AFM Super Regional SYC/RJCC/ROC Div1A/Vet

Y-12 Women's Foil

Friday, October 6, 2023 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 ZOU Ella - - - - 1% 15% 84%
2 BROWN Lola - - - - 3% 24% 74%
3 TAO Ann - - - 3% 17% 45% 36%
3 LI Joy - - 4% 16% 35% 35% 10%
5 LI Alice - - 1% 8% 26% 40% 25%
6 BAE Yooju - - - - 3% 27% 70%
7 WANG Doreen - 1% 7% 24% 36% 25% 7%
8 YAO Abby - - 1% 8% 26% 40% 25%
9 ZHANG Lian - - 3% 15% 40% 37% 5%
10 AL-BATTAINEH Eva - - - 2% 13% 39% 46%
11 BU Jiayi - - - 3% 16% 42% 39%
12 ZEE Savannah - - 2% 10% 29% 39% 20%
12 HAN Mia - - 4% 16% 33% 33% 13%
14 DENG Claire - - 3% 15% 38% 37% 6%
15 SOE Hayleigh - - 3% 14% 35% 37% 11%
16 KIM Sydney - - 1% 7% 34% 49% 9%
17 ZHOU Joi - 3% 13% 29% 34% 18% 3%
18 PARK Lauren - - - 2% 14% 42% 43%
19 CHANG Olivia 1% 8% 24% 34% 24% 8% 1%
20 YU Sophie - 2% 10% 26% 35% 22% 5%
21 CHAN Ella - 2% 17% 44% 31% 6% -
22 DAI Iris Yuyang - 3% 15% 33% 33% 14% 2%
23 CHAN Mila - - 2% 13% 34% 37% 13%
24 ZHAO Olivia 1% 9% 25% 34% 23% 7% 1%
25 LIU Ariana - 2% 13% 30% 34% 18% 4%
26 HOROWITZ Shuli - 2% 12% 28% 34% 19% 4%
26 MA Isabelle - 2% 10% 31% 39% 17% 1%
28 MIYASHIRO Katelyn - - 1% 8% 27% 41% 23%
29 FUNG Sarafina - 2% 12% 28% 34% 20% 4%
30 FAN Sophia 6% 23% 35% 25% 9% 2% -
31 HOM Avery 4% 21% 36% 28% 10% 1% -
32 SCHULTZ Sumi 2% 25% 42% 24% 6% 1% -
33 LING Camryn - 3% 15% 31% 32% 16% 3%
34 CHANG Lydia - 1% 7% 25% 39% 24% 5%
35 ZHAN Catherine 2% 14% 32% 32% 16% 4% -
36 SAH Madeleine - 5% 21% 37% 28% 8% -
37 LIM Kensie - 3% 13% 29% 34% 18% 3%
38 NEUMANN Erika - 3% 13% 31% 35% 16% 2%
39 ZHANG Queeny 9% 30% 37% 19% 4% - -
40 LEE Abigail 4% 19% 33% 29% 13% 3% -
41 HUGHES Olivia - 1% 9% 29% 40% 20% 1%
42 KIM Natalie 3% 21% 39% 27% 9% 1% -
43 HSU Rachel - 4% 16% 31% 31% 15% 3%
44 THERON Zoe - 2% 12% 31% 35% 17% 3%
45 LEE Zoe - 1% 8% 27% 41% 23% 1%
46 LIU Ashley 2% 15% 34% 33% 13% 2% -
47 LIU Doris-Zihan Zhou 8% 29% 35% 21% 6% 1% -
48 KENSICKI Phoebe - 1% 11% 36% 40% 12% 1%
49 CHENG Audrey 16% 38% 32% 12% 2% - -
50 THOTA Akira 1% 10% 26% 34% 22% 7% 1%
51 TANG Amelia - 2% 12% 28% 34% 20% 4%
52 MIYOSHI Kylie - 1% 9% 25% 35% 24% 6%
53 TEWARI Amaira 3% 15% 31% 31% 15% 4% -
54 XIA Isabella 4% 18% 32% 29% 14% 3% -
55 AHN Hayley 13% 35% 35% 15% 3% - -
56 WANG Yanxuan(Alicia) 4% 27% 40% 23% 6% 1% -
57 JEON Joohong - 3% 14% 32% 33% 15% 2%
57 TELEB Farida 1% 8% 27% 37% 22% 5% -
59 ZHANG Elizabeth 1% 7% 24% 37% 25% 6% -
60 CHO Karis 1% 6% 20% 33% 28% 11% 2%
61 CHEN Aimee 7% 29% 36% 21% 6% 1% -
62 LIM Kora 6% 24% 35% 25% 9% 1% -
63 HOFFMAN Isabelle 11% 33% 35% 17% 4% - -
64 CHUN Ami 34% 44% 18% 3% - - -
65 KHAIRUL ANWAR Rania Yasmin 6% 26% 38% 23% 6% 1% -
66 ARYA Leela - - - 4% 22% 49% 25%
67 ZHAO Ashley 6% 34% 41% 16% 3% - -
68 ARUNKISHORE Dakshina 3% 20% 37% 29% 10% 2% -
69 KIM Audrey 2% 19% 39% 30% 9% 1% -
70 LIU Mia 15% 37% 32% 12% 2% - -
71 SAIFEE Zahra 1% 9% 25% 34% 23% 7% 1%
72 DVOIRIS Maya 7% 29% 38% 21% 4% - -
73 LI Audrey 15% 39% 32% 12% 2% - -
74 ZHANG Hannah 18% 37% 30% 12% 3% - -
75 DESAI Zoya 3% 19% 38% 30% 9% 1% -
76 COLIC LANI 3% 17% 34% 31% 13% 2% -
77 HOM Emma 18% 39% 31% 10% 1% - -
78 YANG Byanca 29% 41% 23% 6% 1% - -
79 GU Chenyu 1% 7% 22% 34% 25% 9% 1%
80 KO HOFWEGEN Lineke 2% 15% 34% 33% 13% 2% -
81 JENA Aanvi - 3% 14% 30% 32% 17% 3%
82 FATTAL Leila 5% 24% 35% 25% 9% 2% -
83 MCLANAHAN Jasmine 13% 34% 33% 15% 4% - -
84 SHEN Gloria 19% 38% 29% 11% 2% - -
85 JEANSON Sierra 15% 36% 32% 14% 3% - -
86 BASTUNAS Marissa 61% 32% 6% - - - -
86 YATAVELLI Aria 69% 27% 3% - - - -
88 CHEN Yifan 20% 41% 29% 9% 1% - -
89 LUO Olivia 11% 31% 34% 18% 5% 1% -
89 IRELAND Moira 23% 42% 27% 8% 1% - -
91 YU-TAN Claire 33% 41% 20% 5% 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.