Dallas Market Hall - Dallas, TX, 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 | BROWN Lola | - | - | - | 2% | 13% | 42% | 44% |
| 2 | TANG Melody Fujiao | - | - | - | 1% | 11% | 42% | 45% |
| 3 | DAVIS Logan | - | - | 1% | 12% | 43% | 43% | |
| 3 | DUAN Sophie | - | - | - | 5% | 30% | 65% | |
| 5 | ORBÉ-AUSTIN Maya | - | - | 2% | 12% | 35% | 39% | 12% |
| 6 | PARK Lina | - | - | - | - | 3% | 25% | 71% |
| 7 | ZHAO Olivia | - | 2% | 15% | 35% | 34% | 12% | 1% |
| 8 | CAO Kayla | - | - | 4% | 20% | 40% | 32% | 4% |
| 9 | PARK Zena | - | - | - | 6% | 27% | 47% | 19% |
| 10 | MCSHERRY Ava | - | - | - | - | 2% | 21% | 76% |
| 11 | LI Joy | - | - | - | 2% | 15% | 42% | 40% |
| 12 | ZHOU Joi | - | 2% | 16% | 37% | 33% | 10% | 1% |
| 13 | MARISI Gianna | - | - | - | - | 4% | 26% | 70% |
| 14 | LI Savannah | - | 1% | 7% | 25% | 41% | 25% | 2% |
| 15 | LAI Miranda | - | 2% | 19% | 42% | 30% | 7% | - |
| 16 | YIN Chloe | - | 1% | 7% | 25% | 40% | 23% | 4% |
| 17 | BING Charlotte | - | - | 2% | 18% | 46% | 34% | |
| 18 | LI Olivia | - | 5% | 19% | 35% | 30% | 10% | 1% |
| 19 | CHERNYKH Elina | - | - | 1% | 8% | 30% | 44% | 16% |
| 20 | WU Chingfei Amber | - | 1% | 12% | 33% | 38% | 16% | |
| 21 | ZEE Savannah | - | 2% | 13% | 35% | 36% | 13% | 1% |
| 22 | NEUMANN Erika | - | 6% | 28% | 42% | 22% | 2% | |
| 23 | NWODO Naila | - | 24% | 42% | 26% | 7% | 1% | |
| 24 | MCSHERRY Kayla | 1% | 8% | 29% | 41% | 19% | 2% | |
| 25 | LEE Jeemin | - | 4% | 22% | 39% | 28% | 7% | |
| 26 | FENG Audrey | - | 1% | 7% | 30% | 45% | 17% | |
| 27 | PECK Madeleine | 26% | 45% | 24% | 5% | - | - | |
| 28 | WATSON Evelyn | - | 6% | 34% | 42% | 17% | 2% | |
| 29 | KOU Elisha | - | 6% | 26% | 39% | 23% | 5% | - |
| 30 | KUTATELADZE Anna | 11% | 36% | 36% | 14% | 2% | - | - |
| 31 | HU Sophie | - | 12% | 35% | 36% | 15% | 2% | |
| 32 | HO Peyton | 24% | 41% | 26% | 8% | 1% | - | - |
| 33 | ORRINGER Lottie | - | 1% | 7% | 24% | 39% | 26% | 3% |
| 34 | KRAHE Annika | - | 2% | 13% | 34% | 37% | 15% | |
| 35 | GOITIA Genevieve | 1% | 20% | 42% | 29% | 7% | - | |
| 36 | MIYOSHI Kylie | - | 4% | 31% | 42% | 20% | 3% | - |
| 37 | SINGH Evangelina | 1% | 8% | 27% | 39% | 21% | 5% | - |
| 38 | KNAPP Isabella | - | 3% | 19% | 39% | 30% | 8% | - |
| 39 | HARRIS Parker | 2% | 20% | 42% | 28% | 7% | 1% | - |
| 40 | DESERANNO Seren | - | 1% | 12% | 37% | 37% | 12% | 1% |
| 41 | LEE Zoe E. | - | 6% | 28% | 39% | 22% | 4% | - |
| 42 | MUMMANENI Samyuta | - | - | 5% | 26% | 46% | 23% | |
| 43 | HOROWITZ Shuli | - | 4% | 29% | 44% | 20% | 3% | |
| 44 | SCHULTZ Sumi | 3% | 30% | 42% | 21% | 4% | - | |
| 45 | GE Lena Lan | - | 3% | 20% | 41% | 31% | 5% | |
| 46 | NAKAZATO Olivia | 40% | 49% | 10% | 1% | - | - | |
| 47 | LI Christina | 3% | 38% | 40% | 16% | 3% | - | - |
| 48 | KIM Natalie | 4% | 33% | 41% | 18% | 3% | - | - |
| 49 | FRASER Morgan | - | 3% | 19% | 39% | 30% | 8% | 1% |
| 50 | TELEB Farida | 3% | 17% | 34% | 31% | 13% | 2% | - |
| 51 | CHANG Lydia | 1% | 9% | 27% | 36% | 22% | 5% | - |
| 52 | MALIK Manha | - | 5% | 24% | 39% | 26% | 6% | - |
| 53 | DUVVA Sanika | 6% | 26% | 39% | 23% | 6% | 1% | - |
| 54 | CAO Amelie | 5% | 26% | 41% | 23% | 5% | - | |
| 55 | ETIKALA Saanvi | 42% | 50% | 8% | - | - | - | |
| 56 | AKINBAMIRO Peluola | 50% | 40% | 9% | 1% | - | - | - |
| 57 | ZHANG Priscilla | 10% | 32% | 36% | 18% | 4% | - | - |
| 58 | LI Emma Jing | 21% | 51% | 23% | 4% | - | - | - |
| 59 | DING Jennifer | 70% | 29% | 2% | - | - | - | - |
| 60 | WU Emma | 76% | 22% | 2% | - | - | - | |
| 61 | RIVERA Leahy | 22% | 44% | 27% | 6% | 1% | - | |
| 62 | WU Jennifer | 98% | 2% | - | - | - | - | |
| 63 | MITCHELL Macy | 32% | 43% | 21% | 4% | - | - | - |
| 64 | BROWN Katelyn | 75% | 22% | 2% | - | - | - | - |
| 65 | TORNBERG Reagan | 86% | 14% | 1% | - | - | - | - |
| 66 | HINDMAN Grace | 20% | 63% | 15% | 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.