AFM Super Regional SYC/RJCC/ROC (D1A/VET)

Y-14 Women's Épée

Sunday, November 6, 2022 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 LEE REGINA - - - - 1% 11% 89%
2 WANG Angelina - - 6% 27% 45% 21%
3 CARRIER Meredith - 1% 5% 19% 35% 31% 10%
3 MARTYNOVA Diana - - 3% 20% 45% 32%
5 HUANG Lanlan - - - 2% 13% 39% 46%
6 LEE Olivia - - - 1% 10% 38% 51%
7 WANG Ziqi (yoyo) - - - 1% 9% 36% 55%
8 CHUNG Penelope 1% 7% 26% 39% 24% 4%
9 WANG Zoe - 2% 11% 29% 37% 19% 2%
10 PHUKAN Indra - - 3% 16% 42% 39%
11 GUO Luxi - 2% 12% 34% 37% 15%
12 KAMEL Jana - 3% 16% 35% 33% 12% 1%
13 CHI Chelsea - - - 3% 20% 45% 31%
13 YILMAZ Pinar - - - 5% 25% 45% 23%
15 XU Serena - - 7% 31% 41% 18% 3%
16 MULAGARI Swarasai 3% 18% 35% 30% 12% 2% -
17 LIN Ariel - 2% 10% 26% 35% 22% 5%
18 SHARMA Sanvi - - - 1% 10% 37% 52%
19 BEAVER Ava - - - - 5% 29% 65%
20 BHATT Anisha - 1% 8% 24% 37% 25% 5%
21 NAIR Supriya - 2% 10% 28% 36% 20% 4%
22 BURICEA Ada - 1% 8% 23% 35% 26% 7%
23 WANG Jessie - 1% 7% 22% 36% 27% 8%
24 HSIU Elizabeth - - 1% 8% 27% 42% 22%
25 WANG Victoria - 3% 17% 37% 32% 10%
26 LEE Camilla - - 4% 20% 44% 32%
27 BO GENESIS - 3% 15% 33% 34% 14% 1%
28 MENDOZA zoie - 1% 8% 27% 40% 21% 3%
29 BROWN Riley - 3% 13% 31% 35% 16% 2%
30 XU Celina 1% 6% 21% 35% 27% 9% 1%
31 GUAN Isabella - - 4% 16% 33% 33% 13%
32 MOLLINIER Angel - 2% 9% 27% 37% 22% 3%
33 WANG Sara - 11% 35% 37% 15% 2%
34 ABUELFUTUH Sama - - 2% 12% 36% 39% 10%
35 AIRES Julia - - 2% 10% 29% 40% 19%
36 ZHAO Yanning - 5% 20% 35% 29% 10% 1%
37 FREEMAN Kate - 5% 24% 39% 26% 5%
38 MYRAH Vivienne - 1% 9% 32% 42% 16%
39 CAMAMA Tessa - 5% 24% 40% 25% 6%
40 SALAZAR Emma 1% 7% 30% 40% 19% 3%
41 YIN Gabriela - 2% 12% 32% 36% 15% 2%
42 HANKINS Morgan - - 2% 11% 31% 39% 17%
43 LEE Yeriel 3% 16% 33% 32% 14% 3% -
44 LIANG Jingjing 4% 19% 34% 29% 12% 2% -
45 YUNG Bethany 1% 7% 25% 37% 24% 6% -
46 SIMHADRI Sanjana 4% 21% 36% 27% 10% 1% -
47 FISCHBEIN Quinley - 4% 18% 34% 32% 11% -
48 LI Yunxuan 1% 8% 25% 35% 24% 7% 1%
49 ZHUANG Lauren 1% 10% 36% 38% 13% 1%
50 JAQUISH Zoey 45% 40% 13% 2% - -
51 PATTERSON Liliya 12% 35% 34% 15% 3% - -
52 KAUR Jaap 16% 37% 32% 13% 3% - -
53 CHANG Abigail 2% 15% 32% 31% 15% 4% -
54 BLANCO Ariia - 1% 11% 38% 37% 12% 1%
55 TSE Harmony 5% 21% 35% 27% 10% 2% -
56 DAVIS Violet 4% 20% 36% 29% 11% 1% -
57 JAMES Ashley 21% 44% 27% 7% 1% -
58 WU Jessica 1% 9% 31% 38% 18% 3%
59 CHIRASHNYA Mika - 3% 15% 31% 32% 16% 3%
60 SCHOR Elisabeth 5% 23% 38% 26% 7% 1% -
61 KELMAN Nora 12% 33% 34% 17% 4% - -
62 KANDALA Aanya 7% 27% 36% 23% 7% 1% -
63 BUCA Nora 3% 15% 32% 32% 15% 3% -
64 CHANG chaehee 33% 45% 19% 3% - -
65 GAN Shelby 2% 14% 34% 33% 14% 3% -
66 PYE Emily 8% 29% 36% 21% 6% 1% -
67 LIN Isabel 2% 13% 33% 35% 15% 2% -
68 YOUSSEF Caroline 18% 38% 30% 12% 2% - -
69 XU Jessica - 11% 35% 37% 15% 2%
70 GOPINATH Tanishca 1% 6% 23% 37% 26% 7%
71 LEE Emily 2% 30% 42% 21% 4% -
72 JIANG Xinchen 16% 36% 32% 14% 3% - -
73 GITI Aria 3% 16% 34% 31% 13% 2% -
74 COX Allison 1% 7% 23% 35% 26% 8% 1%
75 SUN Karolyn 1% 7% 23% 35% 25% 8% 1%
76 LEE Emma 23% 42% 26% 7% 1% - -
77 SIDDABATHUNI ananya 28% 41% 24% 7% 1% - -
78 YANG Arianna 39% 45% 14% 1% - - -
79 PENTAKOTA Amrutha 29% 46% 20% 4% - -
80 JAIN Prisha 2% 18% 45% 28% 7% 1% -
81 ZHANG Rose 1% 9% 27% 36% 22% 5% -
82 ZHANG Helen 32% 53% 14% 1% - - -
83 ALI Zoya 34% 41% 19% 5% 1% - -
84 LI Chelsea 31% 41% 22% 5% 1% - -
85 LEE Valerie 14% 37% 34% 13% 2% - -
86 TISHKOVA-ROBERTS Daria 17% 37% 31% 12% 2% - -
87 KURUPATH Durga 24% 41% 26% 8% 1% - -
88 LEE Grace 6% 26% 37% 24% 7% 1% -
89 LEE Alyssa 12% 41% 34% 11% 2% -
90 GILLIS-PADE Neallie 7% 25% 36% 24% 7% 1% -
91 ZOLNIKOV Alina 36% 49% 14% 1% - -
92 COHEN Shaina 13% 36% 34% 14% 3% - -
93 NAZARENKO Sasha 87% 13% 1% - - -
94 CHATURVEDI Naisha 3% 19% 42% 28% 7% 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.