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Division 1/Parafencing National Championships + April NAC

Div I Women's Foil

Thursday, April 25, 2024 at 1:30 PM

Salt Palace Convention Center - Salt Lake City, UT, 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 DEVORE Delphine P. - - - 1% 5% 29% 65%
2 RHODES Zander - - - - 4% 29% 67%
3 JING Emily - - - 2% 16% 43% 39%
3 NISSINOFF Alexandra 1% 7% 26% 38% 22% 5% -
5 FEDELI Caterina S. - - 2% 12% 33% 38% 15%
6 CHO Rebecca H. - 3% 16% 36% 35% 10%
7 GEBALA Gabrielle Grace A. - - 1% 7% 26% 44% 23%
8 LEE Alina - - - 3% 17% 42% 38%
9 SUN Ruoxi 2% 11% 28% 33% 20% 5% < 1%
10 SHEN Lydia - - 5% 21% 37% 29% 8%
11 LIU Joy Zhaoyi - 1% 9% 28% 37% 21% 4%
12 CHEN Jia P. - - 2% 12% 34% 39% 13%
13 KIM Katherine - - 2% 13% 37% 37% 11%
14 LUNG Katerina - - - 2% 13% 39% 46%
15 CONWAY Josephina (JoJo) J. - - 1% 8% 28% 41% 21%
16 KONG Chin-Yi - - 5% 21% 40% 28% 6%
17 GRIFFIN Emma G. - - 4% 20% 40% 30% 4%
18 LIU Jaelyn A. - - 2% 12% 33% 38% 16%
19 KOENIG Charlotte R. - - 1% 7% 26% 41% 25%
20 LEE Lavender - 1% 6% 22% 38% 28% 6%
21 CHOW Annabelle 2% 11% 29% 35% 19% 4% -
22 KIM Rachel 2% 12% 31% 35% 17% 4% -
23 PARTRIDGE Morgan K. - - - 2% 16% 42% 39%
23 SERBAN Samantha M. - 1% 9% 30% 37% 19% 4%
25 WANDJI Anais 5% 21% 34% 27% 11% 2% -
26 CHUSID Mikayla - - 2% 12% 32% 38% 15%
27 PEVZNER Victoria - - 4% 18% 41% 37%
28 FUNG Emma 5% 22% 36% 27% 9% 1%
29 ORVANANOS Anice 1% 11% 32% 37% 16% 3% -
30 ZHANG Alina C. - 2% 15% 35% 34% 13% 2%
31 TAN Kaitlyn N. - - 1% 6% 24% 43% 26%
32 SHENG Chuxi 6% 25% 37% 24% 7% 1% -
33 NOTT Adrienne (Adi) M. - - - 2% 15% 42% 41%
34 EYER Hailey M. - - 3% 17% 42% 38%
35 SHEN Emilia 2% 14% 32% 34% 15% 2%
36 BREKER Anika - - 4% 18% 38% 32% 8%
37 LUO Sandra J. - 4% 18% 35% 30% 11% 1%
38 SHIM Grace J. 8% 27% 35% 22% 7% 1% -
39 PARK Rowan M. - 2% 11% 33% 38% 15% 1%
40 MI Aileen 1% 9% 30% 36% 19% 5% -
41 OH Ceana 7% 27% 36% 23% 7% 1% -
42 CHEN Chloe I. 1% 11% 30% 37% 18% 3%
43 KLINE Melissa C. 1% 7% 21% 33% 27% 10% 1%
44 SEO IRENE Y. - 3% 16% 34% 32% 13% 2%
45 CASTANEDA Erika L. - - 4% 19% 40% 31% 7%
46 SUN Chloe 4% 22% 40% 26% 7% 1% -
47 YANG Audrey 12% 39% 35% 12% 2% - -
48 GALAVOTTI Claire Teresa - 1% 9% 28% 37% 21% 4%
49 SOOD Ishani S. - 3% 17% 36% 32% 11% 1%
50 JANG Kimberley - 4% 15% 31% 32% 15% 2%
51 GOOR Viviene E. 4% 17% 32% 30% 15% 3% -
52 FENG Grace 9% 31% 37% 18% 4% -
53 CHEN Renee 1% 9% 26% 37% 23% 5%
54 DAI Zizhuo (Zizi) 7% 26% 37% 24% 7% 1%
55 ZHAO Sophie L. 1% 8% 23% 34% 25% 9% 1%
56 YANG Iris 1% 6% 22% 36% 26% 9% 1%
57 LI Eleanor 8% 31% 39% 18% 4% - -
58 YANG Emma 18% 40% 30% 10% 2% - -
59 CHEN Allison V. - 1% 6% 24% 38% 25% 6%
60 DAVIS Bonnie Z. 1% 8% 24% 34% 24% 8% 1%
61 CASTANEDA Keira 14% 37% 33% 13% 2% - -
62 MEI Sarah 7% 27% 37% 22% 6% 1% -
63 HO Brianna W. - 2% 14% 35% 34% 13% 1%
64 RANDOLPH Piper 3% 14% 30% 32% 17% 4% -
65 HSU Kaylin 5% 25% 39% 24% 6% 1% -
66 DENG Melissa 8% 31% 38% 19% 4% - -
67 OUYANG Bridgette Z. - 1% 5% 21% 38% 29% 7%
67 PEVZNER Nicole 8% 29% 37% 21% 5% 1% -
69 ZHANG Eunice 13% 38% 35% 12% 2% - -
70 LAI Sophia 7% 26% 35% 23% 8% 1% -
71 RENTON Samantha 5% 20% 33% 28% 12% 2% -
72 ROY Layla 25% 43% 26% 6% 1% - -
73 ZHOU Catherine 18% 41% 30% 9% 1% - -
74 STRUGAR Steliana 19% 39% 30% 11% 2% -
75 SHA Yi Ling 24% 42% 26% 7% 1% -
76 FUNG Vera 8% 30% 39% 19% 4% - -
77 ROZPEDOWSKI Claire 15% 40% 33% 11% 2% - -
78 SAIFEE Lamya 11% 34% 36% 16% 3% - -
79 SWANSON Alexa 26% 43% 24% 6% 1% - -
80 SHMAY Anastasia 7% 26% 36% 23% 7% 1% -
81 LEE Allison 42% 42% 14% 2% - - -
82 YU Jane 51% 38% 9% 1% - - -
83 CHANG Elizabeth 26% 42% 25% 7% 1% - -
84 MANIKTALA Prisha 12% 42% 33% 11% 2% - -
85 ASCHETTINO Aurora 7% 28% 38% 21% 5% -
86 COOPER Piper W. 22% 42% 28% 7% 1% - -
87 CHO Emily (Euran) 6% 22% 34% 26% 10% 2% -
88 RAO Sonia D. 19% 39% 29% 10% 2% - -
89 VO Bao-Vy 34% 44% 19% 3% - - -

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.