December SJCC + Division 1 NAC

Cadet Women's Foil

Monday, December 4, 2023 at 8:00 AM

Richmond, VA, 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 HAYES Nadia - - - 1% 6% 32% 61%
2 DOROSHKEVICH Taisiia - - - 4% 19% 42% 34%
3 CALISE Ella - - 1% 6% 22% 41% 30%
3 CHEN Renee - - 4% 20% 43% 34%
5 CHEN Chloe I. - - 1% 8% 36% 55%
6 SONG Yuqiao Aprille - - - 3% 16% 42% 38%
7 YANG Iris - - - 1% 9% 36% 54%
8 FENG Grace - 3% 17% 37% 33% 9%
9 DAI Zizhuo (Zizi) - - 5% 21% 38% 28% 7%
10 SAIFEE Lamya - 1% 7% 27% 39% 22% 4%
11 HSU Kaylin - 2% 11% 29% 36% 19% 3%
12 CHO Emily (Euran) - - 1% 9% 29% 41% 20%
13 SHMAY Anastasia - - 5% 19% 37% 31% 8%
14 COOPER Piper W. - 2% 10% 30% 39% 18%
15 BIODROWICZ Julia - - 2% 11% 32% 40% 16%
16 YANG Audrey - 2% 14% 36% 34% 13% 2%
17 WANG SIQI - 1% 13% 34% 34% 15% 2%
18 LIN Zhi Tong - - - 5% 23% 44% 28%
19 DAVIS Bonnie Z. - - - 3% 16% 41% 40%
20 CASTANEDA Keira - - 4% 19% 37% 31% 9%
20 CHANG Elizabeth - 1% 10% 29% 37% 20% 3%
22 WANG Yudi 2% 22% 41% 28% 7% -
23 MANIKTALA Prisha - - 4% 18% 36% 32% 10%
24 YANG Emma - 1% 7% 27% 38% 22% 5%
25 LUO Ziyue - - - 1% 11% 38% 50%
26 TANG Melody Fujiao 6% 24% 36% 25% 8% 1% -
27 LAI Sophia - - 4% 19% 39% 32% 6%
28 MU Allison - 2% 15% 38% 37% 8%
29 ROZPEDOWSKI Claire - 2% 13% 32% 34% 16% 2%
30 LI Sophia M. - - 2% 11% 31% 39% 18%
31 VO Bao-Vy 1% 10% 29% 36% 20% 4% -
32 DENG Melissa - 2% 13% 32% 35% 16% 2%
33 PEVZNER Nicole - 1% 8% 25% 38% 24% 4%
34 CHOW Annabelle - - 3% 17% 36% 33% 11%
35 HO Addison - 1% 6% 25% 40% 24% 5%
36 WANG Joanna - 2% 14% 33% 34% 15% 2%
37 CASCONE Emily - - 2% 11% 32% 39% 16%
38 LI Eleanor - 1% 9% 26% 38% 23% 4%
39 MCSHERRY Ava - 2% 13% 32% 37% 15%
40 PAULUS Isabella 5% 23% 37% 26% 8% 1%
41 LENK Sophie - 7% 33% 37% 18% 4% -
42 YU Jane 5% 26% 41% 22% 5% 1% -
43 ZHANG Eunice - 1% 10% 31% 36% 18% 3%
44 BASILE Gianna 9% 34% 36% 17% 4% - -
45 ZELDIN Nadia 5% 26% 39% 24% 6% 1%
46 KO Claire 2% 15% 35% 34% 14% 2%
47 SWANSON Alexa 2% 15% 35% 33% 13% 2%
48 LIU Angel(Daying) - - 2% 14% 34% 36% 14%
49 SHA Yi Ling - 3% 14% 30% 33% 17% 3%
50 WANG Jasmine - 5% 20% 36% 29% 9% 1%
51 HU Felice 1% 8% 26% 36% 22% 6% -
51 HAO Danica - 4% 17% 34% 32% 12% 1%
53 WANG Sabrina - 5% 21% 38% 27% 8% 1%
54 PAULUS Sloane E. - 1% 10% 31% 36% 18% 3%
55 ZHANG Ivy 1% 9% 28% 36% 20% 5% -
56 ZHANG Selena 2% 12% 30% 35% 18% 3%
57 ZHENG Julie - - 3% 17% 37% 34% 9%
58 YAN Noelle 1% 9% 28% 36% 21% 5% -
59 WANG CAROL 1% 8% 24% 34% 24% 8% 1%
60 HAFEZ Tahiyah - 8% 32% 37% 18% 4% -
61 LIU Long 14% 40% 33% 11% 2% - -
62 CUI alivia 13% 35% 34% 15% 3% -
63 WANG Sophia 16% 37% 32% 13% 2% -
64 VIJAYAKUMAR Diya 45% 40% 13% 2% - -
65 WANG Chloe - 5% 22% 37% 27% 8% 1%
66 LEVY Avery 1% 10% 28% 35% 20% 5% -
67 LEVESQUE Brielle 17% 36% 31% 13% 3% - -
68 DONG Angela 7% 26% 35% 23% 8% 1% -
69 BERGEL Daphne 10% 34% 37% 16% 3% - -
70 LI Han (Helina) 1% 17% 39% 32% 10% 1%
71 ROY Layla - 5% 17% 32% 30% 13% 2%
72 HOBSON Ava - 4% 22% 37% 27% 8% 1%
73 CHENG Isa 22% 45% 27% 6% 1% - -
74 HARRIS Julia 7% 27% 36% 22% 6% 1% -
75 OWENS Elise 5% 25% 41% 23% 6% 1% -
76 KIM Sydney 7% 31% 39% 19% 4% - -
77 REN Kayley 2% 13% 30% 32% 17% 5% -
78 KATS Ekaterina 42% 42% 14% 2% - - -
79 MCDERMOTT Catherine 72% 25% 3% - - -
80 OH Ceana 1% 10% 28% 35% 20% 5% -
81 LIU Elinda 20% 44% 28% 7% 1% - -
82 CHEN Sophie 19% 54% 23% 4% - - -
83 GUO Audrey 25% 42% 25% 7% 1% - -
84 CAMPBELL June 40% 41% 16% 3% - - -
85 DONG Emily 10% 44% 34% 11% 2% - -
86 TSE Isabel 74% 24% 2% - - - -
87 ARMSTRONG Olivia 27% 45% 23% 5% - - -
88 MARTIRE Alessandra 15% 38% 32% 12% 2% - -
89 SHMUKLER Maria 1% 16% 38% 34% 10% 1%
90 FENG Audrey 21% 40% 28% 9% 2% - -
90 CHANG Janelle 60% 35% 5% - - - -
92 SNYDERS Evelyn 32% 45% 19% 3% - - -
93 LAWRENCE Nia 36% 43% 18% 3% - - -
94 HOOGSTRA Lucy 10% 53% 30% 6% 1% - -
95 CHAKRAPANI Ila 67% 29% 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.