AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-14 Women's Foil

Saturday, October 26, 2024 at 3:00 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 HO Addison - - - - 2% 19% 80%
2 LEVESQUE Brielle - - - 2% 18% 55% 25%
3 REN Kayley - - - - 3% 23% 74%
3 ZHOU Chenchu - - - - 3% 28% 69%
5 TAO Ann - - 1% 6% 26% 45% 23%
6 KIM Sydney - - - 5% 22% 44% 29%
6 BAE Yooju - - - - 1% 17% 81%
8 LIU Ariana - - 1% 8% 32% 42% 17%
9 POEI Lauren - - - 3% 15% 41% 41%
10 DUAN Sophie - - - - 5% 32% 63%
11 YONG Rosalind - - 4% 20% 44% 33%
12 THERON Zoe - 2% 17% 39% 33% 9%
13 ZHANG Lian - - 2% 10% 28% 39% 21%
14 LUO Miranda - - - 4% 21% 45% 29%
15 KENSICKI Phoebe - 2% 13% 32% 36% 16% 1%
16 DAI Iris Yuyang - 3% 19% 39% 31% 8%
17 HSU Kaylin - - - - - 8% 91%
18 WU Nicole Moxuan - - - 1% 11% 42% 46%
19 MIYASHIRO Katelyn - - 1% 8% 30% 43% 18%
20 CHAN Mila - - 1% 10% 34% 40% 15%
21 NEUMANN Erika - 1% 8% 32% 40% 17% 2%
22 LIU Samantha - - - 5% 28% 53% 13%
23 ZEE Savannah - - 2% 14% 40% 37% 7%
23 GUO Audrey - 1% 4% 17% 33% 33% 13%
25 WU Chingfei Amber - - - 7% 29% 43% 21%
26 CHO Karis - 4% 20% 41% 29% 5% -
27 MATTUPALLI Ashwika - 3% 21% 39% 28% 8% 1%
28 HSIAO Ariya - 1% 7% 26% 44% 22% 1%
29 CHAN Ella - 2% 12% 32% 37% 15% 1%
30 MA Isabelle - - 4% 21% 43% 27% 4%
31 ZHAO Olivia - 1% 6% 21% 35% 29% 8%
32 SWANSON Alexa - - - < 1% 5% 38% 57%
33 SAIFEE Lamya - - - - 1% 14% 86%
34 HAN Gian - - 3% 20% 41% 31% 5%
35 ZONG Melody - - - 7% 39% 42% 11%
36 HUGHES Olivia - - 3% 16% 42% 36% 3%
37 YU Sophie - 2% 13% 31% 35% 16% 2%
38 WANG Doreen 1% 7% 21% 33% 26% 10% 2%
39 PARK Lauren - - 4% 20% 41% 31% 3%
40 YAO Abby - - - 6% 35% 45% 14%
41 FAN Sophia 2% 15% 35% 33% 13% 2% -
42 SOE Hayleigh - 4% 22% 38% 27% 8% 1%
43 LI Joy - - - 3% 19% 44% 33%
43 ZHANG Ivy - - - 1% 7% 34% 59%
43 MONAT Jennifer - 1% 4% 16% 33% 33% 13%
43 SAH Madeleine - 1% 9% 27% 39% 22% 2%
47 TELEB Farida - 2% 11% 30% 38% 18% 1%
48 TAN Shouyin 5% 27% 41% 22% 4% - -
49 DENG Claire - 2% 11% 30% 37% 17% 3%
50 ARYA Leela 5% 22% 35% 26% 10% 2% -
51 CHEN Madeleine 2% 14% 33% 34% 15% 3% -
52 CHANG Olivia 1% 11% 28% 34% 20% 6% 1%
53 LI Alice - - 2% 11% 32% 39% 16%
54 LEE Abigail 9% 30% 36% 19% 5% 1% -
55 ZHANG Queeny - 3% 23% 40% 27% 6% -
56 RUI Jessie - 2% 14% 34% 34% 14% 2%
57 LU Keeva 1% 6% 20% 33% 28% 11% 2%
58 ZHANG Viviana - 1% 8% 31% 42% 18% 1%
59 HOROWITZ Shuli - 1% 5% 19% 37% 31% 8%
60 LIU Ashley - - 4% 23% 44% 28% 1%
61 SHUSTA Lily - 1% 7% 30% 41% 20% 2%
62 THOTA Akira - 5% 28% 40% 22% 4% -
63 LEE Zoe E. 1% 8% 24% 33% 24% 8% 1%
64 FU Pui Lam (Paisley) - 3% 22% 45% 25% 5% -
65 XIA Isabella - 1% 13% 36% 37% 13% 1%
66 HSU Rachel - 2% 15% 39% 34% 10% -
67 KIM Lauren - 1% 9% 29% 39% 19% 3%
68 LING Camryn - 4% 28% 51% 15% 2% -
69 SAIFEE Zahra - 5% 24% 41% 26% 4% -
70 LIM Kensie 4% 18% 32% 29% 13% 3% -
71 DESAI Zoya 1% 10% 43% 35% 10% 1% -
72 CHUN Ami 23% 42% 27% 7% 1% - -
73 IDANAWANG Madison 3% 21% 39% 28% 8% 1% -
74 ZHOU Joi - 3% 15% 38% 35% 9% -
75 MCLANAHAN Jasmine 5% 25% 39% 25% 6% 1% -
76 LI Chelsea - 3% 16% 36% 33% 11% 1%
77 CHANG Lydia 1% 10% 35% 37% 15% 2%
78 SHEN Gloria 7% 24% 34% 24% 9% 2% -
79 KIM Natalie 5% 24% 38% 25% 7% 1% -
80 LUCAS Ava 1% 10% 31% 37% 17% 3% -
81 ZHU Yunyao 1% 7% 24% 36% 24% 7% 1%
82 JIN Jada Y 4% 22% 40% 27% 7% 1% -
83 LI Sophia 2% 17% 36% 31% 12% 2% -
84 AHN Hayley 4% 25% 40% 25% 6% 1% -
85 MIYOSHI Kylie 1% 9% 26% 34% 22% 7% 1%
86 NAKAZATO Olivia 6% 28% 42% 20% 4% - -
87 DONG Nancy 25% 45% 24% 5% - - -
88 LIN Avery 7% 38% 41% 13% 2% - -
88 BHANGOO Paloma 24% 56% 18% 2% - - -
90 CHEN Elysia 7% 28% 39% 21% 4% - -
91 CHU Lauren 4% 28% 48% 18% 2% - -
92 IDANAWANG Allison 22% 43% 27% 7% 1% - -
93 JENA Aanvi 4% 23% 41% 26% 6% - -
94 YUEN Kaitlyn 69% 28% 3% - - -
95 BENNYHOFF Myla 20% 44% 28% 7% 1% - -
96 FANG Kelervia - 6% 26% 41% 23% 4% -
96 DVOIRIS Maya 12% 31% 33% 18% 5% 1% -
98 JIANG Ziqing 7% 28% 37% 21% 5% - -
99 YU Xintong 13% 36% 35% 14% 3% - -
99 SARANGAN Ovia 9% 52% 31% 7% 1% - -
99 TANG Amelia 4% 21% 38% 29% 8% 1% -
102 KIM Audrey 2% 13% 34% 37% 13% 2% -
103 HONG ELSIE 14% 35% 33% 14% 3% - -
104 OTAEGI Elorri 9% 34% 38% 16% 3% - -
105 TAI Taphanie 44% 41% 13% 2% - - -
106 LI Audrey 7% 28% 38% 21% 5% 1% -
107 GOWDA Siyona 28% 44% 23% 5% - - -
108 GOITIA Genevieve 1% 12% 32% 35% 17% 3% -
109 CHUNG Katie 5% 34% 43% 16% 2% - -
110 TEWARI Amaira 11% 52% 30% 7% 1% - -
110 YANG Byanca 23% 50% 24% 3% - - -
112 WANG Ellen 23% 43% 27% 6% 1% - -
113 PAN Samantha 9% 46% 34% 10% 1% -
114 VARADHARAJ Ahaana 29% 43% 22% 5% 1% - -
114 HONDA Emi 63% 32% 5% - - - -
116 NICOLETTI Thea 28% 41% 23% 7% 1% - -
117 CHEN Aimee 12% 34% 35% 16% 3% - -
118 GUO Jianing 26% 46% 24% 4% - - -
118 YIN Anthea 58% 38% 4% - - - -
118 PAWAR Sanvi 31% 43% 21% 5% - - -
118 Q Mia 56% 35% 8% 1% - - -
118 LEE Clara 43% 44% 12% 1% - - -
123 LEE Adelaide 72% 26% 2% - - - -
124 KIM Phoebe 77% 22% 1% - - - -
124 WARBURTON Eleanor 62% 31% 6% 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.