Huntington Convention Center of Cleveland - Cleveland, OH, USA
Color shade indicates the magnitude of a surprise (positive or negative). Grey means no suprise. Read more.
| # | Name | Bout Difficulty vs. Outcome * | Pool Victories | |||
|---|---|---|---|---|---|---|
| Pool | DE | Exp. | Act. | Diff. | ||
| 1 | ESAKI Kei | V V V V V V | V V V V V V | 5.6 | 6 | +0.4 |
| 3 | MCSHERRY Kayla | V V V V V V | V V V V V D | 5.9 | 6 | +0.1 |
| 3 | HU Sophie | V V V V V V | V V V V V | 5.3 | 6 | +0.7 |
| 5 | LIU Qianchen E. | V V V V V | V V V V D | 4.8 | 5 | +0.2 |
| 6 | PARK Lauren | V V V V V V | V V V D | 5.0 | 6 | +1.0 |
| 7 | LEE Zoe E. | V V V V V V | V V V V | 4.9 | 6 | +1.1 |
| 8 | LAI Miranda | V V V D V V | V V V V D | 5.0 | 5 | - |
| 9 | CHAN Mila | V V V V V V | V V V D | 5.7 | 6 | +0.3 |
| 10 | XING Melly | V V V V V | V V V | 4.5 | 5 | +0.5 |
| 11 | DESAI Zoya | V V V V V V | V V V D | 4.8 | 6 | +1.2 |
| 12 | JOO Sara | V V V V V V | V V V D | 5.4 | 6 | +0.6 |
| 13 | MALIK Manha | V V V V D V | V V V D | 5.3 | 5 | -0.3 |
| 14 | WU Gloria | V D V V V V | V V V D | 3.9 | 5 | +1.1 |
| 15 | PECK Madeleine | V V V D V | V V V D | 4.3 | 4 | -0.3 |
| 16 | YUNG Zoe | V D V V D | V V V V D | 3.0 | 3 | - |
| 17 | JIANG Ziqing | V V V V V | V V D | 3.6 | 5 | +1.4 |
| 17 | ZHAO Olivia | V V V V V V | V V D | 5.7 | 6 | +0.3 |
| 19 | KENSICKI Phoebe | V V V V V V | V V D | 5.7 | 6 | +0.3 |
| 20 | WANG Doreen | V V V V V V | V V D | 5.2 | 6 | +0.8 |
| 21 | HO Peyton | V V V V V | V V D | 3.9 | 5 | +1.1 |
| 22 | TELEB Farida | V V V V V V | V V D | 5.2 | 6 | +0.8 |
| 23 | LUO lucy | V V D V V V | V V D | 4.9 | 5 | +0.1 |
| 24 | BYK Karalina | V V V V V D | V V D | 5.0 | 5 | - |
| 25 | LU Keeva | D V V V V V | V V D | 4.8 | 5 | +0.2 |
| 26 | CHEN bridgette | V V D V V V | V V D | 3.4 | 5 | +1.6 |
| 27 | ZHENG Annalyn | D V V V V | V V D | 4.3 | 4 | -0.3 |
| 28 | THOTA Akira | V V V D V | V | 3.5 | 4 | +0.5 |
| 29 | CHAN Jolene | D V V V V | V V D | 4.5 | 4 | -0.5 |
| 30 | PARK Hannah | V D V V V | V V D | 3.5 | 4 | +0.5 |
| 31 | KUANG Bella | D V V V V D | V V D | 3.7 | 4 | +0.3 |
| 32 | LIN Claire | D V D V D V | V V V D | 4.3 | 3 | -1.3 |
| 33 | JOESUF Thea | V V V V V V | V D | 3.5 | 6 | +2.5 |
| 34 | GONG Hai | V V V V V V | V | 5.7 | 6 | +0.3 |
| 35 | ZHANG Priscilla | V V V V V | V D | 3.8 | 5 | +1.2 |
| 36 | SON Ayoung | V V V V V | V D | 4.3 | 5 | +0.7 |
| 37 | CHANG Lydia | V V V V V V | V D | 5.2 | 6 | +0.8 |
| 38 | MURPHY Genevieve | V V V V V | V D | 4.1 | 5 | +0.9 |
| 39 | ZHU Alivia | V V V V V | V D | 4.3 | 5 | +0.7 |
| 40 | DENG Gaowa Eva | D V V V V V | V D | 4.3 | 5 | +0.7 |
| 41 | FRASER Morgan | V V V V D | V D | 4.4 | 4 | -0.4 |
| 42 | SAIFEE Zahra | D V V V V | D | 3.6 | 4 | +0.4 |
| 43 | FAROOQI Eliora | V V V V V D | V D | 3.5 | 5 | +1.5 |
| 44 | KHETPAL Aalia | V V V D V | V D | 3.3 | 4 | +0.7 |
| 45 | WEN Lillian | V D V V V | V D | 3.0 | 4 | +1.0 |
| 46 | GOWDA Siyona | V V D V V | V D | 3.0 | 4 | +1.0 |
| 47 | TAO Isabella | V V V D D V | V D | 4.2 | 4 | -0.2 |
| 48 | MA Sophia | D V V V D V | V D | 4.0 | 4 | - |
| 50 | ENRIQUEZ Bianca Perla | V V D V D V | V D | 4.0 | 4 | - |
| 51 | GENG Emma | D V V D V V | V D | 4.3 | 4 | -0.3 |
| 52 | WANG Allyson | V V D V D V | V D | 2.7 | 4 | +1.3 |
| 53 | WANG Joann | V D V D V V | V V D | 4.6 | 4 | -0.6 |
| 54 | SAVIOZ Naomi | D V D V V V | V V D | 2.6 | 4 | +1.4 |
| 55 | KIM Yuna | D V V D V V | V V D | 3.9 | 4 | +0.1 |
| 55 | FU Angela | V V D D V V | V V D | 2.2 | 4 | +1.8 |
| 57 | LAM Dorris Yandor | D D V V V V | V V D | 3.8 | 4 | +0.2 |
| 58 | YANG Olivia | D V V V D | V V D | 4.3 | 3 | -1.3 |
| 59 | LIN Avery | V D V D V | V V D | 3.2 | 3 | -0.2 |
| 60 | DING Jennifer | D V D V V D | V V D | 2.8 | 3 | +0.2 |
| 61 | KASHUBA Mila | D V V D D V | V V D | 3.8 | 3 | -0.8 |
| 62 | CHOI Jian | V V D D V D | V V D | 3.7 | 3 | -0.7 |
| 63 | PEROJO Angie | V V V D D D | V V D | 2.4 | 3 | +0.6 |
| 64 | LIU Bella | D D D V D D | V V D | 3.2 | 1 | -2.2 |
| 65 | LIU Anya | V V V D V | D | 2.7 | 4 | +1.3 |
| 66 | TIAN Claire | V D V V V V | D | 1.8 | 5 | +3.2 |
| 67 | WEN Cynthia | D V V V V V | D | 4.4 | 5 | +0.6 |
| 68 | GONZALEZ Lauren | V D V V V V | D | 3.1 | 5 | +1.9 |
| 69 | ZHANG Hannah | V V D V V V | D | 4.0 | 5 | +1.0 |
| 70 | LI Annabelle | D V V V V V | D | 3.6 | 5 | +1.4 |
| 71 | DEJOY Leilah | D V V V V | D | 2.5 | 4 | +1.5 |
| 72 | SHEN Gloria | V V D V V | D | 3.5 | 4 | +0.5 |
| 73 | YARBILOVA Aya | V D V V D V | D | 3.3 | 4 | +0.7 |
| 74 | TATINENI Charvi | V V D V V D | D | 1.7 | 4 | +2.3 |
| 75 | HUFFMAN Seraphina | V V V V D D | V D | 3.1 | 4 | +0.9 |
| 76 | JU Victoria | V V D D V V | V D | 3.9 | 4 | +0.1 |
| 77 | KIM Audrey | V D V V D V | V D | 3.4 | 4 | +0.6 |
| 77 | ELLISON Ingrid | V V V D D V | V D | 3.9 | 4 | +0.1 |
| 79 | SHU Kayla | D V V V V D | V D | 2.1 | 4 | +1.9 |
| 80 | CHENG Audrey | V D V V D | V D | 3.1 | 3 | -0.1 |
| 81 | ZHANG Selina | V V V D D V | V D | 4.0 | 4 | - |
| 82 | WELTER Gemma | D V V V V D | V D | 2.1 | 4 | +1.9 |
| 82 | YOUN Davina | V V D V V D | V | 2.1 | 4 | +1.9 |
| 84 | FU Joy | D V V V D | V D | 2.8 | 3 | +0.2 |
| 85 | XU Charlene | D V V V V D | V | 3.4 | 4 | +0.6 |
| 86 | JIMÉNEZ PELAY Claudia | V V V D D | V D | 1.6 | 3 | +1.4 |
| 87 | HUANG Rosalyn | V V V D D | V D | 1.6 | 3 | +1.4 |
| 88 | LEE Eun-Hae | V D V V D | V D | 1.8 | 3 | +1.2 |
| 89 | ZHAN Catherine | D V D V V | V D | 2.3 | 3 | +0.7 |
| 90 | KLIVANS Gwyneth | V V D V D | V D | 1.9 | 3 | +1.1 |
| 91 | CHEN Summer | V D V D V D | V D | 4.2 | 3 | -1.2 |
| 93 | SHAOOLIAN Alexa | V D V V D D | V D | 3.4 | 3 | -0.4 |
| 94 | LIU Sophia | V D D D V V | V D | 2.9 | 3 | +0.1 |
| 95 | HEWITT Madison | D V V D V D | V D | 2.8 | 3 | +0.2 |
| 96 | KIM Rylie | V D D V V | V D | 2.8 | 3 | +0.2 |
| 97 | ARUNKISHORE Dakshina | V D D D V V | V D | 3.2 | 3 | -0.2 |
| 98 | MCCLAIN Madison | D D V D V V | V D | 3.1 | 3 | -0.1 |
| 99 | BANDZELADZE Emma | D V V V D D | V D | 3.1 | 3 | -0.1 |
| 100 | FENG Christy | D D V D V V | V D | 2.8 | 3 | +0.2 |
| 101 | JAZWINSKI Ivy | D V V V D D | V D | 3.4 | 3 | -0.4 |
| 102 | LI Doreen | D D V V D V | V D | 2.7 | 3 | +0.3 |
| 103 | FENG Claire | V V D V D D | V D | 4.2 | 3 | -1.2 |
| 104 | SMART Athena | V V D D V D | V D | 3.1 | 3 | -0.1 |
| 105 | SMOLICH Emily | V V D D V D | V D | 4.3 | 3 | -1.3 |
| 106 | HUANG Emma | D V D V V | V D | 3.2 | 3 | -0.2 |
| 106 | YOON Adeline | D V D V V D | V D | 1.3 | 3 | +1.7 |
| 108 | VALOUEVA Katerina | D V V V D D | V D | 1.4 | 3 | +1.6 |
| 109 | CHUNG Katie | V D D D V | V D | 3.6 | 2 | -1.6 |
| 110 | HOLSTAD Anneliese | D D V V D | V D | 1.7 | 2 | +0.3 |
| 111 | CHAN Hailey | V D D V D | V D | 2.4 | 2 | -0.4 |
| 112 | DONG Audrey | D D D V V | V D | 2.7 | 2 | -0.7 |
| 113 | MORONES Alieza | V V D D D | V D | 1.7 | 2 | +0.3 |
| 114 | FANG Yining | V V D D D | V D | 1.2 | 2 | +0.8 |
| 115 | HOM Emma | D D D D V V | V D | 3.5 | 2 | -1.5 |
| 116 | KIM Ines | V D D D D V | V D | 3.3 | 2 | -1.3 |
| 117 | CHEN Chloe | V D D V D D | V D | 1.5 | 2 | +0.5 |
| 118 | ZHU Audrey | D D D D V V | V D | 3.4 | 2 | -1.4 |
| 119 | MAHAPATRA Alisha | V D D V D D | V D | 2.9 | 2 | -0.9 |
| 120 | LALONDE Beatrice | D D D D V V | V D | 2.0 | 2 | - |
| 121 | LIU Doris-Zihan Zhou | D D D D V V | V D | 2.7 | 2 | -0.7 |
| 122 | LI Audrey | D D D D V | V D | 2.5 | 1 | -1.5 |
| 123 | LIN Clara | D D D V D | V D | 2.5 | 1 | -1.5 |
| 124 | TANG Ming-Hao (Audrey) | D V D D D | V D | 0.5 | 1 | +0.5 |
| 125 | HAFEZ Sahar | D D D D D V | V D | 4.7 | 1 | -3.7 |
| 126 | CHUNG Sera | D V D D D D | V D | 2.6 | 1 | -1.6 |
| 127 | ZHANG Annabelle | V D D D D D | V D | 1.5 | 1 | -0.5 |
| 129 | DING Jessica | V D V V D D | 2.8 | 3 | +0.2 | |
| 130 | KIM Lael | V V V D D D | D | 3.3 | 3 | -0.3 |
| 131 | KO Adeline | D V D D V | D | 2.2 | 2 | -0.2 |
| 132 | MILLER Sydney | V D V D D V | D | 0.8 | 3 | +2.2 |
| 133 | LI Beatrice | V V V D D D | D | 2.8 | 3 | +0.2 |
| 134 | TURBAT Celine | D V D D V | D | 1.8 | 2 | +0.2 |
| 135 | MILLER Anna | D D D V V V | D | 3.5 | 3 | -0.5 |
| 136 | YI Helen | V V D D V | D | 0.5 | 3 | +2.5 |
| 137 | ALEKSANDROVA Mira | D V D D V | D | 0.7 | 2 | +1.3 |
| 138 | HUANG Jiayu | D D D V D V | D | 2.8 | 2 | -0.8 |
| 139 | JIANG Mujing | V D D V D | D | 1.8 | 2 | +0.2 |
| 140 | ZHANG Selene T. | D D V D D V | D | 2.3 | 2 | -0.3 |
| 141 | FAN Lauren | V D V D D D | D | 2.1 | 2 | -0.1 |
| 142 | HO Avery | V D D D V D | D | 2.4 | 2 | -0.4 |
| 143 | CHEUNG Arya | V D D D V D | D | 1.5 | 2 | +0.5 |
| 144 | CHEN Michelle | D D V D D V | D | 2.0 | 2 | - |
| 145 | WANG Sally | V D D D D V | D | 2.6 | 2 | -0.6 |
| 146 | MCCLAIN Grayce | D D D V V D | D | 2.5 | 2 | -0.5 |
| 147 | ZELDIN Nina | V D D V D D | D | 1.7 | 2 | +0.3 |
| 148 | SHI Cathy | D V D D D V | D | 2.5 | 2 | -0.5 |
| 149 | QIAO Lori-Ann | D D V D V | D | 2.8 | 2 | -0.8 |
| 150 | SUN YOUXI | D V V D D D | D | 1.7 | 2 | +0.3 |
| 151 | GUO Jianing | D D D D V | D | 1.7 | 1 | -0.7 |
| 152 | DONG Nancy | D D V D D | D | 2.1 | 1 | -1.1 |
| 153 | ZHU Alicia | D D V D D | D | 0.9 | 1 | +0.1 |
| 154 | LIN Tiffany | D D D D D V | D | 2.0 | 1 | -1.0 |
| 155 | HUANG Gabrielle | D D D D D | D | 2.2 | 0 | -2.2 |
| 156 | JONES Parker | D V D D D D | D | 2.6 | 1 | -1.6 |
| 157 | KANASZ Peyton | D D V D D D | D | 1.1 | 1 | -0.1 |
| 158 | TANG Clementine | D D D V D D | D | 1.5 | 1 | -0.5 |
| 159 | GONZALEZ Alexandra | D D D D V D | D | 1.3 | 1 | -0.3 |
| 160 | TAGNE Zoey | D V D D D | D | 1.4 | 1 | -0.4 |
| 160 | TELEB Amina | D V D D D D | D | 0.9 | 1 | +0.1 |
| 160 | YUEN Hannah | D D D V D D | D | 0.8 | 1 | +0.2 |
| 163 | CHAN Chloe | V D D D D D | D | 2.0 | 1 | -1.0 |
| 164 | ZHANG Katie Q. | D D D V D D | D | 2.1 | 1 | -1.1 |
| 165 | LIU Jocelyn | D V D D D | D | 1.4 | 1 | -0.4 |
| 166 | GONG Maggie | V D D D D D | D | 1.4 | 1 | -0.4 |
| 166 | LOPUS Marlena | D D V D D | D | 0.4 | 1 | +0.6 |
| 168 | ARCE BASURCO Juliana | D D D V D | D | 1.2 | 1 | -0.2 |
| 169 | ZENG Linya | V D D D D | D | 1.7 | 1 | -0.7 |
| 169 | ROLKOWSKI Mia | D D V D D D | D | 0.9 | 1 | +0.1 |
| 171 | CURRIER-BLAGG Bryn | D D D D V D | D | 0.4 | 1 | +0.6 |
| 172 | TUNG Alison | D D V D D D | 1.3 | 1 | -0.3 | |
| 173 | LEE Madison | D D D V D D | D | 1.3 | 1 | -0.3 |
| 174 | KUMAR Leela | D D D V D | D | 1.1 | 1 | -0.1 |
| 175 | LEE Clara | D D D D V D | D | 0.4 | 1 | +0.6 |
| 176 | SAIFEE Sakina | D D D D D D | D | 3.8 | 0 | -3.8 |
| 177 | CHEN Arianna | D D D D D | D | 2.0 | 0 | -2.0 |
| 178 | FANG Savannah | D D D D D | D | 1.7 | 0 | -1.7 |
| 179 | PICACHE Camilla | D D D D D D | D | 0.7 | 0 | -0.7 |
| 180 | DAI Claire | D D D D D D | D | 1.7 | 0 | -1.7 |
| 181 | CHEN Yinuo | D D D D D | D | 2.6 | 0 | -2.6 |
| 181 | KERR Ingrid | D D D D D | D | 0.9 | 0 | -0.9 |
| 183 | WANG Kelly | D D D D D | D | 1.0 | 0 | -1.0 |
| 183 | LU Sophia | D D D D D | D | 1.6 | 0 | -1.6 |
| 185 | KOCHER Lillian | D D D D D | D | 1.1 | 0 | -1.1 |
| 186 | DOMINIK Eliana | D D D D D D | D | 2.5 | 0 | -2.5 |
| 186 | LIU Doris | D D D D D D | D | 0.8 | 0 | -0.8 |
| 188 | SU Hermione Su | D D D D D | D | 0.6 | 0 | -0.6 |
| 189 | PAN Nina | D D D D D D | D | 1.1 | 0 | -1.1 |
| 190 | GISZCZAK Emma | D D D D D D | D | 0.7 | 0 | -0.7 |
| 190 | YAO Emma | D D D D D D | D | 2.4 | 0 | -2.4 |
| 190 | SHIN Ellie | D D D D D D | D | 0.4 | 0 | -0.4 |
| 193 | GUTKOVSKIY Chloe | D D D D D D | D | 1.0 | 0 | -1.0 |
| 194 | CHO Yuna | D D D D D D | D | 0.9 | 0 | -0.9 |
| 195 | ROSA Briardy | D D D D D D | D | 0.8 | 0 | -0.8 |
| 196 | ZHOU Jennifer | D D D D D D | D | 0.4 | 0 | -0.4 |
Color coded boxes represent the outcome against opponents of varying difficulty levels from the perspective of the fencer. Letters inside the boxes indicate victory (V) and defeat (D).
| Color | Outcome | Opponent's Difficulty | Probability of Victory |
|---|---|---|---|
| Victory | Very Hard | 0% to 20% | |
| Victory | Hard | 20% to 40% | |
| Victory | Roughly Even | 40% to 60% | |
| Victory | Easy | 60% to 80% | |
| Victory | Very Easy | 80% to 100% | |
| Defeat | Very Hard | 0% to 20% | |
| Defeat | Hard | 20% to 40% | |
| Defeat | Roughly Even | 40% to 60% | |
| Defeat | Easy | 60% to 80% | |
| Defeat | Very Easy | 80% to 100% |
The visual cues provided in this table highlight bouts that may be considered surprises based on the relative strengths of the competitors:
This visualization is designed to give both fencers and spectators an immediate sense of the unexpected outcomes of the competition. While every bout has its unique circumstances, these indicators can help highlight moments where a fencer overcame the odds or where there was an unexpected turn of events.