AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Cadet Women's Foil

Sunday, November 2, 2025 at 12:30 PM

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 LIU Samantha - - - - 3% 27% 69%
2 LIU Ariana - - 2% 14% 43% 41%
3 PENG Charlotte - - 3% 17% 42% 38%
3 LIU Ashley - 3% 15% 34% 36% 12%
5 LUO Miranda - - - 2% 15% 41% 42%
6 PARK Lauren - 1% 11% 37% 39% 12%
7 RUI Jessie - 3% 17% 35% 32% 12% 2%
8 MA Isabelle 1% 10% 30% 38% 19% 3%
9 LI Alice - - - 2% 14% 40% 44%
10 THERON Zoe - - - 4% 19% 43% 34%
11 GUAN Adeline - - - 2% 13% 41% 44%
12 LEE Zoe E. - 2% 16% 40% 34% 9%
13 TAO Ann - - 4% 25% 45% 25%
14 CHO Karis - 3% 16% 33% 32% 14% 2%
15 DENG Claire - 6% 26% 37% 23% 6% -
16 YANG Hanli - 11% 36% 36% 14% 2% -
17 WYNN Kylie - - - 1% 6% 30% 64%
18 ZHOU Joi - 1% 9% 32% 41% 16%
19 HSIAO Ariya - 6% 28% 44% 22%
20 JIN Jada Y - 1% 14% 38% 36% 10% 1%
21 LENK Sophie - - - 3% 14% 40% 43%
22 HOM Avery - 5% 25% 40% 24% 6% -
23 XIA Isabella - 5% 22% 36% 27% 9% 1%
24 KENSICKI Phoebe 1% 14% 41% 35% 9%
25 AL-BATTAINEH Eva - - - 3% 15% 40% 41%
26 LEVESQUE Brielle - - 2% 12% 34% 39% 14%
27 CHOI Sophie - 3% 15% 33% 33% 14% 2%
28 ZONG Melody - - 1% 10% 35% 46% 9%
29 DESAI Esha - 1% 8% 27% 39% 22% 4%
30 HSU Rachel - 2% 10% 27% 37% 21% 3%
31 PEDERSEN Haley - 1% 8% 33% 44% 15%
32 CHANG Olivia - 3% 18% 38% 31% 10% 1%
33 CHANG Lydia - 3% 18% 34% 31% 12% 1%
34 CHUNG Katie 1% 11% 35% 36% 15% 3% -
35 HAN Gian - 1% 9% 28% 38% 21% 4%
36 MATTUPALLI Ashwika - 1% 10% 30% 37% 19% 3%
37 FANG Kelervia - - 4% 20% 39% 30% 7%
38 CHAN Ella - - 3% 17% 38% 33% 8%
39 XIE Su - - - 5% 23% 44% 28%
40 FU Pui Lam (Paisley) 1% 8% 25% 35% 24% 7% -
41 CHAN Mila - - 6% 29% 44% 20%
42 MIYASHIRO Katelyn - - 4% 19% 43% 35%
43 THOTA Akira 13% 35% 34% 15% 3% -
44 LI Chelsea - 3% 18% 42% 31% 6%
45 WANG Ellen 40% 44% 14% 2% - -
46 LIGERET Stella - 3% 19% 37% 30% 11% 1%
47 DAI Iris Yuyang - - 4% 18% 38% 32% 8%
48 CHEN Jinyu - - 4% 20% 38% 29% 7%
49 DESAI Zoya - 5% 28% 42% 22% 4% -
50 LIM Kensie - 4% 19% 35% 29% 11% 1%
51 NEUMANN Erika - - 5% 24% 44% 26%
52 ZEE Savannah - 3% 16% 37% 34% 9%
53 KIM Natalie 4% 20% 37% 29% 9% 1%
54 SHEN Gloria 6% 25% 37% 24% 7% 1%
55 SCHULTZ Sumi 1% 11% 30% 34% 19% 5% -
56 ZHANG Viviana - 3% 20% 37% 29% 10% 1%
57 HAN Mia - 2% 13% 31% 35% 17% 2%
58 HONG ELSIE - 6% 25% 39% 23% 6% 1%
59 WU Chingfei Amber - 5% 25% 45% 25%
60 MIYOSHI Kylie 1% 12% 40% 34% 11% 1%
61 LEE Abigail 4% 25% 44% 22% 4% -
62 MCLANAHAN Jasmine 8% 27% 35% 22% 7% 1% -
63 JOESUF Aurielle 11% 43% 34% 10% 1% - -
64 ZHU Yunyao 11% 32% 36% 17% 4% -
65 TEWARI Amaira 4% 28% 39% 22% 6% 1% -
66 KULKARNI myra 19% 52% 25% 4% - -
67 LUCAS Ava 11% 44% 35% 10% 1%
68 MATVEYEV Julia - 8% 28% 36% 22% 6% 1%
69 SAH Madeleine - 3% 16% 33% 32% 14% 2%
69 LI Sophia 8% 27% 35% 22% 7% 1% -
71 DING Madison 3% 32% 46% 17% 2% -
72 LAVERY Lucy 4% 24% 39% 26% 7% 1%
73 KIM Lauren 1% 7% 22% 35% 26% 8% 1%
74 AHN Hayley - 4% 26% 42% 24% 4% -
75 JENA Aanvi 3% 20% 40% 28% 8% 1% -
76 CHEN Madeleine 5% 44% 38% 12% 2% - -
76 NAKAZATO Olivia 27% 45% 23% 5% - - -
78 CHU Lauren 42% 42% 14% 2% - - -
79 TAI Taphanie 46% 40% 12% 2% - -
80 DVOIRIS Maya 5% 38% 42% 13% 1% -
81 TAN Shouyin 4% 25% 39% 24% 6% 1%
82 MONAT Jennifer - 2% 13% 31% 34% 16% 2%
83 ZHANG Queeny 1% 20% 38% 29% 10% 2% -
84 IRELAND Moira 15% 51% 28% 6% 1% - -
85 YU Xintong 10% 31% 35% 19% 5% 1% -
86 LAM Dorris Yandor 25% 45% 24% 5% 1% - -
87 LU Christina 87% 13% 1% - - - -
88 FENG Sophia 62% 34% 4% - - - -
89 LING Camryn 20% 47% 27% 5% - -
90 GUTIERREZ Gia 55% 38% 6% - - -
91 VOROBIEV Alexandra 60% 34% 6% - -
92 CHO Rylee 74% 23% 2% - - -
93 LIU Sylvia 66% 29% 5% - - - -
94 BASTUNAS Marissa 20% 56% 21% 3% - - -
95 SARANGAN Ovia 60% 34% 6% - - - -
95 BROWN Favianna 80% 18% 1% - - - -
97 XIAO Helen 2% 13% 33% 35% 14% 2% -
98 YANG Byanca 63% 33% 4% - - - -

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.