Baird Center - Milwaukee, WI, 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 | YU Jane | - | - | - | 3% | 17% | 42% | 38% |
| 2 | AADHI Hansika | - | - | 2% | 11% | 32% | 40% | 17% |
| 3 | HAN Crystal | - | 3% | 19% | 45% | 33% | ||
| 3 | LI Savannah | - | - | 5% | 20% | 37% | 30% | 8% |
| 5 | DIMATULAC Elise Ann | - | - | - | 1% | 11% | 37% | 51% |
| 6 | KIM Claire | - | - | - | 4% | 18% | 42% | 35% |
| 7 | WYNN Kylie | - | - | - | - | 5% | 31% | 63% |
| 8 | LENK Sophie | - | - | 3% | 17% | 42% | 37% | |
| 9 | KIM Sydney | - | - | - | 2% | 14% | 44% | 40% |
| 10 | LIU Ariana | - | - | 2% | 11% | 30% | 38% | 18% |
| 11 | LIU Kiki | - | - | 1% | 7% | 27% | 44% | 22% |
| 12 | GUAN Adeline | - | - | 2% | 15% | 45% | 37% | |
| 13 | XIE Su | 1% | 7% | 30% | 44% | 19% | ||
| 14 | VAUGHAN Norah | - | - | 1% | 5% | 20% | 42% | 33% |
| 15 | PENG Charlotte | - | - | 2% | 11% | 31% | 39% | 17% |
| 16 | JIN Jada Y | 17% | 41% | 32% | 9% | 1% | - | |
| 17 | CHERNYKH Elina | - | 1% | 9% | 29% | 39% | 20% | 3% |
| 18 | BERGEL Daphne | - | - | 4% | 22% | 45% | 29% | |
| 19 | JOHNSON Shelby | - | - | 1% | 7% | 27% | 42% | 23% |
| 20 | TAYLOR Gabby | - | - | 2% | 12% | 36% | 39% | 12% |
| 21 | THERON Zoe | - | - | 4% | 19% | 41% | 30% | 6% |
| 22 | MIYASHIRO Katelyn | - | 1% | 6% | 21% | 35% | 28% | 8% |
| 23 | WATSON Evelyn | - | 2% | 14% | 31% | 33% | 16% | 3% |
| 24 | CAO Kayla | - | 1% | 6% | 22% | 35% | 28% | 8% |
| 25 | QUINN Anna | - | 1% | 6% | 20% | 35% | 29% | 9% |
| 26 | HOBSON Ava | - | - | 1% | 5% | 25% | 47% | 22% |
| 27 | BROSNAN Lily | - | 10% | 32% | 36% | 17% | 4% | - |
| 28 | PENG Serena | - | - | 5% | 23% | 43% | 27% | |
| 29 | TAO Ann | - | 1% | 7% | 27% | 39% | 22% | 4% |
| 30 | BORGES Valeryn | - | - | 1% | 7% | 26% | 41% | 24% |
| 31 | PUOPOLO Mia | 1% | 9% | 29% | 37% | 20% | 3% | |
| 32 | GUO Audrey | - | 5% | 22% | 35% | 27% | 9% | 1% |
| 33 | VILLARAMA Kara | - | - | 3% | 15% | 35% | 36% | 11% |
| 34 | LUO Miranda | - | 1% | 10% | 32% | 40% | 16% | |
| 35 | URDANETA LARGURA Sylvia | - | 1% | 7% | 25% | 42% | 25% | |
| 36 | OWENS Elise | - | - | 1% | 8% | 31% | 47% | 12% |
| 37 | TRACZ Calleigh D. | - | - | 3% | 16% | 37% | 34% | 9% |
| 38 | HAN Katherine | - | - | 3% | 14% | 35% | 36% | 13% |
| 39 | MEYER Claudia | - | - | 2% | 11% | 29% | 38% | 19% |
| 40 | CANNON Lira J. | - | - | - | 2% | 20% | 53% | 24% |
| 41 | HAN Mia | - | 1% | 7% | 23% | 35% | 26% | 7% |
| 42 | TROXEL Sylvie A. | - | - | - | 2% | 14% | 43% | 41% |
| 43 | HAFEZ Tahiyah | - | 1% | 5% | 25% | 46% | 23% | |
| 44 | WEI Angela | - | 1% | 7% | 27% | 42% | 22% | |
| 45 | OLAWOYE Jadesola | 6% | 29% | 39% | 21% | 5% | - | |
| 46 | HARRIS Parker | - | - | 1% | 7% | 28% | 43% | 22% |
| 47 | FOX Arcadia | 1% | 10% | 28% | 34% | 20% | 6% | 1% |
| 48 | SWOPE Farren | - | 1% | 7% | 24% | 37% | 26% | 6% |
| 49 | HUSSIAN Annabelle | - | 3% | 16% | 36% | 32% | 11% | 1% |
| 50 | MUHAMMAD Auset | - | 1% | 5% | 19% | 35% | 30% | 9% |
| 51 | LAO Sophia | - | 5% | 20% | 37% | 29% | 8% | 1% |
| 52 | ZAMLYNNY Maya | - | - | 4% | 18% | 39% | 32% | 6% |
| 53 | WILLIAMSON Tessa | - | - | 4% | 20% | 38% | 30% | 7% |
| 54 | POWERS Meredith R. | - | - | - | 1% | 7% | 34% | 59% |
| 55 | JENA Aanvi | - | 8% | 38% | 38% | 14% | 2% | - |
| 56 | SHERLOCK Gabriella | - | 1% | 6% | 24% | 39% | 25% | 5% |
| 57 | KANG Marian | - | 1% | 10% | 28% | 37% | 21% | 3% |
| 57 | ZONG Melody | - | 2% | 10% | 27% | 35% | 21% | 5% |
| 59 | COKER Bettina M. | - | - | - | 3% | 18% | 43% | 37% |
| 60 | LEVESQUE Brielle | - | 1% | 7% | 27% | 44% | 21% | |
| 61 | MATTUPALLI Ashwika | - | 5% | 20% | 35% | 29% | 10% | 1% |
| 62 | CROMWELL Keira | 1% | 8% | 25% | 35% | 24% | 8% | 1% |
| 63 | ALKADI Mai | - | 5% | 19% | 34% | 28% | 11% | 2% |
| 64 | SHUSTA Lily | - | 3% | 16% | 35% | 33% | 13% | 1% |
| 65 | TAN Dorathy | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 66 | LIU Yinuo | - | 3% | 14% | 30% | 33% | 17% | 3% |
| 67 | JACOB Norah | 1% | 10% | 29% | 35% | 20% | 5% | - |
| 68 | TAYLOR-CASAMAYOR Marisol | - | 1% | 10% | 28% | 36% | 21% | 4% |
| 69 | SHELTON Olivia | - | 3% | 17% | 36% | 33% | 11% | |
| 70 | BULLARD Sydney | - | 3% | 16% | 35% | 32% | 12% | 2% |
| 71 | NICUDEMUS Bryella | 3% | 17% | 37% | 32% | 10% | 1% | - |
| 72 | LI Chelsea | 2% | 14% | 35% | 33% | 14% | 3% | - |
| 73 | KOZINSKI Allison E. | - | 5% | 27% | 39% | 23% | 5% | - |
| 74 | HOOGSTRA Lucy | 4% | 20% | 38% | 29% | 8% | 1% | |
| 75 | COLE Sofia | 5% | 28% | 40% | 22% | 5% | - | |
| 76 | DESAI Esha | 2% | 16% | 36% | 33% | 12% | 2% | |
| 77 | VANMOORSEL Faye | 1% | 7% | 26% | 40% | 22% | 4% | |
| 78 | DONG Emily | - | 5% | 21% | 39% | 28% | 7% | |
| 78 | MORSE Katherine | 7% | 28% | 40% | 21% | 4% | - | |
| 80 | HOROWITZ Shuli | - | 5% | 21% | 38% | 29% | 7% | |
| 81 | BEAVER Ava | - | - | 4% | 17% | 36% | 33% | 10% |
| 82 | LAZAR Carolina | - | 4% | 23% | 40% | 26% | 7% | 1% |
| 83 | CAMPBELL June | - | 4% | 18% | 35% | 31% | 12% | 1% |
| 83 | CHOI JULIE | 1% | 7% | 25% | 37% | 24% | 6% | 1% |
| 85 | FELLMAN Sara | - | 1% | 6% | 22% | 37% | 27% | 7% |
| 86 | TAN Shouyin | - | 6% | 25% | 38% | 25% | 6% | - |
| 87 | LENZ Zoe N. | - | 1% | 8% | 24% | 35% | 25% | 7% |
| 88 | MANGLANI Maya | 1% | 6% | 22% | 35% | 27% | 9% | 1% |
| 89 | MOORE Addisyn | - | 1% | 9% | 27% | 38% | 22% | 3% |
| 90 | XIONG Isabel | 1% | 11% | 32% | 37% | 15% | 3% | - |
| 91 | LEE Allison | 2% | 14% | 32% | 34% | 15% | 2% | - |
| 92 | BALIN Julia | 5% | 23% | 38% | 25% | 8% | 1% | - |
| 93 | SULLIVAN Red | - | - | 6% | 25% | 40% | 24% | 5% |
| 94 | SHANG Arianna | 5% | 26% | 38% | 24% | 6% | 1% | - |
| 95 | SHICK Veronika | 12% | 42% | 34% | 10% | 1% | ||
| 96 | STONE Sydney | 1% | 8% | 27% | 37% | 22% | 4% | - |
| 97 | LIN Kenzie | 1% | 8% | 25% | 36% | 24% | 7% | 1% |
| 98 | POWLEDGE Cora | - | 6% | 22% | 35% | 26% | 9% | 1% |
| 99 | ZINITI-LAU Elena | 1% | 8% | 28% | 36% | 21% | 5% | - |
| 100 | KOESTERS Florentine | 27% | 42% | 24% | 6% | 1% | - | - |
| 101 | HSIAO Ariya | 1% | 10% | 29% | 37% | 20% | 4% | |
| 102 | NIRGUDE Esha | 3% | 17% | 36% | 31% | 12% | 2% | |
| 103 | EPSTEIN Naomi | 6% | 25% | 39% | 24% | 5% | - | |
| 104 | GOLLNICK Mira | - | 6% | 23% | 39% | 26% | 6% | |
| 105 | WANG Sophia | - | 2% | 12% | 33% | 39% | 14% | |
| 106 | SHIN Jaelynn | 7% | 30% | 38% | 20% | 4% | - | |
| 107 | MA Emily(Yiming) | 18% | 40% | 30% | 10% | 2% | - | |
| 108 | COLLINS Anna | 1% | 11% | 30% | 35% | 19% | 5% | - |
| 109 | TAYLOR-OSBORN Nadia | 3% | 32% | 41% | 20% | 4% | - | - |
| 110 | MITCHELL Ellerie | 5% | 33% | 39% | 19% | 4% | - | - |
| 111 | FEDER Acadia | 5% | 23% | 36% | 26% | 9% | 1% | - |
| 112 | TSE Isabel | 6% | 30% | 37% | 20% | 5% | 1% | - |
| 113 | KUTATELADZE Anna | 7% | 31% | 39% | 19% | 4% | - | - |
| 114 | LEMASTERS Elise M. | 4% | 22% | 38% | 27% | 8% | 1% | - |
| 115 | ZHU Yunyao | 8% | 29% | 36% | 20% | 6% | 1% | - |
| 116 | LI Grace | - | - | 5% | 19% | 35% | 31% | 10% |
| 117 | REESE Rebecca M. | - | 2% | 17% | 39% | 31% | 10% | 1% |
| 118 | FERRONE Gianna | - | 7% | 25% | 37% | 24% | 6% | - |
| 119 | SAH Madeleine | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
| 120 | WISEMAN Margaret (Daisy) | 1% | 11% | 31% | 36% | 17% | 3% | - |
| 121 | HSIAO Jacqueline | 4% | 27% | 39% | 24% | 7% | 1% | - |
| 122 | MAIA ZUCKERMAN Julia | 32% | 44% | 20% | 4% | - | - | - |
| 123 | GREENLEAF Ella | - | 7% | 28% | 38% | 21% | 5% | - |
| 124 | OWEN Ashley | 3% | 22% | 43% | 26% | 5% | ||
| 125 | CHOI Jordan | 33% | 43% | 20% | 4% | - | - | |
| 126 | XU-FERGUSON Victoria | 5% | 30% | 38% | 20% | 5% | 1% | - |
| 127 | LEVANT Briea | 8% | 31% | 39% | 19% | 3% | - | - |
| 128 | TOMASI Samantha | 6% | 25% | 37% | 24% | 7% | 1% | - |
| 129 | MALVESTUTO Evelyn | 6% | 31% | 39% | 19% | 4% | - | - |
| 130 | CLAYTON Evelyn | 18% | 57% | 22% | 3% | - | - | - |
| 131 | AKINBAMIRO Pelu | 67% | 28% | 4% | - | - | - | - |
| 132 | PEVZNER Sophia | 16% | 38% | 32% | 12% | 2% | - | |
| 133 | LYON Claire | 21% | 41% | 28% | 9% | 1% | - | |
| 134 | VENZON Makena Jane | 21% | 42% | 28% | 8% | 1% | - | |
| 135 | KRYLTSOVA Eva | 5% | 26% | 38% | 24% | 6% | 1% | - |
| 136 | KELLING Samantha | 32% | 42% | 21% | 5% | 1% | - | - |
| 137 | CROWE Talia | 17% | 53% | 25% | 5% | - | - | - |
| 138 | KATZE Ashley | - | 1% | 8% | 26% | 38% | 22% | 4% |
| 139 | KRAATZ Kira | 4% | 20% | 36% | 28% | 11% | 2% | - |
| 140 | SHRESTHA Tapaswi | 37% | 42% | 17% | 3% | - | - | - |
| 141 | LEGGETT Emilia | 4% | 27% | 40% | 22% | 6% | 1% | - |
| 142 | RASH Reagan | 33% | 43% | 19% | 4% | - | - | - |
| 143 | SIMANJUNTAK Jocelyn | 26% | 42% | 25% | 6% | 1% | - | - |
| 144 | JOHNSSON Emma | 25% | 41% | 25% | 7% | 1% | - | - |
| 144 | PERRIN Emma | 40% | 41% | 16% | 3% | - | - | - |
| 146 | LOVE Bri | 2% | 20% | 37% | 28% | 10% | 2% | - |
| 147 | LAVINE Samantha | 12% | 35% | 35% | 15% | 3% | - | - |
| 148 | SNYDERS Evelyn | 9% | 33% | 38% | 17% | 3% | - | |
| 148 | ZHANG Phoenix | 22% | 42% | 27% | 8% | 1% | - | |
| 150 | SAUCEDO Fernanda | 45% | 40% | 13% | 2% | - | - | |
| 151 | STEINBERGER Maddi | < 1% | 3% | 16% | 34% | 33% | 12% | 1% |
| 152 | MULLER Amara | 47% | 40% | 11% | 1% | - | ||
| 153 | RICE Maddie | 5% | 24% | 36% | 25% | 8% | 1% | - |
| 154 | BROWNING Ruby | 65% | 30% | 5% | - | - | - | - |
| 154 | LATIFI Fara | 12% | 38% | 34% | 13% | 2% | - | - |
| 156 | WESTGATE Rebecca | 26% | 43% | 24% | 6% | 1% | - | |
| 157 | ZHANG Tingyun (Linda) | 8% | 31% | 36% | 19% | 5% | 1% | - |
| 157 | KRONZER Sophia | 34% | 43% | 19% | 3% | - | - | - |
| 157 | SERRANO Jasmin | 18% | 42% | 29% | 9% | 1% | - | - |
| 160 | QI Annabelle | 13% | 37% | 35% | 13% | 2% | - | |
| 161 | BROWN Katelyn | 53% | 37% | 9% | 1% | - | - | - |
| 161 | LEWIS-RAMIREZ Lily | 61% | 34% | 5% | - | - | - | - |
| 163 | LOTURCO Akiko | 47% | 39% | 12% | 2% | - | - | - |
| 163 | HO Chloe | 80% | 18% | 1% | - | - | - | - |
| 165 | VINS Katherine | 62% | 32% | 6% | 1% | - | - | - |
| 166 | CHEN Mikayla | 67% | 30% | 3% | - | - | - | - |
| 167 | WANG hannah | 65% | 30% | 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.