SportsPlex at Metuchen - Metuchen, NJ, 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 | RANDLEMAN Teresa | - | - | - | 2% | 13% | 39% | 46% |
| 2 | YOU Emily | - | - | - | 1% | 9% | 36% | 54% |
| 3 | PROFIS Liora | - | - | 1% | 10% | 39% | 50% | |
| 3 | LEE Claire | - | - | 2% | 15% | 42% | 41% | |
| 5 | SHU Youshan | - | - | - | 3% | 16% | 41% | 40% |
| 6 | DEPOMMIER Isabelle | - | - | 5% | 24% | 44% | 26% | |
| 7 | PRESMAN Aerin | - | 3% | 17% | 38% | 33% | 8% | |
| 8 | YOU Isabel B. | - | 1% | 8% | 26% | 37% | 23% | 4% |
| 9 | FURMAN Maria | - | - | 1% | 10% | 38% | 52% | |
| 10 | LIN Elaine | - | - | - | - | 5% | 29% | 66% |
| 11 | FENG Ge | - | - | - | 1% | 10% | 38% | 51% |
| 12 | SEREGIN Katya | - | 1% | 6% | 26% | 40% | 24% | 4% |
| 13 | LEE Gloria Y. | 1% | 6% | 25% | 39% | 24% | 5% | |
| 14 | MA Sophie | - | 2% | 12% | 30% | 35% | 18% | 3% |
| 15 | QI Julieanne | - | 4% | 20% | 39% | 30% | 6% | |
| 16 | WATTANAKIT Anda | - | < 1% | 2% | 14% | 42% | 42% | |
| 17 | CHATIKHINE Anastasia | - | 1% | 8% | 25% | 38% | 24% | 3% |
| 18 | XENOPHONTOS Sophia | - | 3% | 15% | 33% | 33% | 14% | 2% |
| 19 | MONOVA Lilyana | - | 2% | 13% | 35% | 39% | 12% | |
| 20 | TAM Connie | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 21 | WEI Sherry | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 22 | SMOTRITSKY Liat | - | 2% | 13% | 31% | 35% | 17% | 2% |
| 23 | ZOU You yang (Yoyo) | 2% | 14% | 35% | 34% | 13% | 1% | |
| 24 | REKEDA Anna | - | - | 4% | 19% | 38% | 31% | 6% |
| 25 | KAUR Manroop | 1% | 9% | 27% | 35% | 21% | 6% | - |
| 26 | MISHIMA Audrey | - | - | 5% | 24% | 41% | 26% | 4% |
| 27 | CASHMAN Amanda | 1% | 10% | 30% | 36% | 19% | 4% | - |
| 28 | PAN Angela | 4% | 22% | 40% | 27% | 7% | 1% | |
| 29 | YANG Charlotte | 3% | 17% | 37% | 32% | 11% | 1% | |
| 30 | SHANKERDAS Shreeya | 1% | 8% | 25% | 35% | 24% | 7% | 1% |
| 31 | GOODSON Tia | 6% | 23% | 35% | 25% | 9% | 2% | - |
| 32 | WANG Sophie Y. | 3% | 20% | 39% | 29% | 8% | 1% | |
| 33 | NGUYEN Ashley L. | - | 2% | 15% | 38% | 36% | 8% | |
| 34 | ILYAS Ayah | 1% | 14% | 40% | 33% | 10% | 1% | |
| 35 | WILLIAMSON Beatrix | - | 4% | 21% | 41% | 28% | 6% | |
| 36 | LIN Laura | 1% | 8% | 27% | 40% | 22% | 3% | |
| 37 | KWON Elise | 1% | 6% | 23% | 36% | 26% | 8% | - |
| 38 | HOAGLAND Sally | 1% | 14% | 38% | 34% | 11% | 1% | |
| 39 | KELLEY Elise | 4% | 30% | 40% | 21% | 5% | - | - |
| 40 | SHETH Anayaà | 6% | 30% | 42% | 18% | 3% | - | - |
| 41 | SAYAGUES Isabella | - | 3% | 16% | 35% | 33% | 12% | 1% |
| 42 | MEYER Rebecca | - | 7% | 26% | 37% | 23% | 6% | - |
| 43 | AGAON Evelyn | - | 1% | 8% | 31% | 39% | 18% | 2% |
| 44 | LEEB Zoe | 40% | 42% | 15% | 2% | - | - | |
| 45 | NOVOJILOV Anastasia | - | 1% | 8% | 30% | 43% | 19% | |
| 46 | ZHENG Erin | 7% | 40% | 38% | 13% | 2% | - | |
| 47 | CHEN Alicia | - | 7% | 29% | 40% | 20% | 3% | |
| 48 | GOH Cayla | 15% | 39% | 33% | 11% | 2% | - | |
| 49 | LI Caroline | 13% | 38% | 34% | 13% | 2% | - | |
| 50 | WANG Selina | 10% | 36% | 36% | 15% | 2% | - | |
| 51 | GEFFNER Olivia | 25% | 46% | 25% | 5% | - | - | - |
| 52 | MILLER Cassandra | 23% | 48% | 24% | 5% | - | - | |
| 53 | CURRIE Keira | 1% | 9% | 27% | 35% | 21% | 6% | 1% |
| 54 | SATO Elyse | 22% | 42% | 27% | 8% | 1% | - | - |
| 55 | COMBS Hannah | 66% | 29% | 5% | - | - | - | - |
| 56 | WU Madisen | 8% | 36% | 37% | 16% | 3% | - | - |
| 57 | HE Lizbeth | 17% | 39% | 30% | 11% | 2% | - | - |
| 58 | CHEN Alina | 4% | 20% | 35% | 29% | 11% | 1% | - |
| 59 | YAFFE Violet | 46% | 39% | 13% | 2% | - | - | - |
| 60 | WROBEL Julia | 32% | 43% | 20% | 4% | - | - | |
| 61 | REISNER Gabriella | 31% | 44% | 21% | 4% | - | - | |
| 62 | XIAO Katelyn | 27% | 46% | 23% | 4% | - | - | - |
| 63 | ALVAREZ Martine | 42% | 44% | 13% | 1% | - | - | |
| 64 | SOLOFF Jessica | 62% | 32% | 6% | - | - | - | |
| 65 | LIN Cynthia | 23% | 41% | 27% | 8% | 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.