Floyd Little Athletic Center - New Haven, CT, 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 | SONG Angela | - | - | - | - | 6% | 39% | 55% |
| 2 | WANG Chloe | - | - | 1% | 8% | 29% | 47% | 15% |
| 3 | DESANTIS-IBANEZ Elena | - | - | 1% | 7% | 26% | 43% | 24% |
| 3 | LI Fei | - | - | < 1% | 2% | 12% | 40% | 47% |
| 5 | ADYANTHAYA Anika | - | - | 1% | 9% | 30% | 41% | 19% |
| 6 | LIN Elaine | - | - | - | - | 5% | 33% | 62% |
| 7 | WANG Sophie Y. | - | - | 3% | 15% | 36% | 35% | 11% |
| 8 | LIANG Carina | - | 3% | 18% | 37% | 31% | 10% | 1% |
| 9 | FURMAN Maria | - | - | - | 1% | 7% | 37% | 55% |
| 10 | XIAO Katelyn | - | 2% | 12% | 32% | 36% | 16% | 2% |
| 11 | DHAIYA Tanya | - | - | - | 4% | 22% | 52% | 22% |
| 12 | ZHANG Ashley | 1% | 8% | 26% | 37% | 23% | 6% | 1% |
| 13 | MENG YIFAN | - | - | 1% | 9% | 30% | 41% | 19% |
| 14 | GANSER Nicole | - | 1% | 9% | 32% | 42% | 17% | |
| 15 | YANG Hanting(Catherine) | - | - | 1% | 9% | 28% | 41% | 20% |
| 16 | LI Caroline | - | - | 1% | 9% | 33% | 46% | 11% |
| 17 | BALAZS Luca | - | - | 5% | 25% | 44% | 25% | |
| 18 | LAW Mila | - | - | 5% | 20% | 38% | 30% | 7% |
| 19 | QI Julieanne | - | - | - | 3% | 16% | 40% | 39% |
| 20 | VENKATESAN Harshitha | - | 4% | 17% | 33% | 31% | 13% | 2% |
| 21 | LI Alice | - | 1% | 9% | 30% | 41% | 17% | 2% |
| 22 | GOH Cayla | - | - | 2% | 12% | 34% | 38% | 14% |
| 23 | HOAGLAND Sally | 1% | 8% | 30% | 38% | 18% | 4% | - |
| 24 | WILLIAMSON Beatrix | - | 3% | 15% | 34% | 33% | 13% | 2% |
| 24 | WARD Imani | 3% | 28% | 41% | 22% | 5% | 1% | - |
| 26 | SHEIKH PAREE | - | 6% | 24% | 40% | 26% | 5% | - |
| 27 | LI Nicole | 3% | 23% | 41% | 26% | 6% | - | - |
| 28 | WANG Trinity | - | - | 1% | 7% | 27% | 43% | 22% |
| 29 | XU Jessica | - | 2% | 17% | 39% | 33% | 9% | |
| 30 | FOMINA Polina | 1% | 11% | 32% | 38% | 16% | 2% | - |
| 31 | JU Jennifer | 1% | 8% | 28% | 39% | 21% | 3% | - |
| 32 | LAU Karina | 21% | 49% | 25% | 5% | - | - | |
| 33 | WEI Sherry | - | 1% | 7% | 27% | 39% | 22% | 4% |
| 34 | JIANG Chenxi (Dora) Missing ID | |||||||
| 34 | IVANOV Angela-Sophie | 3% | 19% | 37% | 30% | 11% | 2% | - |
| 36 | YANAGIDA Coco | 4% | 20% | 35% | 29% | 11% | 1% | - |
| 37 | SONKU Mira | 1% | 19% | 42% | 29% | 9% | 1% | - |
| 38 | LIU Chloe | 1% | 8% | 24% | 35% | 24% | 8% | 1% |
| 39 | YU Livia | 2% | 12% | 31% | 34% | 17% | 3% | - |
| 40 | DING Iris Siyue | 8% | 34% | 39% | 17% | 3% | - | - |
| 41 | CHEN Alina | - | 3% | 13% | 30% | 34% | 18% | 3% |
| 42 | PETROFF Eva | - | 3% | 19% | 38% | 30% | 9% | 1% |
| 43 | SUN Nicole | 2% | 14% | 35% | 34% | 13% | 1% | - |
| 44 | HALL Henrietta | 24% | 43% | 25% | 6% | 1% | - | - |
| 44 | ZHENG Kristen | 16% | 46% | 30% | 8% | 1% | - | - |
| 46 | ZHU Una | 2% | 15% | 41% | 32% | 10% | 1% | |
| 47 | CHEN Allison | 3% | 21% | 37% | 28% | 9% | 1% | - |
| 48 | REDWINE Louise | 48% | 42% | 10% | 1% | - | - | |
| 49 | CHERNOBRIVETS Maria | 2% | 16% | 33% | 31% | 15% | 3% | - |
| 50 | STOCKTON Catherine | 9% | 29% | 36% | 21% | 5% | - | - |
| 51 | XU Mulan | 2% | 31% | 42% | 21% | 4% | - | - |
| 52 | GRUDZINSKI Josephine | 45% | 39% | 14% | 2% | - | - | - |
| 53 | DU Andria | 2% | 13% | 31% | 34% | 16% | 3% | - |
| 54 | BI Michelle | 2% | 13% | 31% | 33% | 17% | 4% | - |
| 55 | YOUN Emily | 1% | 15% | 37% | 32% | 12% | 2% | - |
| 56 | WORMHOOD Alexa | 50% | 40% | 9% | 1% | - | - | - |
| 57 | WESTERFELD Zoey | 87% | 13% | 1% | - | - | - | - |
| 58 | CROWDER Julia | 16% | 36% | 32% | 13% | 2% | - | - |
| 59 | BARMAN Willa | 1% | 9% | 32% | 38% | 17% | 3% | - |
| 60 | REID Forrest | 44% | 40% | 13% | 2% | - | - | - |
| 61 | SHABBIR Aiza | 55% | 36% | 9% | 1% | - | - | - |
| 62 | FOUDA Habeeba | 23% | 44% | 26% | 6% | 1% | - | - |
| 63 | AUDET Scarlett | 79% | 20% | 2% | - | - | - | - |
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.