Round Rock Sports Center - Round Rock, TX, 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 | AL-BATTAINEH Eva | 100% | 100% | 100% | 100% | 96% | 78% | 36% |
| 2 | CHAN Mila | 100% | 100% | 100% | 98% | 82% | 39% | |
| 3 | BO Iris | 100% | 100% | 100% | 100% | 96% | 77% | 33% |
| 3 | GONG Hai | 100% | 100% | 100% | 100% | 99% | 85% | 33% |
| 5 | YACOBUCCI Nadia | 100% | 100% | 100% | 100% | 100% | 93% | 57% |
| 6 | BING Charlotte | 100% | 100% | 100% | 100% | 99% | 90% | 44% |
| 7 | PARK Lauren | 100% | 100% | 100% | 99% | 90% | 53% | 11% |
| 8 | YU Sophie | 100% | 100% | 98% | 85% | 49% | 11% | |
| 9 | ZEE Savannah | 100% | 100% | 100% | 100% | 97% | 77% | 30% |
| 10 | NEUMANN Erika | 100% | 100% | 100% | 99% | 91% | 59% | 16% |
| 11 | LI Joy | 100% | 100% | 100% | 100% | 99% | 91% | 57% |
| 12 | ZHAO Olivia | 100% | 100% | 100% | 99% | 92% | 67% | 25% |
| 13 | TELEB Farida | 100% | 100% | 99% | 94% | 74% | 37% | 8% |
| 14 | LEE Jeemin | 100% | 100% | 100% | 100% | 97% | 76% | 31% |
| 15 | FRASER Morgan | 100% | 100% | 100% | 96% | 66% | 20% | |
| 16 | XIA Isabella | 100% | 100% | 99% | 91% | 60% | 15% | 1% |
| 17 | NWODO Naila | 100% | 100% | 100% | 99% | 90% | 60% | 17% |
| 18 | KENSICKI Phoebe | 100% | 100% | 100% | 97% | 71% | 24% | |
| 19 | RUI Jessie | 100% | 100% | 100% | 96% | 75% | 30% | |
| 20 | DAI Iris Yuyang | 100% | 100% | 100% | 100% | 98% | 83% | 40% |
| 21 | BOIKE Lucille | 100% | 100% | 100% | 100% | 96% | 74% | 28% |
| 22 | LI Alice | 100% | 100% | 100% | 100% | 99% | 91% | 56% |
| 23 | LAI Miranda | 100% | 100% | 100% | 97% | 82% | 46% | 11% |
| 24 | KNAPP Isabella | 100% | 100% | 99% | 94% | 67% | 22% | |
| 25 | ZHOU Joi | 100% | 100% | 100% | 95% | 61% | ||
| 26 | LI Christina | 100% | 100% | 96% | 66% | 14% | ||
| 27 | CHENG Audrey | 100% | 100% | 91% | 64% | 28% | 6% | 1% |
| 28 | HOM Emma | 100% | 95% | 70% | 29% | 5% | - | - |
| 29 | WANG Doreen | 100% | 100% | 100% | 99% | 91% | 63% | 19% |
| 30 | LEE Zoe E. | 100% | 100% | 99% | 95% | 77% | 40% | 9% |
| 31 | ZHANG Hannah | 100% | 100% | 96% | 79% | 44% | 12% | 1% |
| 32 | CHANG Lydia | 100% | 100% | 100% | 97% | 80% | 36% | 5% |
| 33 | PECK Madeleine | 100% | 100% | 98% | 89% | 61% | 23% | 3% |
| 34 | DENG Claire | 100% | 100% | 100% | 96% | 67% | 21% | |
| 35 | LEO Jenna | 100% | 100% | 97% | 83% | 50% | 16% | 2% |
| 36 | LI Audrey | 100% | 99% | 90% | 63% | 27% | 6% | - |
| 37 | SOE Hayleigh | 100% | 100% | 100% | 98% | 84% | 45% | 10% |
| 38 | LIN Avery | 100% | 88% | 55% | 21% | 4% | - | - |
| 39 | SAIFEE Zahra | 100% | 99% | 94% | 75% | 40% | 11% | 1% |
| 39 | GOITIA Genevieve | 100% | 100% | 99% | 91% | 61% | 20% | 2% |
| 41 | LIU Anya | 100% | 99% | 89% | 58% | 23% | 5% | - |
| 42 | SHEN Gloria | 100% | 100% | 94% | 70% | 28% | 4% | |
| 43 | HO Peyton | 100% | 98% | 83% | 43% | 11% | 1% | |
| 44 | KHETPAL Aalia | 100% | 100% | 95% | 70% | 29% | 5% | - |
| 45 | LIU Sophia | 100% | 99% | 81% | 30% | 3% | ||
| 46 | HSU Rachel | 100% | 99% | 92% | 69% | 34% | 8% | 1% |
| 47 | DESAI Zoya | 100% | 99% | 92% | 67% | 31% | 7% | 1% |
| 48 | MALIK Manha | 100% | 100% | 99% | 90% | 64% | 26% | 3% |
| 49 | ETIKALA Saanvi | 100% | 96% | 74% | 34% | 7% | 1% | - |
| 50 | SMIRNOV Victoria | 100% | 99% | 94% | 72% | 36% | 9% | 1% |
| 51 | DHALIWAL Seerat | 100% | 92% | 60% | 22% | 4% | - | - |
| 52 | ZHAN Catherine | 100% | 98% | 83% | 49% | 16% | 2% | - |
| 53 | DUVVA Sanika | 100% | 98% | 83% | 46% | 11% | 1% | - |
| 54 | LI Annabelle | 100% | 97% | 82% | 48% | 16% | 2% | - |
| 55 | KIM Natalie | 100% | 95% | 68% | 26% | 4% | - | |
| 56 | LIGERET Stella | 100% | 100% | 95% | 73% | 31% | 5% | |
| 57 | KIM Ellen | 100% | 95% | 72% | 35% | 9% | 1% | - |
| 58 | ARYA Leela | 100% | 100% | 95% | 74% | 38% | 10% | 1% |
| 59 | KIM Audrey | 100% | 99% | 89% | 60% | 25% | 5% | - |
| 60 | DING Jennifer | 100% | 90% | 58% | 22% | 4% | - | - |
| 61 | SAVIOZ Naomi | 100% | 85% | 44% | 11% | 1% | - | |
| 62 | KIM Ines | 100% | 81% | 42% | 12% | 2% | - | - |
| 63 | HWANG Carolina | 100% | 76% | 34% | 8% | 1% | - | - |
| 64 | WU Gloria | 100% | 94% | 71% | 34% | 9% | 1% | - |
| 65 | MCLANAHAN Jasmine | 100% | 97% | 78% | 38% | 8% | 1% | - |
| 66 | ZHANG Annabelle | 100% | 82% | 28% | 3% | - | ||
| 67 | SAIFEE Sakina | 100% | 95% | 71% | 34% | 9% | 1% | - |
| 68 | GONG Maggie | 100% | 85% | 41% | 6% | - | - | |
| 69 | HEMPHILL Mia | 100% | 98% | 81% | 43% | 11% | 1% | - |
| 70 | LI Emma Jing | 100% | 81% | 43% | 13% | 2% | - | - |
| 71 | KIM Rylie | 100% | 98% | 75% | 33% | 7% | 1% | - |
| 72 | CHIN Riley | 100% | 46% | 9% | 1% | - | - | |
| 73 | HINDMAN Grace | 100% | 64% | 18% | 1% | - | - | |
| 74 | YU Xintong | 100% | 96% | 72% | 31% | 6% | - | - |
| 75 | HUANG Emma | 100% | 98% | 86% | 54% | 19% | 3% | - |
| 76 | WANG Ellen | 100% | 95% | 62% | 21% | 3% | - | - |
| 77 | WANG Christina | 100% | 99% | 89% | 58% | 23% | 5% | - |
| 78 | HOLSTAD Anneliese | 100% | 83% | 42% | 11% | 1% | - | - |
| 79 | FENG Christy | 100% | 59% | 17% | 2% | - | - | - |
| 80 | KLIVANS Gwyneth | 100% | 62% | 19% | 3% | - | - | - |
| 81 | DING Jessica | 100% | 79% | 39% | 11% | 1% | - | - |
| 82 | HO Avery | 100% | 38% | 4% | - | - | ||
| 83 | DONG Nancy | 100% | 84% | 38% | 5% | - | - | |
| 84 | ELLISON Ingrid | 100% | 97% | 80% | 46% | 16% | 3% | - |
| 85 | LIN Clara | 100% | 87% | 43% | 10% | 1% | - | |
| 86 | KIM Olivia | 100% | 83% | 45% | 14% | 2% | - | - |
| 87 | CHO Rylee | 100% | 90% | 54% | 17% | 2% | - | - |
| 88 | LUO Olivia | 100% | 68% | 25% | 5% | - | - | - |
| 89 | YI Alison | 100% | 73% | 29% | 5% | - | - | - |
| 90 | SINHA Eira | 100% | 64% | 20% | 3% | - | - | |
| 91 | TEOH Kaylee | 100% | 30% | 3% | - | - | - | - |
| 92 | LOTURCO Annabella | 100% | 21% | 2% | - | - | - | - |
| 93 | ZEE Bella | 100% | 81% | 41% | 11% | 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.