King of Prussia, PA - King of Prussia, 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 | ||
| 1 | MARAKOV Allen B. | - | 1% | 5% | 23% | 43% | 29% |
| 2 | KIM Juni C. | - | - | 1% | 10% | 43% | 46% |
| 3 | KUMAR Anitya | - | - | 5% | 21% | 43% | 31% |
| 3 | YUROVCHAK Andrew T. | - | - | 5% | 24% | 48% | 23% |
| 5 | HANSEN Jonas B. | - | - | - | 2% | 19% | 79% |
| 6 | HADDAD Justin R. | - | - | - | 3% | 24% | 73% |
| 7 | LIU Alexander | - | - | 2% | 14% | 42% | 43% |
| 8 | INSLER Ethan C. | - | 1% | 6% | 26% | 43% | 23% |
| 9 | MCCOMISKEY Aiden J. | - | 2% | 16% | 40% | 35% | 7% |
| 10 | LAVENSTEIN Kinley V. | - | 1% | 7% | 29% | 45% | 19% |
| 10 | WHELAN Thomas (Tony) | - | - | 1% | 13% | 44% | 42% |
| 12 | GANA Jr Jorge M. | - | 1% | 9% | 30% | 42% | 19% |
| 13 | LONCAR Luka E. | - | 5% | 24% | 41% | 25% | 5% |
| 14 | WU Joseph | - | 3% | 18% | 40% | 32% | 7% |
| 15 | KING Cameron | 1% | 14% | 38% | 36% | 10% | 1% |
| 16 | LAI Coby | 5% | 23% | 38% | 27% | 7% | - |
| 17 | VERMEULE Spencer | - | - | - | 3% | 25% | 72% |
| 18 | WONG Nicholas A. | 1% | 8% | 27% | 39% | 23% | 2% |
| 19 | RHYU Kozmo | - | 1% | 7% | 26% | 42% | 24% |
| 20 | SIMPSON Patrick | 8% | 29% | 37% | 20% | 5% | - |
| 21 | RICHARD Owen | - | 7% | 28% | 39% | 21% | 4% |
| 22 | JIN Owen | - | 3% | 16% | 38% | 34% | 9% |
| 23 | GOHEL Dayus T. | - | 2% | 13% | 35% | 38% | 13% |
| 24 | RUSSANOV Dennis | - | 2% | 14% | 35% | 36% | 13% |
| 25 | JEYOON Ryan S. | - | 4% | 21% | 40% | 29% | 7% |
| 26 | SILVERS Noah E. | - | - | 1% | 11% | 40% | 47% |
| 27 | SHAH Maximilian A. | - | 3% | 18% | 43% | 30% | 6% |
| 28 | HE Lawrence | 2% | 14% | 32% | 34% | 15% | 2% |
| 29 | SJOSTEDT Jacob H. | - | - | 3% | 18% | 45% | 34% |
| 30 | NOVOJILOV Alexei | 2% | 24% | 43% | 25% | 5% | - |
| 31 | LEE Daniel Y. | - | 3% | 15% | 36% | 35% | 12% |
| 32 | JIN Daniel | 1% | 18% | 41% | 32% | 9% | - |
| 33 | PAPAVASSILIOU Christos | 12% | 34% | 35% | 16% | 3% | < 1% |
| 34 | SHIV Rishi | 1% | 8% | 32% | 43% | 15% | 1% |
| 35 | CHOI Mason | 6% | 28% | 42% | 20% | 4% | < 1% |
| 36 | GIBSON Nowell L. | - | - | 1% | 8% | 36% | 55% |
| 37 | KIM Tei D. | 1% | 8% | 28% | 41% | 21% | 2% |
| 38 | LI Benjamin | - | 11% | 35% | 39% | 15% | 1% |
| 39 | LEE Hudson | 6% | 32% | 42% | 18% | 2% | - |
| 40 | GUI Runlin | 1% | 11% | 33% | 36% | 17% | 3% |
| 41 | PRIHODKO Max | - | 8% | 33% | 40% | 17% | 2% |
| 42 | PARK Ian C. | - | 3% | 17% | 40% | 33% | 7% |
| 42 | MORSE Tyler | - | 7% | 29% | 41% | 21% | 2% |
| 44 | MISHIMA Torata | 2% | 18% | 39% | 30% | 10% | 1% |
| 45 | FELDMAN Jaemin | 1% | 11% | 31% | 37% | 17% | 2% |
| 46 | BASOK Nikita | 5% | 25% | 40% | 24% | 6% | - |
| 47 | ROYTBURD Samuel | 39% | 43% | 15% | 2% | - | - |
| 48 | LOYOLA TORRIENTE Padick | - | 4% | 19% | 37% | 31% | 7% |
| 49 | LIU Frank | - | 7% | 30% | 41% | 19% | 2% |
| 50 | LEE Noah | - | 3% | 15% | 35% | 35% | 12% |
| 51 | BANKULLA Nihal R. | 9% | 30% | 37% | 20% | 4% | - |
| 52 | O'HARA Keegan J. | - | - | 3% | 21% | 51% | 24% |
| 52 | PARK Frederick | 17% | 43% | 30% | 9% | 1% | - |
| 54 | KIM William M. | - | 3% | 13% | 33% | 37% | 14% |
| 54 | ROWE Jason | 16% | 40% | 32% | 10% | 1% | - |
| 56 | MACARTY Jordan T. | 4% | 19% | 37% | 30% | 10% | 1% |
| 57 | KIM Byung | 3% | 27% | 41% | 23% | 5% | - |
| 58 | ZHAO Luhan | 3% | 26% | 43% | 24% | 4% | - |
| 59 | TUCKER Owen J. | - | 15% | 39% | 34% | 11% | - |
| 60 | CHATZIKALFAS Dimitris E. | 4% | 24% | 41% | 25% | 6% | - |
| 61 | WANG Eric S | 7% | 32% | 39% | 18% | 3% | - |
| 62 | BINDAS Odinn A. | 17% | 38% | 31% | 12% | 2% | - |
| 63 | LI Jalen | 46% | 41% | 12% | 1% | - | - |
| 64 | WU Jonathan | 51% | 39% | 10% | 1% | - | - |
| 65 | SINGH Aryaman | 17% | 45% | 30% | 7% | 1% | - |
| 66 | DIXON Samuel | - | 4% | 20% | 42% | 30% | 4% |
| 67 | GAO Daniel | 18% | 42% | 30% | 9% | 1% | - |
| 68 | POZOVSKIY Mitchell R. | 4% | 25% | 44% | 22% | 4% | - |
| 69 | CHOE Andrew | 6% | 24% | 36% | 25% | 8% | 1% |
| 70 | ROLLO Emmett H. | 27% | 44% | 23% | 5% | - | - |
| 71 | ZHAO corey | 5% | 25% | 40% | 23% | 6% | - |
| 72 | MARTINEZ Joshua | 14% | 48% | 30% | 7% | 1% | - |
| 73 | PAHLAVI Kamran | 8% | 37% | 40% | 13% | 1% | - |
| 74 | LI Jeffrey | 9% | 37% | 38% | 14% | 2% | - |
| 75 | WHITEHURST JJ | 20% | 40% | 29% | 9% | 1% | - |
| 76 | ZHANG William | 44% | 43% | 12% | 1% | - | - |
| 77 | DIXON Thomas | 20% | 40% | 29% | 9% | 1% | - |
| 78 | SERAFIN Ben | 32% | 45% | 20% | 3% | - | - |
| 79 | LAM Bill | 71% | 26% | 3% | - | - | - |
| 80 | LIU Terry | 61% | 34% | 5% | - | - | - |
| 80 | ZHANG Richard | 49% | 39% | 11% | 1% | - | - |
| 82 | FENWICK Luke A. | 5% | 24% | 37% | 25% | 7% | 1% |
| 82 | WANG Trontour | 66% | 29% | 5% | - | - | - |
| 84 | WANG Max S | 92% | 8% | - | - | - | - |
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.