Danvers Indoor Sports - DANVERS, MA, 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 | SINGLETON Aman | - | - | - | 1% | 7% | 34% | 58% |
| 2 | ZHAI Junqi | - | - | - | 3% | 17% | 44% | 35% |
| 3 | CAFASSO Alexander | - | - | 1% | 6% | 26% | 46% | 21% |
| 3 | CHEN Tianjun | - | 1% | 5% | 18% | 34% | 31% | 10% |
| 5 | KABA Elias | - | - | 1% | 12% | 48% | 39% | |
| 6 | LUO Alexander | - | - | 1% | 6% | 31% | 63% | |
| 7 | SZCZAPA Lukas | - | 1% | 6% | 23% | 42% | 28% | |
| 8 | YAKHNIS Seth | - | 1% | 8% | 28% | 41% | 22% | |
| 9 | WANG Eason | - | 1% | 6% | 20% | 35% | 29% | 9% |
| 10 | TANG Luke | 1% | 6% | 22% | 37% | 27% | 7% | |
| 11 | CHEN Evan | - | - | 4% | 22% | 46% | 28% | |
| 12 | BHANDARE Veer | - | 2% | 10% | 30% | 39% | 18% | |
| 13 | MANUEL Eli | - | 3% | 14% | 33% | 36% | 14% | |
| 14 | MANSFIELD Hunter | - | - | 4% | 20% | 40% | 30% | 5% |
| 15 | CHALLAMEL Hadrien | 1% | 7% | 30% | 45% | 16% | 2% | |
| 16 | FOGEL Jake | 1% | 5% | 21% | 37% | 28% | 7% | |
| 17 | LAI Jayden | 2% | 14% | 37% | 35% | 12% | 1% | |
| 18 | CARPENTER Touma S. | - | - | 2% | 16% | 49% | 33% | |
| 19 | LIU-XUE Shuliang | 3% | 20% | 39% | 28% | 9% | 1% | - |
| 20 | ZHU Brady | 1% | 6% | 21% | 36% | 28% | 8% | |
| 21 | ROFINO Samuel | 3% | 17% | 35% | 32% | 11% | 1% | |
| 22 | BRESLAV Asher | 1% | 12% | 31% | 36% | 18% | 3% | |
| 23 | ZHENG Jason | - | 1% | 5% | 22% | 42% | 30% | |
| 24 | PUTHOFF Henry | - | 4% | 17% | 35% | 33% | 10% | |
| 25 | SONG Aidan | - | - | 5% | 24% | 45% | 25% | |
| 26 | LIU George | 1% | 10% | 27% | 35% | 21% | 6% | 1% |
| 27 | KLOTS Theo | 8% | 32% | 42% | 16% | 2% | - | |
| 28 | ZINCHUK Yuri | 6% | 22% | 34% | 26% | 11% | 2% | - |
| 29 | LI Jayden | 4% | 29% | 40% | 21% | 5% | - | - |
| 30 | HOREMIOTIS Bennett | 1% | 11% | 34% | 37% | 14% | 2% | |
| 31 | THOMAS Andrew | - | 1% | 9% | 29% | 39% | 20% | 2% |
| 32 | CHEN Hayden | 7% | 27% | 37% | 23% | 6% | 1% | |
| 33 | CHEN Cameron | 2% | 11% | 31% | 35% | 18% | 3% | |
| 34 | WILLIAMS Gavin | 2% | 12% | 31% | 34% | 17% | 3% | - |
| 35 | CHEN Jayden A | 5% | 20% | 33% | 28% | 12% | 3% | - |
| 36 | APFELBAUM Noam | - | 2% | 10% | 25% | 34% | 23% | 7% |
| 37 | GILLARD Adan | 7% | 27% | 37% | 22% | 6% | 1% | |
| 38 | CIANCHETTA David | 11% | 33% | 35% | 16% | 3% | - | |
| 39 | HOLBROOK Silas | 5% | 23% | 38% | 26% | 8% | 1% | |
| 39 | KESELMAN Ron | 16% | 38% | 32% | 12% | 2% | - | |
| 41 | RUDIGER George | 11% | 33% | 35% | 17% | 3% | - | |
| 42 | RICHARDSON Matthew | 15% | 37% | 33% | 13% | 2% | - | |
| 43 | PINCIROLI Tommaso | 8% | 32% | 37% | 18% | 4% | - | |
| 44 | ZHENG Jasper | 1% | 9% | 28% | 38% | 22% | 3% | |
| 45 | YADAV Aarav | 8% | 29% | 37% | 20% | 5% | - | |
| 46 | LEE Ryan | 21% | 46% | 28% | 5% | - | - | |
| 47 | CAVALLARO Sebastian | 5% | 21% | 36% | 27% | 9% | 1% | - |
| 48 | DAI Jason | 3% | 16% | 34% | 32% | 13% | 2% | |
| 49 | NOVAK Luke | 5% | 23% | 37% | 26% | 7% | - | |
| 50 | LEE Harrison | 1% | 6% | 23% | 38% | 26% | 6% | |
| 51 | YOON Jonathan | 14% | 36% | 33% | 14% | 2% | - | |
| 51 | YU MAXIMILIAN | 20% | 45% | 28% | 7% | 1% | - | |
| 53 | SCHLUBACH Jasper | 7% | 24% | 34% | 24% | 9% | 2% | - |
| 54 | CHEN Daniel | - | 7% | 26% | 39% | 23% | 5% | - |
| 55 | ZOU Grant | 7% | 26% | 36% | 24% | 7% | 1% | - |
| 57 | HERIGSTAD Daniel | 36% | 44% | 17% | 3% | - | - | |
| 58 | LAZORISAK Andrew | 5% | 22% | 34% | 26% | 10% | 2% | - |
| 59 | LIU Easun | 26% | 41% | 25% | 7% | 1% | - | |
| 60 | CARPENTER Taisei | 23% | 41% | 27% | 8% | 1% | - | |
| 61 | ZHANG Jacob | 18% | 38% | 31% | 11% | 2% | - | - |
| 61 | JIN Noah | 30% | 46% | 21% | 3% | - | - | |
| 63 | GREGORY Milo | 57% | 35% | 8% | 1% | - | - | - |
| 64 | MILOWSKY Majai | 20% | 40% | 29% | 9% | 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.