SportsPlex at Metuchen - Metuchen, NJ, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | CHEN Lefu | 100% | 100% | 100% | 100% | 100% | 98% | 76% |
| 2 | QI Jarynne Valerie | 100% | 100% | 98% | 82% | 43% | 9% | |
| 3 | SONG Angela | 100% | 100% | 100% | 100% | 94% | 71% | 27% |
| 3 | HONG Elaine | 100% | 100% | 100% | 97% | 78% | 35% | |
| 5 | SHANKERDAS Shreeya | 100% | 89% | 49% | 12% | 1% | < 1% | |
| 6 | LIN Elaine | 100% | 100% | 100% | 96% | 78% | 42% | 9% |
| 7 | MISHIMA Audrey | 100% | 99% | 93% | 70% | 34% | 7% | - |
| 8 | WITTE Vera | 100% | 100% | 100% | 100% | 95% | 73% | 30% |
| 9 | LEE Scarlett | 100% | 100% | 100% | 97% | 83% | 47% | 11% |
| 10 | LU Junyao | 100% | 100% | 100% | 100% | 95% | 74% | 31% |
| 11 | RAKHOVSKI Alexandra | 100% | 100% | 100% | 99% | 92% | 63% | 21% |
| 12 | REID Anousheh | 100% | 100% | 100% | 99% | 92% | 64% | 21% |
| 13 | LEE Claire | 100% | 99% | 89% | 59% | 23% | 4% | |
| 14 | PRIHODKO Nina | 100% | 100% | 99% | 89% | 56% | 15% | |
| 15 | AZMEH Nour | 100% | 100% | 99% | 89% | 61% | 24% | 4% |
| 16 | LI Alisha | 100% | 100% | 100% | 99% | 90% | 60% | 19% |
| 17 | YOU Isabel B. | 100% | 100% | 96% | 78% | 41% | 11% | 1% |
| 18 | LI Fei | 100% | 100% | 97% | 81% | 45% | 11% | |
| 19 | TOLBA Salma | 100% | 100% | 100% | 95% | 71% | 27% | |
| 20 | FENG ge | 100% | 100% | 100% | 97% | 77% | 32% | |
| 21 | AI Amy | 100% | 100% | 99% | 94% | 72% | 32% | 6% |
| 22 | BRUNSON Nile | 100% | 100% | 97% | 83% | 50% | 16% | 2% |
| 23 | ZHU Serene M. | 100% | 100% | 99% | 91% | 65% | 24% | |
| 24 | BASRALIAN Azniv | 100% | 100% | 93% | 69% | 28% | 4% | |
| 25 | LEE Lavender | 100% | 92% | 63% | 26% | 5% | - | |
| 25 | SHU Youshan | 100% | 100% | 99% | 87% | 52% | 14% | |
| 27 | PRESMAN Aerin | 100% | 98% | 83% | 43% | 11% | 1% | |
| 28 | SUN Zeyu | 100% | 100% | 96% | 79% | 43% | 11% | 1% |
| 29 | FURMAN Maria | 100% | 100% | 100% | 95% | 74% | 35% | 7% |
| 30 | KRUMHOLZ Nicole | 100% | 100% | 99% | 94% | 72% | 32% | 3% |
| 31 | ZHENG Linden | 100% | 99% | 92% | 65% | 26% | 5% | - |
| 32 | TONG Lauren | 100% | 95% | 69% | 30% | 7% | 1% | - |
| 33 | MIN Melinda | 100% | 99% | 93% | 68% | 29% | 6% | - |
| 34 | PAN Angela | 100% | 96% | 74% | 35% | 8% | 1% | - |
| 35 | CLAYTON Alanna | 100% | 100% | 96% | 74% | 32% | 5% | |
| 36 | CHANG Chloe | 100% | 95% | 67% | 26% | 5% | - | - |
| 37 | CANNING Charlotte | 100% | 100% | 99% | 93% | 65% | 20% | |
| 38 | LI Suri | 100% | 100% | 99% | 91% | 63% | 25% | 4% |
| 39 | FU Yingjia | 100% | 78% | 36% | 8% | 1% | - | - |
| 40 | MEYER Rebecca | 100% | 96% | 73% | 32% | 7% | 1% | - |
| 41 | YANG Charlotte | 100% | 95% | 71% | 33% | 8% | 1% | - |
| 42 | ELKHATEEB Fajr | 100% | 97% | 75% | 35% | 8% | 1% | - |
| 43 | MILLER Cassandra | 100% | 69% | 27% | 6% | 1% | - | - |
| 44 | REKEDA Anna | 100% | 96% | 70% | 28% | 5% | - | |
| 45 | COLELLA Lauren | 100% | 89% | 54% | 18% | 3% | - | |
| 46 | MEYER Rachel | 100% | 84% | 38% | 8% | 1% | - | |
| 47 | SHAKIR Inaaya | 100% | 93% | 62% | 23% | 4% | - | |
| 48 | PAI Remi | 100% | 66% | 23% | 4% | - | - | |
| 49 | SANLIKOL Suzan | 100% | 66% | 23% | 4% | - | - | |
| 50 | SEREGIN Katya | 100% | 79% | 37% | 9% | 1% | - | - |
| 51 | XU Priscilla | 100% | 93% | 59% | 21% | 4% | - | - |
| 52 | LEE Claudia | 100% | 60% | 17% | 2% | - | - | - |
| 53 | JUDICKE Olivia | 100% | 83% | 42% | 11% | 1% | - | - |
| 54 | SAZONOVA Alexandra | 100% | 86% | 45% | 11% | 1% | - | - |
| 55 | FAKTOR Emily | 100% | 47% | 9% | 1% | - | - | |
| 56 | SOND Bani | 100% | 97% | 79% | 43% | 12% | 1% | |
| 57 | FANG Kayla | 100% | 49% | 10% | 1% | - | - | |
| 58 | SATO Elyse | 100% | 40% | 7% | 1% | - | - | - |
| 58 | ZHANG ANGELA | 100% | 74% | 31% | 6% | 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.