National Championships and July Challenge (Summer Nationals)

Y-10 Women's Foil

Sunday, July 6, 2025 at 11:00 AM

Baird Center - Milwaukee, WI, USA

Probability density of pool victories

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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 XU Sevilla - - - - - 11% 88%
2 YANG Olivia - - 2% 13% 41% 42% 3%
3 CHAN Jolene - - - - 5% 29% 65%
3 LUO lucy - - - 3% 15% 40% 42%
5 FRASER Morgan - - - 1% 8% 35% 56%
5 ZHU Alivia - - - 2% 15% 45% 38%
7 KIM Yuna - 2% 15% 42% 40%
8 ZHENG Annalyn - - - 1% 7% 33% 59%
9 JOO Sara - - - - - 7% 93%
10 CHEN Rachel Roujia - - - - 1% 18% 80%
11 CHEN Summer - - 5% 23% 43% 29%
12 ZHU Audrey - - 2% 10% 27% 39% 22%
13 QIAO Lori-Ann - - 1% 6% 24% 44% 25%
14 CHEN Hannah Rouhui - - - 3% 20% 49% 27%
15 SMIRNOV Victoria - 1% 6% 20% 34% 30% 10%
16 MCCLAIN Madison - 2% 12% 30% 35% 17% 2%
17 BYK Karalina - - - - 3% 24% 73%
18 ZHAN Catherine - 1% 8% 25% 37% 24% 4%
19 KHETPAL Aalia - - 1% 6% 24% 42% 26%
20 SHEN Gloria - - - 1% 8% 35% 56%
21 XING Melly - - - 2% 22% 76%
22 LI Annabelle - 2% 12% 34% 39% 13%
23 LIN Clara - 2% 10% 26% 36% 22% 4%
24 KIM Ines - 1% 6% 22% 38% 28% 4%
25 ZHANG Selina - - - 2% 14% 40% 44%
26 ENRIQUEZ Bianca Perla - - - 2% 11% 38% 50%
27 CHENG Audrey - - 1% 5% 20% 42% 32%
28 ELLISON Ingrid - - 4% 16% 34% 34% 11%
29 MILLER Anna - 1% 5% 21% 39% 30% 5%
30 SHI Cathy - 3% 15% 34% 34% 13% 2%
31 FAN Lauren - 6% 23% 37% 26% 8% 1%
32 CHEUNG Carabelle 10% 29% 34% 20% 6% 1% -
33 CULLIVAN Elise - 2% 9% 24% 35% 24% 6%
34 PAEK Ellie 1% 10% 30% 37% 19% 3%
35 MAHAPATRA Alisha - 1% 9% 26% 37% 23% 4%
36 HUANG Emma - - 3% 15% 34% 36% 12%
37 LAM Dorris Yandor - 2% 12% 29% 34% 19% 3%
38 CHUNG Charlotte - - 4% 22% 44% 27% 2%
39 ZHANG Annabelle - 1% 6% 23% 42% 27% 1%
40 VALOUEVA Katerina 1% 7% 24% 36% 24% 6% -
41 JU Victoria - 1% 11% 36% 45% 7%
42 LIU Bella - 3% 14% 32% 34% 15% 2%
43 WANG Joann - - - 3% 16% 41% 40%
44 SAVIOZ Naomi - 2% 10% 27% 36% 21% 4%
45 PEROJO Angie 1% 6% 21% 35% 28% 9% 1%
46 ARUNKISHORE Dakshina - - 2% 10% 30% 40% 18%
47 MCCLAIN Grayce - 2% 14% 34% 35% 14% 1%
48 WEN Lillian - 2% 11% 29% 36% 19% 4%
49 TATINENI Charvi - 5% 22% 38% 27% 8% -
50 NAKAZATO Isabella - 4% 17% 34% 32% 12% 1%
51 KO Adeline - 3% 17% 38% 32% 8% 1%
52 DONG Audrey - 8% 34% 40% 15% 2% -
53 JAZWINSKI Ivy - 1% 6% 23% 42% 28%
54 ZHOU Athena 2% 22% 39% 27% 8% 1%
56 KHANAL Sarah 3% 22% 42% 28% 6%
57 FENG Christy 6% 27% 40% 23% 4% -
58 DOMINIK Eliana - 5% 25% 42% 23% 4% -
59 LUO Olivia 1% 7% 23% 35% 25% 8% 1%
60 CLOUD Chrystie 1% 6% 21% 34% 27% 10% 1%
61 HWANG Carolina 4% 19% 33% 28% 12% 3% -
62 HOLSTAD Anneliese 1% 7% 26% 39% 23% 4% -
63 KENT Audrey 1% 10% 28% 36% 21% 5% -
64 CHAN Jaclyn 1% 10% 29% 35% 19% 5% -
65 KASHUBA Mila - 1% 5% 18% 33% 31% 11%
66 ELNAGGAR lea 3% 16% 32% 31% 14% 3% -
67 POON Taylor 13% 35% 34% 15% 3% < 1% -
68 LIU Anya - - 4% 20% 43% 32%
69 YOUN Davina - 2% 14% 34% 35% 14% 1%
69 KIM Rylie 1% 7% 24% 36% 25% 7% -
71 XU Alisa - 2% 11% 30% 37% 18% 2%
72 LAI Olivia - 5% 21% 39% 28% 7% -
73 BAX Mila 1% 9% 27% 35% 21% 6% -
74 LALONDE Beatrice 1% 5% 18% 32% 29% 13% 2%
75 FAROOQI Eliora 1% 11% 35% 36% 15% 2%
76 HUANG Jiayu 2% 16% 39% 34% 9%
77 SHU Kayla 2% 17% 39% 31% 10% 1%
78 YAO Emma - 2% 16% 37% 34% 10%
79 HO Avery 6% 40% 38% 14% 2% -
80 XU Selina - 1% 7% 29% 45% 18% 1%
81 DING Jessica 1% 6% 20% 32% 28% 11% 2%
82 KIM Lael - 2% 13% 31% 35% 17% 2%
83 XU Elaina 8% 27% 36% 22% 6% 1% -
84 LI Annabelle - 2% 12% 30% 36% 18% 2%
85 SAIFEE Sakina - - 3% 18% 44% 32% 3%
86 CHAN Chloe 1% 6% 20% 33% 28% 11% 1%
87 LUXIEO Cathy 3% 20% 39% 28% 8% 1% -
88 KAGAN Natalie 1% 13% 32% 33% 16% 3% -
89 SHIN Ellie 48% 39% 12% 2% - - -
90 FANG Savannah 7% 26% 35% 23% 8% 1% -
91 ZHANG Katie 4% 22% 39% 29% 6% -
92 LI Beatrice - 6% 26% 40% 23% 4%
93 LIU Mia - 9% 29% 38% 21% 4%
94 JONES Parker - 6% 24% 38% 25% 6%
95 HUFFMAN Seraphina 1% 7% 22% 34% 26% 9% 1%
96 XU Scarlett - 4% 17% 34% 32% 12% 1%
96 ZHENG Joanna - 2% 13% 35% 37% 13% -
98 TANG Clementine 14% 37% 33% 13% 2% - -
99 TAGNE Zoey 5% 23% 37% 26% 8% 1% -
100 LOPUS Marlena 29% 44% 22% 4% - - -
101 WELTER Gemma 1% 9% 34% 40% 16% 2% -
102 SUI Jessie 3% 15% 31% 31% 16% 4% -
103 YEN Kayleigh 15% 35% 31% 15% 4% - -
104 TELEB Amina 18% 39% 30% 11% 2% - -
105 KLIVANS Gwyneth 4% 17% 32% 29% 14% 3% -
106 LEE Madison 4% 18% 33% 29% 13% 3% -
107 ZHANG Norah 2% 13% 32% 34% 16% 3% -
108 KANASZ Peyton 18% 42% 30% 9% 1% - -
109 TEOH Kaylee 21% 44% 27% 7% 1% - -
109 GONZALEZ Alexandra 7% 24% 34% 25% 9% 2% -
111 LI Claire 9% 28% 35% 21% 6% 1% -
112 LI Claire 3% 15% 32% 32% 15% 3% -
112 WALSH Ardella 2% 12% 31% 35% 18% 4% -
114 CLOUD Cailynn 5% 25% 42% 23% 4% - -
115 LEE Annabel 10% 37% 37% 14% 2%
116 WANG Manny - 4% 21% 40% 28% 7%
117 ZHU Alicia 9% 28% 35% 21% 6% 1% -
118 GANOCY Sloane 10% 30% 34% 19% 5% 1% -
119 GU Alexandra 12% 33% 34% 17% 4% - -
120 DONG CAROLINE 5% 22% 37% 26% 9% 1% -
121 FONG Isabel 22% 41% 27% 8% 1% - -
122 WEST Mira 14% 35% 33% 15% 3% - -
122 GISZCZAK Emma 8% 27% 35% 22% 7% 1% -
124 WANG Sally - 3% 15% 33% 33% 14% 1%
125 CAMPOS-URQUIJO Emilia 21% 40% 28% 9% 1% - -
126 SUN Leia 17% 40% 32% 10% 1% -
127 MA Laurie 4% 18% 33% 29% 13% 3% -
128 JIANG Arwen 10% 31% 35% 19% 5% 1% -
129 SCHOR Katherine 33% 46% 18% 3% - - -
130 LIU Doris 8% 27% 35% 22% 7% 1% -
131 CHO Yuna 9% 29% 35% 20% 6% 1% -
132 LI Catherine 18% 40% 31% 10% 1% -
133 ZMUDA Jordan 43% 41% 14% 2% - -
134 WU Karina 4% 22% 37% 27% 9% 1% -
135 WANG Kelly 1% 9% 24% 33% 23% 8% 1%
136 CURRIER-BLAGG Bryn 21% 43% 28% 8% 1% - -
137 ROLKOWSKI Mia 28% 48% 21% 3% - - -
138 HALLEY Jacqueline 2% 14% 29% 32% 18% 5% -
139 JAGANNATHAN Aria 34% 45% 18% 3% - - -
140 CABBINESS CLAIRE 5% 28% 38% 22% 6% 1% -
141 SCHULTZ Emmi 30% 42% 22% 5% 1% - -
141 KIM Lisel 11% 33% 35% 17% 4% - -
143 KASHUBA Adriana 9% 31% 36% 19% 5% - -
144 WILKINS Aviella 41% 42% 15% 2% -
144 HSU Courtney 71% 26% 3% - - -
146 ZEE Bella 2% 16% 37% 32% 11% 1% -
146 KOCHER Lillian 3% 18% 37% 30% 11% 2% -
148 BROWN Juliette 20% 44% 29% 7% 1% - -
149 ZHANG Elizabeth 25% 44% 25% 6% 1% - -
150 LAWLOR Ailis 13% 41% 33% 11% 2% -
150 DUBOISKAYA Sofia 69% 27% 4% - - -
152 CHOI Mackenzie 41% 47% 11% 1% - - -
152 DUBOK Vasilisa 14% 36% 33% 14% 3% - -
154 LAHR Amelia 1% 7% 24% 35% 25% 7% -
155 MORONES Alieza 49% 38% 11% 2% - - -
156 SANCHEZ-BOROVSKAYA Snezhana 22% 42% 27% 8% 1% - -

Explanation

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.