Meadowlands Expo Center - Secaucus, 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 | CASTELO Soleil | 100% | 100% | 100% | 100% | 99% | 91% | 57% |
| 2 | GONZALEZ Veronika | 100% | 100% | 100% | 100% | 98% | 76% | |
| 3 | FUNG Iris | 100% | 100% | 100% | 100% | 97% | 80% | 35% |
| 3 | ZHAO Selena | 100% | 100% | 100% | 100% | 99% | 88% | 50% |
| 5 | OSMINKINA-JONES Kai | 100% | 100% | 100% | 100% | 99% | 91% | 55% |
| 6 | ZHANG Audrey | 100% | 100% | 99% | 93% | 70% | 33% | 7% |
| 7 | REN Katherine | 100% | 100% | 100% | 100% | 100% | 93% | 60% |
| 8 | LI Tira | 100% | 100% | 97% | 81% | 45% | 11% | |
| 9 | GONG Joy | 100% | 100% | 100% | 100% | 100% | 93% | 56% |
| 10 | FOSS Persephone | 100% | 100% | 100% | 98% | 89% | 63% | 23% |
| 11 | WANG Chloe | 100% | 100% | 95% | 76% | 41% | 12% | 1% |
| 12 | HU Heidi | 100% | 100% | 99% | 94% | 76% | 41% | 11% |
| 13 | GOEL Lineysha | 100% | 100% | 100% | 96% | 79% | 42% | 9% |
| 14 | CAO Kim | 100% | 100% | 99% | 90% | 64% | 28% | 5% |
| 15 | HUANG Pierra | 100% | 100% | 100% | 100% | 97% | 83% | 41% |
| 16 | TA-ZHOU Sophia | 100% | 100% | 98% | 88% | 61% | 26% | 5% |
| 17 | XU Elaine | 100% | 100% | 100% | 100% | 98% | 87% | 49% |
| 18 | KIM Eunjae | 100% | 100% | 98% | 84% | 51% | 16% | 2% |
| 19 | CHAU Zoey | 100% | 100% | 100% | 95% | 75% | 33% | 5% |
| 20 | MAK Jayden | 100% | 100% | 100% | 99% | 91% | 56% | 12% |
| 21 | YOUNG Sienna | 100% | 100% | 100% | 97% | 81% | 47% | 12% |
| 22 | DANIELS Jordanna | 100% | 100% | 100% | 96% | 77% | 36% | 5% |
| 23 | MOTOVA Masha | 100% | 100% | 95% | 79% | 47% | 15% | 2% |
| 24 | CAFAGNA Sofia | 100% | 100% | 100% | 98% | 87% | 56% | 17% |
| 25 | NIU Jessica | 100% | 100% | 100% | 99% | 93% | 69% | 27% |
| 26 | KIM Grace | 100% | 100% | 100% | 95% | 77% | 38% | 7% |
| 27 | LIANG Claire | 100% | 100% | 99% | 91% | 67% | 29% | 4% |
| 29 | DEMRY Kylee | 100% | 97% | 81% | 46% | 13% | 1% | |
| 30 | SEO Kaitlyn | 100% | 100% | 99% | 92% | 70% | 33% | 7% |
| 31 | JOHN Sophia | 100% | 100% | 100% | 96% | 77% | 32% | 4% |
| 32 | VUDTHITHAMRONG Vivienne | 100% | 100% | 98% | 87% | 61% | 26% | 5% |
| 33 | ZONG Eliane | 100% | 100% | 100% | 98% | 85% | 50% | 13% |
| 34 | NEMORIN Rei | 100% | 100% | 100% | 100% | 96% | 78% | 35% |
| 35 | MULLER Inara | 100% | 100% | 100% | 100% | 98% | 85% | 46% |
| 36 | WANG JiaQi | 100% | 100% | 100% | 97% | 80% | 39% | 8% |
| 37 | JIANG Yutong | 100% | 100% | 98% | 88% | 59% | 20% | |
| 38 | PARK Gabriella | 100% | 100% | 94% | 75% | 39% | 9% | |
| 39 | CHOWDHERY Myra | 100% | 100% | 100% | 96% | 76% | 33% | |
| 40 | HU Emily | 100% | 99% | 88% | 55% | 19% | 3% | |
| 41 | RUSMEVICHIENTONG Lyla | 100% | 100% | 96% | 74% | 34% | 6% | |
| 42 | WEI Levana | 100% | 99% | 93% | 71% | 38% | 11% | 1% |
| 43 | CANARAN Daphne M. | 100% | 100% | 97% | 83% | 51% | 18% | 2% |
| 44 | KETT alexis | 100% | 96% | 76% | 38% | 9% | - | |
| 45 | ZHENG Winona | 100% | 100% | 98% | 89% | 65% | 29% | 6% |
| 46 | IORDANOVA Vela | 100% | 99% | 87% | 54% | 16% | 2% | - |
| 47 | LEE Kaitlin | 100% | 100% | 99% | 94% | 74% | 40% | 10% |
| 48 | CHEN Chloe | 100% | 99% | 89% | 56% | 18% | 3% | - |
| 49 | YANG Selina | 100% | 100% | 97% | 82% | 46% | 14% | 1% |
| 50 | PHILLIPPY Hannah | 100% | 99% | 90% | 65% | 31% | 8% | 1% |
| 50 | FAZAL Sasha | 100% | 96% | 74% | 37% | 10% | 1% | - |
| 52 | PARK Haylie | 100% | 100% | 100% | 99% | 88% | 53% | 13% |
| 53 | MENON Maya | 100% | 99% | 93% | 72% | 37% | 10% | 1% |
| 54 | JIANG Juliette | 100% | 97% | 83% | 52% | 21% | 4% | - |
| 55 | ZHANG Nikki | 100% | 100% | 94% | 74% | 39% | 11% | 1% |
| 56 | VARAH Alaia | 100% | 99% | 94% | 74% | 40% | 12% | 2% |
| 57 | YERENKOVA Ameliia | 100% | 100% | 98% | 86% | 51% | 12% | |
| 58 | SMITH Genevieve | 100% | 97% | 74% | 33% | 7% | 1% | |
| 59 | OH Chloe | 100% | 94% | 71% | 36% | 11% | 2% | - |
| 60 | LAMTAN Trinity | 100% | 99% | 91% | 68% | 33% | 9% | 1% |
| 61 | MCCARTHY Nora Louisa Abrous | 100% | 96% | 77% | 44% | 15% | 3% | - |
| 62 | MACHIRAJU Ishita | 100% | 99% | 93% | 72% | 38% | 11% | 1% |
| 63 | CHAM Morgan | 100% | 99% | 93% | 67% | 31% | 8% | 1% |
| 64 | AN Jamie | 100% | 99% | 92% | 65% | 28% | 6% | 1% |
| 65 | TIAN Ariana | 100% | 99% | 87% | 54% | 19% | 3% | - |
| 66 | WEI Madison | 100% | 100% | 98% | 89% | 63% | 27% | 4% |
| 67 | KIM Jodie | 100% | 92% | 65% | 30% | 8% | 1% | - |
| 68 | ZHANG Ashley | 100% | 100% | 99% | 91% | 64% | 23% | |
| 68 | FREY Elise | 100% | 93% | 58% | 19% | 3% | - | |
| 70 | LIU Teresa | 100% | 98% | 85% | 53% | 17% | 1% | |
| 71 | TAN Angela | 100% | 90% | 60% | 24% | 5% | - | |
| 71 | GUO Daisy | 100% | 100% | 98% | 87% | 57% | 21% | 3% |
| 73 | SAGER Bianca | 100% | 90% | 56% | 20% | 4% | - | - |
| 74 | LEE Elise | 100% | 98% | 85% | 55% | 22% | 5% | - |
| 75 | GUERVILLE Angelique | 100% | 99% | 89% | 61% | 27% | 6% | - |
| 75 | LIU Stephanie | 100% | 99% | 93% | 70% | 33% | 8% | 1% |
| 77 | MISHRA Riona | 100% | 98% | 85% | 55% | 23% | 5% | - |
| 77 | ENG Gabrielle | 100% | 96% | 77% | 43% | 15% | 3% | - |
| 79 | BANDHU Saahiti | 100% | 99% | 92% | 66% | 28% | 5% | |
| 80 | YAP Anna | 100% | 96% | 77% | 43% | 14% | 2% | |
| 81 | AVATAPALLI Sri Aadya | 100% | 100% | 96% | 76% | 39% | 10% | 1% |
| 82 | KABILING Anika Von Marie | 100% | 100% | 97% | 82% | 47% | 14% | 2% |
| 82 | YIN Xizi | 100% | 91% | 61% | 26% | 6% | 1% | - |
| 84 | KONDE Anika | 100% | 97% | 82% | 49% | 17% | 3% | - |
| 85 | FENG chloe | 100% | 89% | 58% | 24% | 5% | - | |
| 86 | CHAN Isla | 100% | 89% | 59% | 25% | 6% | 1% | - |
| 87 | PORTNOY Elizabeth | 100% | 81% | 35% | 7% | 1% | - | - |
| 88 | MULHERN Eleanor | 100% | 98% | 86% | 54% | 18% | 3% | - |
| 89 | ONO Lisa | 100% | 89% | 59% | 25% | 6% | 1% | - |
| 90 | GU Allison | 100% | 97% | 79% | 44% | 14% | 2% | - |
| 91 | ZHANG Shihan | 100% | 98% | 83% | 46% | 12% | 1% | - |
| 92 | LEE Jiyoung | 100% | 83% | 45% | 14% | 2% | - | - |
| 93 | SATHISH Sreesha | 100% | 93% | 63% | 24% | 4% | - | - |
| 94 | CAO Audrey | 100% | 92% | 56% | 19% | 3% | - | - |
| 95 | MADDISON Erica | 100% | 81% | 39% | 9% | 1% | - | - |
| 97 | JEON Kristen | 100% | 68% | 27% | 6% | 1% | - | - |
| 98 | LIU Alyssa | 100% | 98% | 84% | 48% | 15% | 2% | - |
| 99 | BUURMA Bevin | 100% | 80% | 40% | 11% | 1% | - | - |
| 100 | XU Isabella | 100% | 91% | 56% | 19% | 3% | - | |
| 101 | FISCHER Luna | 100% | 52% | 13% | 2% | - | - | |
| 102 | SON Ellie | 100% | 95% | 70% | 34% | 9% | 1% | - |
| 103 | GARCIA RODRIGUEZ Victoria Maria | 100% | 85% | 49% | 16% | 3% | - | - |
| 104 | KARAVAS Lucy | 100% | 96% | 76% | 38% | 11% | 1% | - |
| 105 | ATA Emily | 100% | 74% | 33% | 8% | 1% | - | |
| 105 | LIAO Audrey | 100% | 89% | 54% | 16% | 2% | - | - |
| 107 | DEMATTEIS Katarina | 100% | 66% | 23% | 4% | - | - | - |
| 108 | DATLA Aanya | 100% | 72% | 31% | 7% | 1% | - | - |
| 109 | AN Jasmine | 100% | 94% | 68% | 30% | 6% | - | |
| 110 | DELELLIS-TALOMIE Rae | 100% | 97% | 80% | 48% | 17% | 3% | - |
| 110 | HAROYAN Lilit | 100% | 47% | 10% | 1% | - | - | - |
| 112 | WU Jing | 100% | 73% | 32% | 8% | 1% | - | - |
| 113 | JOSEPH Azalée | 100% | 99% | 91% | 68% | 34% | 9% | 1% |
| 114 | GROSSMAN Ann | 100% | 69% | 24% | 4% | - | - | - |
| 115 | MADDISON Estelle | 100% | 90% | 49% | 15% | 2% | - | - |
| 116 | WANG Selina | 100% | 95% | 68% | 31% | 8% | 1% | - |
| 117 | WIJE Mahamaya | 100% | 86% | 48% | 14% | 2% | - | - |
| 118 | SINGH Zara | 100% | 43% | 8% | 1% | - | - | |
| 119 | LIAO Amber | 100% | 83% | 43% | 10% | 1% | - | - |
| 120 | PARAISO Isabella | 100% | 59% | 18% | 3% | - | - | - |
| 121 | LAU Angela | 100% | 96% | 77% | 43% | 13% | 2% | |
| 121 | LASS Genevieve | 100% | 61% | 17% | 2% | - | - | - |
| 123 | BORROK Katherine | 100% | 46% | 9% | 1% | - | - | - |
| 124 | KRISHNAN Anu | 100% | 74% | 28% | 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.