Rockland Community College, Eugene Levy Field House - Suffern, NY, 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 | ZHONG Evelyn | 100% | 100% | 98% | 85% | 52% | 15% | |
| 2 | ZHU Una | 100% | 100% | 100% | 96% | 77% | 38% | 7% |
| 3 | DESANTIS-IBANEZ Elena | 100% | 100% | 100% | 100% | 98% | 85% | 45% |
| 3 | NOVOJILOV Anastasia | 100% | 100% | 100% | 100% | 96% | 67% | |
| 5 | SHAYAKHMETOVA Suzanna | 100% | 100% | 100% | 100% | 98% | 83% | 41% |
| 6 | KAKANI Aditi | 100% | 99% | 91% | 66% | 30% | 6% | |
| 7 | SUICO Kyubi Emmanuelle | 100% | 100% | 100% | 100% | 99% | 89% | 50% |
| 8 | XIAO Katelyn | 100% | 100% | 98% | 84% | 52% | 15% | |
| 9 | MENG YIFAN | 100% | 100% | 100% | 100% | 98% | 87% | 49% |
| 10 | TIAN Victoria | 100% | 99% | 91% | 66% | 30% | 7% | - |
| 11 | JIANG chenxi | 100% | 100% | 99% | 88% | 52% | 13% | |
| 12 | YU Livia | 100% | 100% | 98% | 80% | 37% | 5% | |
| 13 | BOROTKO Katerina | 100% | 100% | 98% | 87% | 56% | 18% | |
| 14 | CHERNOBRIVETS Maria | 100% | 100% | 99% | 91% | 65% | 28% | 4% |
| 15 | LIN Cynthia | 100% | 100% | 95% | 76% | 40% | 9% | |
| 16 | YOON Cora | 100% | 100% | 93% | 66% | 27% | 5% | - |
| 17 | CHEN Madeline | 100% | 100% | 100% | 99% | 91% | 60% | 15% |
| 18 | BURROWS Beatrice | 100% | 100% | 98% | 88% | 59% | 22% | 3% |
| 19 | VENKATESAN Harshitha | 100% | 100% | 100% | 94% | 65% | 21% | |
| 20 | SALOUS Sarah | 100% | 100% | 100% | 94% | 72% | 33% | 6% |
| 21 | CHEN Sunny | 100% | 100% | 99% | 89% | 58% | 17% | |
| 22 | ZHANG Yuchen A. | 100% | 99% | 88% | 57% | 21% | 3% | |
| 23 | DING Iris Siyue | 100% | 98% | 85% | 54% | 20% | 4% | - |
| 24 | GIORGOBIANI Ketevani | 100% | 98% | 87% | 58% | 24% | 4% | |
| 25 | CHEN Allison | 100% | 99% | 91% | 55% | 15% | 1% | |
| 26 | LAU Karina | 100% | 89% | 55% | 20% | 4% | - | |
| 27 | SONKU Mira | 100% | 99% | 88% | 58% | 22% | 4% | |
| 27 | POYNTON Cora | 100% | 93% | 66% | 30% | 7% | 1% | |
| 29 | XU Mulan | 100% | 94% | 68% | 31% | 7% | 1% | |
| 30 | HSU Catherine | 100% | 99% | 86% | 51% | 16% | 2% | - |
| 31 | JAISON Carol | 100% | 71% | 28% | 5% | - | - | - |
| 32 | GRUDZINSKI Josephine | 100% | 81% | 40% | 11% | 2% | - | |
| 33 | JU Jennifer | 100% | 100% | 95% | 74% | 37% | 8% | |
| 34 | IVANOV Angela-Sophie | 100% | 100% | 98% | 87% | 56% | 20% | 3% |
| 35 | SHETH Anayaà | 100% | 100% | 99% | 92% | 68% | 30% | 5% |
| 36 | KAMENSKY Elina | 100% | 94% | 70% | 35% | 10% | 1% | |
| 37 | WU Madisen | 100% | 99% | 93% | 67% | 27% | 5% | - |
| 38 | BUES Caelan | 100% | 92% | 55% | 17% | 3% | - | - |
| 39 | WORMHOOD Alexa | 100% | 96% | 74% | 34% | 8% | 1% | - |
| 40 | SHEIKH PAREE | 100% | 100% | 96% | 70% | 26% | 3% | |
| 41 | ERIKSEN Kate | 100% | 98% | 81% | 38% | 9% | 1% | |
| 42 | TOBY kaja | 100% | 80% | 39% | 10% | 1% | - | |
| 43 | GOLIYAD Lisa | 100% | 100% | 96% | 82% | 49% | 14% | |
| 44 | CHI Evelyn | 100% | 68% | 19% | 2% | - | - | |
| 45 | SONG Charlotte | 100% | 100% | 98% | 86% | 52% | 15% | 1% |
| 46 | ZHENG Kristen | 100% | 99% | 92% | 67% | 31% | 7% | 1% |
| 47 | LEUNG Morgan | 100% | 78% | 37% | 10% | 1% | - | - |
| 48 | KOGAN Maya | 100% | 79% | 30% | 5% | - | - | |
| 49 | CHEN Sarah | 100% | 81% | 42% | 13% | 2% | - | |
| 50 | SULLIVAN Adela | 100% | 83% | 41% | 10% | 1% | - | - |
| 51 | TING Evelyn | 100% | 97% | 81% | 46% | 15% | 2% | - |
| 52 | PETRIZZO Anna | 100% | 85% | 47% | 15% | 3% | - | - |
| 53 | ANDERSON Brooke | 100% | 88% | 51% | 17% | 3% | - | - |
| 54 | KREIMER Alma | 100% | 92% | 63% | 27% | 6% | 1% | |
| 55 | ZHANG Anna | 100% | 54% | 11% | 1% | - | - | |
| 56 | AUDET Scarlett | 100% | 59% | 13% | 1% | - | - | |
| 57 | FASSBENDER Mia | 100% | 68% | 25% | 5% | - | - | - |
| 58 | WESTERFELD Zoey | 100% | 36% | 5% | - | - | - | - |
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.