AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-14 Women's Foil

Saturday, November 1, 2025 at 8:00 AM

Santa Clara Convention Center - Santa Clara, CA, 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 LI Alice - - - - 3% 23% 74%
2 TELEB Farida - - 2% 9% 28% 39% 22%
3 BROWN Lola - - - - 1% 21% 78%
3 LIU Ashley - - - - 4% 28% 68%
5 YAO Abby - - - 3% 17% 43% 37%
6 CHUNG Katie - - 5% 38% 45% 11% -
7 CHANG Olivia - - - 3% 22% 54% 21%
8 MA Isabelle - - 2% 12% 38% 39% 9%
9 HAN Mia - - - 1% 12% 41% 46%
10 HSIAO Ariya - - - 2% 11% 39% 48%
11 THERON Zoe - - - - 5% 31% 64%
12 LIU Ariana - - - - 5% 30% 65%
13 DAI Iris Yuyang - - - - 6% 38% 56%
14 WANG Doreen - - 6% 31% 47% 16%
15 SHEN Gloria - 1% 7% 22% 38% 28% 4%
16 CHEN Summer - 2% 16% 36% 33% 12% 1%
17 XIA Isabella - - 3% 23% 53% 21%
18 HSU Rachel - - - 3% 24% 48% 25%
19 SCHULTZ Sumi - - 2% 13% 34% 38% 12%
20 CHAN Ella - - - 6% 26% 43% 24%
21 JIANG Ziqing - 1% 7% 25% 39% 24% 3%
22 CHAN Mila - - - 1% 10% 38% 50%
23 DENG Claire - - - 3% 23% 54% 21%
24 PARK Lauren - - - 1% 10% 39% 50%
25 SAH Madeleine - - - 5% 30% 55% 9%
26 NEUMANN Erika - - - - 6% 37% 56%
27 JIN Jada Y - 1% 7% 27% 39% 23% 3%
28 HONG ELSIE - 2% 13% 33% 35% 15% 2%
29 ZEE Savannah - - 1% 10% 41% 49%
30 JENA Aanvi - 3% 15% 35% 36% 11%
31 HAN Gian - - - 3% 17% 42% 37%
32 CHO Karis - - 3% 15% 35% 36% 11%
33 MIYASHIRO Katelyn - - - 1% 7% 36% 56%
34 RUI Jessie - - 2% 16% 39% 34% 10%
35 HAYLETT Emily 5% 22% 35% 27% 10% 2% -
36 THOTA Akira - - 4% 18% 39% 32% 7%
37 KIM Ines - 9% 30% 38% 19% 3% -
38 SAIFEE Sakina 1% 8% 25% 35% 23% 7% 1%
39 ZHOU Joi - - - 5% 38% 57%
40 FU Pui Lam (Paisley) - - 1% 11% 42% 37% 9%
41 LEE Abigail - - 4% 19% 40% 31% 7%
42 TEWARI Amaira - - 6% 40% 43% 10% -
43 ZHANG Katie Q. - 5% 26% 49% 18% 2% -
44 LIM Kensie - - - 2% 20% 47% 31%
45 ZHAN Catherine 2% 12% 32% 35% 16% 3% -
46 PAN Samantha - 8% 27% 37% 22% 6% -
47 KIM Natalie - - 4% 20% 43% 29% 5%
48 CHENG Audrey - 1% 6% 22% 36% 27% 7%
49 YANG Hanli - - 4% 19% 40% 33% 4%
50 ESAKI Kei - - 1% 11% 34% 39% 14%
51 KIM Lauren - 1% 8% 28% 39% 22% 3%
52 DESAI Zoya 1% 7% 22% 35% 26% 8% 1%
53 HOM Emma - 3% 13% 32% 35% 15% 1%
54 LIU Anya - 3% 16% 35% 34% 11% 1%
55 ZHANG Viviana - - 4% 19% 42% 35%
56 ZHU Claire 8% 35% 42% 14% 2% -
57 SMIRNOV Victoria - 3% 17% 38% 34% 8% -
58 MIYOSHI Kylie - 2% 11% 28% 35% 20% 4%
59 LUCAS Ava - 2% 15% 39% 32% 11% 1%
60 KIM Olivia 3% 20% 40% 29% 8% 1% -
61 LIN Avery 1% 10% 27% 34% 21% 5% -
62 PAWAR Sanvi 8% 52% 34% 7% 1% - -
63 TIAN Claire 5% 40% 38% 14% 2% - -
64 QIAO Lori-Ann 1% 8% 29% 41% 18% 3% -
65 LIGERET Stella - - 1% 9% 31% 44% 14%
66 CHEUNG Carabelle 2% 17% 40% 32% 8% 1% -
67 KLIVANS Gwyneth 3% 30% 49% 16% 1% -
68 RENGANATHAN Krithiga 8% 30% 37% 20% 4% -
69 YU Xintong - 6% 24% 38% 25% 6% -
70 KIM Audrey 5% 23% 37% 27% 8% 1%
71 SMOLICH Emily - 1% 5% 19% 37% 32% 7%
72 KHANAL Sarah 1% 12% 34% 35% 15% 2% -
73 LI Sophia - 2% 20% 53% 22% 2%
74 NAKAZATO Olivia 1% 13% 34% 35% 16% 2% -
75 WU Gloria 1% 9% 31% 37% 18% 4% -
76 CHEN Madeleine - 4% 20% 36% 29% 9% 1%
77 IRELAND Moira 1% 9% 31% 39% 18% 2% -
78 LAVERY Lucy - - 2% 11% 34% 44% 10%
78 GOWDA Siyona 1% 11% 32% 36% 17% 3% -
80 LI Audrey - 6% 26% 38% 24% 6% 1%
81 SAIFEE Zahra - 5% 25% 38% 25% 7% 1%
82 DVOIRIS Maya 1% 7% 23% 35% 25% 8% 1%
83 NICOLETTI Thea - 8% 27% 37% 22% 6% -
84 LI Annabelle 6% 24% 36% 25% 8% 1% -
84 DONG Nancy 8% 28% 37% 21% 5% 1% -
86 MCLANAHAN Jasmine - 4% 19% 37% 31% 9% 1%
87 BASTUNAS Marissa 41% 41% 15% 3% - - -
88 KO Adeline 12% 32% 34% 17% 4% - -
89 LAI Olivia 29% 44% 22% 4% - - -
90 AHN Hayley - 3% 20% 45% 27% 4%
91 CHU Lauren 15% 43% 34% 8% 1% -
92 LING Camryn - - 6% 27% 48% 18% 2%
93 JOESUF Aurielle 1% 9% 27% 36% 22% 5% -
94 WANG Ellen 9% 34% 39% 16% 2% - -
94 YANG Byanca 2% 18% 40% 32% 7% - -
96 LAM Dorris Yandor - 11% 32% 36% 17% 3% -
97 DUDLEY Kaitrin 2% 13% 32% 34% 16% 3% -
98 FU Joy 5% 22% 35% 26% 9% 1% -
99 STOCK Nina 69% 28% 3% - - -
100 GUO Jianing 7% 33% 39% 18% 3% - -
101 LEE Clara 27% 48% 22% 2% - - -
102 VALOUEVA Katerina 12% 34% 34% 15% 3% - -
103 TANG Ming-Hao (Audrey) 40% 44% 15% 2% - - -
104 KIM Ellen 3% 17% 36% 32% 11% 1%
105 ZHANG Annabelle 5% 23% 37% 26% 8% 1% -
106 DEJOY Leilah 9% 29% 35% 21% 6% 1% -
107 CHOI Jian 1% 11% 28% 34% 20% 6% 1%
108 TATINENI Charvi 6% 25% 37% 24% 6% 1% -
109 KIM Rylie 3% 25% 39% 25% 7% 1% -
110 LIU Madeleine 31% 48% 18% 3% - - -
110 FENG Sophia 14% 41% 34% 10% 1% - -
112 JOESUF Thea 5% 21% 35% 27% 10% 2% -
113 ALEKSANDROVA Mira 16% 46% 32% 6% - - -
114 LIU Sylvia 12% 34% 35% 16% 3% - -
115 ARUNKISHORE Dakshina 1% 16% 46% 29% 7% 1% -
116 FAN Lauren 10% 32% 36% 18% 4% - -
118 KRISHNAN Maya 23% 42% 27% 8% 1% - -
119 ARCE BASURCO Juliana 19% 39% 30% 10% 2% - -
120 TAI Taphanie 10% 30% 35% 20% 5% 1% -
121 CHO Rylee 22% 45% 26% 6% 1% - -
122 FENG Christy 23% 41% 27% 8% 1% -
123 HONDA Emi 40% 44% 14% 1% - -
124 LUO Olivia 17% 40% 31% 11% 2% - -
125 YOUN Davina 12% 37% 36% 13% 2% - -
126 SUN Suri 8% 36% 42% 13% 1% - -
127 SHIN Ellie 80% 19% 2% - - - -
128 KAIMAN Tabby 81% 18% 1% - - - -
129 KIM Chloe 13% 43% 39% 5% - - -
130 YUEN Hannah 39% 43% 15% 2% - - -
131 TANG Amelia 6% 28% 37% 22% 6% 1% -
132 SARANGAN Ovia 35% 47% 16% 2% - - -
133 YANG Claire 51% 38% 10% 1% - - -
134 CHOI Mackenzie 28% 48% 22% 2% - - -
135 LU Christina 10% 48% 35% 6% - -
136 JIANG Ziqi 31% 45% 20% 4% - - -
137 SOUSA Lauren 80% 18% 1% - - - -
137 HUEMMER Sophia 73% 24% 3% - - - -

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.