AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-12 Women's Foil

Friday, October 31, 2025 at 12:30 PM

Santa Clara Convention Center - Santa Clara, CA, USA

Probability density of pool victories

Reset

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 PARK Lauren - - - - 2% 21% 76%
2 CHANG Lydia - - - - 6% 33% 60%
3 TELEB Farida - - - 2% 11% 38% 49%
3 THOTA Akira - - 2% 12% 33% 38% 14%
5 KENSICKI Phoebe - - - - 2% 25% 73%
6 LEE Zoe E. - - - 1% 6% 32% 62%
7 SOE Hayleigh - - - 5% 29% 66%
8 SMOLICH Emily - - - 5% 21% 43% 30%
9 DESAI Zoya - - - 3% 16% 41% 41%
10 LIU Anya - - 2% 13% 32% 37% 16%
11 HOM Emma - - 4% 21% 41% 28% 4%
12 JOESUF Thea - 4% 21% 41% 29% 4%
13 CHOI Jian - - - 6% 29% 53% 12%
14 QIAO Lori-Ann - - 4% 17% 35% 33% 11%
15 DEJOY Leilah 1% 8% 31% 40% 19% 2%
16 SMIRNOV Victoria - - 5% 24% 41% 26% 4%
17 ESAKI Kei - - - - 4% 26% 70%
18 CHENG Audrey - - - 3% 17% 42% 38%
19 CHUNG Katie - - 1% 6% 23% 43% 28%
20 LI Audrey - - - 5% 26% 52% 17%
21 LIN Avery - - 1% 9% 28% 40% 21%
22 LAM Dorris Yandor - - 5% 21% 40% 27% 6%
23 SAIFEE Zahra - - 1% 6% 25% 44% 25%
24 ZHU Claire - 1% 12% 32% 35% 17% 3%
25 FU Joy - 1% 8% 26% 37% 23% 4%
26 FENG Christy 2% 13% 32% 34% 16% 3% -
27 WU Gloria - 1% 9% 29% 39% 19% 3%
28 WANG Doreen - - - 3% 16% 43% 39%
29 SHEN Gloria - - - - 6% 35% 59%
30 KIM Audrey - 3% 13% 32% 35% 15% 2%
31 MAHAPATRA Alisha - 1% 7% 24% 38% 26% 4%
32 KENT Audrey - 4% 20% 35% 29% 10% 1%
33 POON Taylor 2% 13% 34% 36% 14% 2% < 1%
34 JIANG Ziqing - - 1% 7% 27% 44% 22%
35 TATINENI Charvi - 3% 15% 33% 33% 15% 2%
36 SAIFEE Sakina - 1% 7% 25% 38% 24% 4%
37 ZHAI Muyan - 1% 7% 26% 39% 23% 5%
38 LI Annabelle - - 6% 22% 37% 27% 7%
39 CHUNG Charlotte - 2% 14% 33% 34% 14% 2%
40 NICOLETTI Thea - - 2% 14% 35% 36% 12%
40 PAWAR Sanvi - 2% 12% 36% 40% 10% -
42 NAKAZATO Olivia - 1% 7% 24% 37% 25% 6%
43 GOWDA Siyona - 5% 19% 34% 30% 11% 1%
44 KIM Ines - 2% 11% 29% 35% 20% 4%
45 ZHANG Katie Q. 1% 9% 27% 36% 21% 5% -
46 YOUN Davina - 2% 15% 35% 33% 13% 2%
47 TIAN Claire - 2% 10% 28% 36% 20% 3%
48 ZHAN Catherine - 2% 10% 29% 38% 19% 2%
49 SHU Kayla 1% 9% 30% 36% 19% 5% -
50 KIM Ellen - 1% 7% 24% 38% 25% 5%
51 PAN Samantha - 2% 12% 30% 36% 18% 2%
52 CHEN Summer - - 2% 12% 35% 39% 12%
53 LIN Clara - 4% 17% 34% 31% 12% 2%
54 HOLSTAD Anneliese - 3% 16% 36% 34% 9% 1%
55 FU Angela 5% 23% 36% 26% 9% 1% -
56 ARUNKISHORE Dakshina - 2% 14% 33% 34% 15% 2%
57 KLIVANS Gwyneth 3% 18% 36% 30% 11% 2% -
58 LI Claire 7% 27% 37% 23% 6% 1% -
59 KHANAL Sarah - 2% 14% 32% 34% 16% 3%
60 KIM Rylie - 7% 29% 39% 21% 4% -
61 CHEN bridgette - 1% 9% 28% 39% 21% 2%
62 DONG Nancy 1% 12% 31% 34% 17% 4% -
63 GOWDA Adisha 3% 18% 34% 30% 13% 2% -
64 VALOUEVA Katerina - 7% 30% 37% 20% 5% -
65 SHI Cathy - 7% 28% 39% 21% 4% -
66 KO Adeline 1% 9% 26% 35% 23% 6% -
67 NAKAZATO Isabella - 3% 16% 34% 32% 12% 2%
68 KAGAN Natalie 1% 8% 29% 40% 19% 2% -
68 FAN Lauren 1% 10% 34% 37% 15% 2% -
70 GUO Jianing 7% 34% 39% 17% 3% -
71 XIA Emily 12% 34% 35% 16% 3% - -
72 YUEN Hannah 31% 48% 18% 2% - - -
73 CHEN Michelle - 6% 26% 39% 23% 5% -
74 KIM Olivia 3% 21% 38% 27% 9% 1% -
75 LUO Olivia 6% 29% 38% 21% 5% 1% -
76 LEE Clara 20% 43% 28% 8% 1% - -
77 LAI Olivia 1% 10% 31% 37% 17% 3% -
78 KUO Esme 5% 27% 39% 23% 5% 1% -
79 HONDA Emi 15% 36% 32% 14% 3% - -
80 MORONES Alieza 6% 26% 38% 23% 6% - -
81 TAGNE Zoey - 6% 23% 36% 26% 8% 1%
83 YI Helen 6% 28% 40% 21% 4% - -
84 TANG Ming-Hao (Audrey) 37% 46% 14% 2% - - -
85 TUNG Alison 8% 29% 37% 21% 5% 1% -
86 CHEN Chloe 11% 45% 34% 10% 1% - -
87 CHEUNG Carabelle 12% 34% 35% 15% 3% - -
88 ZHANG Annabelle 2% 16% 39% 33% 10% 1%
89 SOUSA Lauren 25% 42% 26% 7% 1% - -
90 ZHANG Selene T. 2% 12% 30% 34% 17% 4% -
91 GUO Christine 3% 19% 40% 29% 9% 1% -
92 CHUNG Songyoon 13% 39% 35% 12% 2% - -
93 SU Hermione Su 12% 36% 36% 14% 2% - -
94 JIANG Ziqi 11% 36% 35% 15% 3% - -
94 CHEN Celina 31% 44% 21% 4% - - -
96 CHOI Mackenzie 25% 48% 23% 4% - - -
97 STOCK Nina 66% 30% 4% - - - -
98 ARCE BASURCO Juliana 12% 33% 34% 17% 4% - -
99 DONG Ena 48% 40% 11% 1% - - -
100 LIN Tiffany 15% 37% 33% 13% 2% - -
101 YANG Claire 36% 42% 18% 3% - - -
102 MISSON Arya 59% 34% 7% 1% - -
103 ALEKSANDROVA Mira 10% 33% 37% 17% 3% - -
104 SCHOR Katherine 39% 45% 14% 2% - - -
104 LEE Annalyn 31% 44% 21% 4% - - -
104 CHEUNG Arya 23% 40% 27% 9% 1% - -
107 YEN Kayleigh 13% 41% 33% 11% 2% - -
108 SCHULTZ Emmi 32% 44% 20% 4% - - -
109 NILANGEKAR Nikita 29% 42% 23% 6% 1% - -
110 WANG Muse 24% 44% 25% 6% 1% - -
111 SHIN Ellie 30% 49% 18% 3% - - -
112 SUN Zoey 48% 39% 11% 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.