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 | CHUSID Mikayla | - | - | - | - | - | 5% | 95% |
| 2 | NISSINOFF Alexandra | - | - | - | 1% | 11% | 41% | 46% |
| 3 | CALISE Ella | - | - | - | 3% | 31% | 66% | |
| 3 | MCSHERRY Ava | - | - | 3% | 18% | 45% | 34% | |
| 5 | FENG Grace | - | - | - | - | 6% | 33% | 60% |
| 6 | PAULUS Sloane E. | - | - | 3% | 25% | 55% | 16% | |
| 7 | TANG Melody Fujiao | 2% | 12% | 33% | 35% | 16% | 2% | |
| 8 | YU Jane | - | 12% | 36% | 37% | 14% | 2% | |
| 9 | DAI Zizhuo (Zizi) | - | - | - | 3% | 17% | 42% | 38% |
| 10 | KAPRAN Anastasia | - | 4% | 17% | 35% | 33% | 11% | - |
| 11 | SHIM Grace J. | - | - | 3% | 19% | 45% | 33% | |
| 12 | ZHENG Julie | - | - | 4% | 19% | 42% | 34% | |
| 13 | PEVZNER Nicole | - | 2% | 11% | 32% | 39% | 16% | |
| 14 | WANG Yudi | 2% | 19% | 45% | 28% | 6% | - | |
| 15 | HARRIS Julia | 1% | 15% | 39% | 34% | 11% | 1% | |
| 16 | PAULUS Isabella | 1% | 10% | 29% | 37% | 19% | 3% | |
| 17 | WANG Jasmine | - | - | 6% | 28% | 45% | 20% | |
| 18 | LI Eleanor | - | 1% | 8% | 29% | 43% | 19% | |
| 19 | CHOW Annabelle | - | - | 3% | 21% | 45% | 30% | |
| 20 | WANG Sabrina | - | - | 3% | 15% | 37% | 37% | 8% |
| 21 | DIMATULAC Elise Ann | - | 1% | 9% | 29% | 38% | 20% | 3% |
| 22 | WANG Joanna | - | 1% | 8% | 26% | 41% | 24% | 1% |
| 23 | SHMAY Anastasia | - | 1% | 6% | 25% | 43% | 25% | |
| 24 | WANG Amabel | - | 4% | 20% | 38% | 29% | 7% | |
| 25 | BABIAC Julia | 1% | 12% | 33% | 36% | 16% | 2% | |
| 26 | SHENG Katherine | 1% | 11% | 32% | 37% | 16% | 2% | |
| 27 | ZHANG Selena | - | 2% | 17% | 42% | 32% | 7% | |
| 28 | HWANG Chanel | 4% | 22% | 40% | 26% | 8% | 1% | - |
| 29 | LI Han (Helina) | - | 5% | 36% | 41% | 15% | 2% | |
| 30 | CHENG Isa | 15% | 38% | 32% | 12% | 2% | - | |
| 31 | BASILE Gianna | 3% | 17% | 35% | 31% | 12% | 2% | - |
| 32 | LI Xiang (Shining) | 28% | 46% | 22% | 3% | - | - | |
| 33 | BING Charlotte | 1% | 8% | 27% | 39% | 21% | 4% | - |
| 34 | YURKOVA Mariia | - | - | 1% | 9% | 32% | 43% | 14% |
| 35 | BERGEL Daphne | - | 2% | 14% | 36% | 36% | 11% | 1% |
| 36 | KIM Claire | 15% | 41% | 32% | 10% | 1% | - | - |
| 37 | LI Katerina | 11% | 47% | 33% | 8% | 1% | - | |
| 38 | JOO Natalie | - | 2% | 23% | 44% | 26% | 5% | |
| 39 | LAWRENCE Nia | 21% | 46% | 28% | 5% | - | - | |
| 40 | LIU Jingyi (Eva) | - | 3% | 17% | 37% | 31% | 10% | 1% |
| 41 | ORBE-AUSTIN Nia | 57% | 35% | 8% | 1% | - | - | - |
| 42 | LEVY Avery | - | 1% | 10% | 30% | 39% | 17% | 2% |
| 43 | HUANG Sophie | 24% | 41% | 26% | 8% | 1% | - | - |
| 44 | DONG Angela | - | 6% | 28% | 49% | 17% | 1% | |
| 45 | TSIMIKLIS Aphrodite | 2% | 28% | 43% | 23% | 5% | - | |
| 46 | BADLANI Diya | 18% | 42% | 30% | 9% | 1% | - | |
| 47 | MARTIRE Alessandra | 6% | 27% | 39% | 23% | 5% | - | - |
| 48 | SUN Isabella | 1% | 14% | 35% | 34% | 13% | 2% | - |
| 49 | WU Celine | - | < 1% | 6% | 29% | 45% | 19% | |
| 50 | CULLEN Alyssa | 10% | 36% | 40% | 13% | 1% | - | |
| 51 | BELISTRI Isabella | 78% | 20% | 1% | - | - | - | |
| 52 | CHUNG Chloe | 26% | 42% | 25% | 7% | 1% | - | |
| 53 | ROZPEDOWSKI Claire | - | < 1% | 3% | 15% | 37% | 35% | 10% |
| 54 | WANG Nicky | 3% | 21% | 38% | 28% | 9% | 1% | - |
| 55 | CHOI Erin | 35% | 44% | 18% | 3% | - | - | - |
| 56 | LIN Yunong | 9% | 34% | 37% | 16% | 3% | - | - |
| 57 | MCFARLANE Asha | 9% | 31% | 36% | 19% | 4% | - | - |
| 58 | LYON Claire | 2% | 16% | 35% | 32% | 13% | 2% | - |
| 59 | FENG Audrey | 2% | 14% | 32% | 34% | 15% | 3% | - |
| 60 | LAZAR Carolina | 66% | 30% | 4% | - | - | - | |
| 61 | ANRIG Sydney | 11% | 70% | 17% | 1% | - | - | |
| 62 | WAN Celine | 84% | 15% | 1% | - | - | - | |
| 62 | BERG Samara | 36% | 46% | 16% | 2% | - | - | |
| 64 | MCDERMOTT Catherine | 37% | 43% | 17% | 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.