | 40% | 28% | 10% | 2% | - | - |
| 45 | LEISTNER Armin | 1% | 7% | 22% | 33% | 26% | 10% | 1% |
| 46 | HUANG KIMBALL | 16% | 40% | 32% | 11% | 1% | - | |
| 47 | BORNHOLZ Lawrence | 25% | 43% | 25% | 6% | 1% | - | |
| 48 | VINCENT Yijia | 18% | 40% | 30% | 10% | 2% | - | - |
| 49 | LI Felix | 36% | 43% | 17% | 3% | - | - | - |
| 50 | KNOBEL Benjamin | - | 2% | 11% | 28% | 34% | 20% | 4% |
| 51 | FIELDS Eli | - | 3% | 12% | 27% | 33% | 20% | 5% |
| 52 | SOBOLEWSKI Isaac | 34% | 43% | 19% | 4% | - | - | - |
| 53 | CHEN Tyler | 14% | 39% | 33% | 11% | 2% | - | - |
| 54 | THEETHIRA Kevin-Cariappa | 15% | 37% | 32% | 13% | 3% | - | - |
| 55 | PALERMO Evan | 5% | 21% | 33% | 27% | 11% | 2% | - |
| 56 | KULJIEV Boyan | 7% | 27% | 36% | 22% | 7% | 1% | - |
| 57 | OLSON Prescott | 24% | 42% | 27% | 7% | 1% | - | - |
| 58 | WERNER Jonah | 21% | 39% | 28% | 10% | 2% | - | - |
| 59 | LI Jayden | 3% | 18% | 39% | 30% | 10% | 1% | - |
| 60 | GAW Christian | 15% | 40% | 32% | 11% | 2% | - | - |
| 61 | IP Ethan | 1% | 13% | 32% | 34% | 16% | 4% | - |
| 62 | LEE Andrew | 5% | 21% | 33% | 26% | 12% | 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.