Capitol Clash SYC/RCC

Y-14 Women's Foil

Sunday, January 15, 2023 at 8:00 AM

Gaylord National Resort and Convention Center - National Harbor, DC, 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 CALISE Ella - - - - 4% 26% 70%
2 LIN Zhi tong - - - - 5% 32% 63%
3 WANG Jasmine - - - 5% 23% 45% 27%
3 SHEN Emilia - - 1% 6% 26% 43% 25%
5 AMR HOSSNY Sara - - - - 1% 19% 79%
6 YURKOVA Mariia - - - 4% 22% 44% 30%
7 SONG Yuqiao Aprille - - - - 4% 30% 66%
8 SHENG Chuxi - - 1% 7% 26% 42% 23%
9 WANG Zoie Z. - - - 1% 7% 35% 57%
10 SHMAY Anastasia - 1% 6% 21% 35% 28% 9%
11 ZHENG Julie - - - 2% 13% 39% 45%
12 SUN Chloe - - 1% 8% 26% 41% 24%
13 BROWN Lola - 1% 6% 25% 42% 23% 3%
14 BORGES Valeryn - - 1% 7% 26% 44% 23%
15 CHO Emily (Euran) - - 1% 9% 30% 42% 18%
16 KUMAMOTO Shino - - 2% 14% 39% 40% 5%
17 WANG CAROL - 1% 10% 28% 38% 20% 2%
18 PEVZNER Nicole - - - 4% 22% 45% 30%
19 LAI Sophia - - 1% 8% 30% 43% 19%
19 FENG Grace - - 1% 10% 36% 42% 10%
21 DAVIS Logan - 1% 6% 20% 35% 29% 9%
22 ZELDIN Nadia 1% 9% 33% 40% 15% 2% -
23 WANG Amabel - - 1% 11% 35% 39% 13%
24 HARRIS Julia - 2% 11% 32% 40% 15% 1%
25 DAI Zizhuo (Zizi) - - 1% 7% 26% 43% 23%
26 YANG Emma - - 2% 13% 38% 40% 7%
27 LI Sophia M. - - - - 7% 36% 57%
28 FIELD Julianna - 2% 14% 34% 34% 14% 2%
29 BIODROWICZ Julia - - - 5% 25% 44% 25%
30 LIU Enjia sherry - 1% 8% 28% 38% 21% 4%
31 WANG Sophia - 5% 23% 41% 25% 5% -
32 ZHANG Soleil C. - - 2% 11% 32% 39% 16%
33 MCSHERRY Ava - - 2% 11% 31% 40% 16%
34 REN Kayley - - - 5% 23% 45% 26%
35 SWANSON Alexa - - 1% 11% 35% 43% 10%
36 WANG Joanna - 3% 15% 34% 33% 13% 2%
37 YU Jane - 5% 23% 41% 25% 6% -
38 GAO Anne - 2% 15% 36% 35% 11% 1%
39 LI Eleanor - 1% 7% 24% 39% 24% 5%
40 JOO Natalie - 3% 14% 32% 34% 15% 2%
41 KAPRAN Anastasia - - 2% 13% 37% 37% 11%
42 COLLINS Anna 1% 6% 21% 35% 28% 9% 1%
43 FIELD Elizabeth - - 2% 14% 35% 36% 12%
44 VIJAYAKUMAR Diya 1% 8% 27% 37% 22% 5% -
45 DENG Melissa - - 3% 17% 39% 34% 7%
46 HAFEZ Tahiyah - - 4% 20% 38% 30% 8%
47 BING Charlotte 8% 29% 35% 21% 6% 1% -
48 LI Han (Helina) 1% 7% 25% 38% 24% 6% 1%
49 DONG Angela 1% 12% 34% 37% 14% 2% -
50 LI Katerina 8% 32% 38% 18% 4% - -
51 PAULUS Sloane E. - 1% 6% 21% 35% 28% 8%
52 SHENG Katherine 3% 17% 34% 30% 13% 2% -
53 TANG Melody Fujiao - 4% 18% 36% 30% 10% 1%
54 TSIMIKLIS Aphrodite - 2% 12% 33% 37% 15% 2%
55 LEE emily - 3% 16% 32% 33% 14% 2%
56 MAGALLANES GABRIELA - 1% 9% 31% 39% 18% 2%
57 MAJID Inaaya - 5% 22% 39% 26% 7% 1%
58 WANG DINA C. 1% 6% 26% 41% 21% 4% -
59 BURGESS Logan 3% 21% 40% 27% 8% 1% -
59 DIMATULAC Elise Ann 9% 33% 39% 17% 3% - -
61 SHMUKLER Maria - 5% 22% 40% 27% 6% -
62 HU Jenna 1% 9% 26% 35% 22% 6% 1%
63 XIE Lillian - - 3% 18% 40% 31% 8%
64 MA Isabelle 15% 39% 32% 11% 2% - -
65 LICHTENSTEIGER Megan 2% 13% 30% 33% 17% 4% -
66 CHERNYKH Elina - 4% 17% 35% 32% 11% 1%
67 FENG Audrey 7% 26% 37% 23% 6% 1% -
68 SELSER Ella - 2% 13% 33% 37% 14% 1%
69 RIEGERT-JOHNSON Simone 2% 15% 35% 33% 13% 2% -
70 DESERANNO Seren 2% 18% 38% 30% 9% 1% -
71 HUSSIAN Annabelle 18% 42% 30% 9% 1% - -
72 LIN Yunong 3% 28% 42% 22% 5% - -
73 CHEN Sophie 8% 33% 38% 17% 3% - -
73 SHTEPA Rada 16% 43% 32% 8% 1% - -
75 ARMSTRONG Olivia 1% 8% 28% 38% 21% 4% -
76 CAO Kayla 2% 17% 38% 31% 10% 1% -
77 TAMIR Esu 6% 25% 37% 24% 7% 1% -
78 AADHI Hansika 2% 15% 38% 33% 11% 1% -
79 LI Savannah 26% 44% 25% 5% - - -
80 KIM Claire 21% 40% 28% 9% 2% - -
81 LI Xiang (Shining) 40% 43% 15% 2% - - -
82 JIANG Chloe 3% 19% 36% 29% 11% 2% -
83 ORRINGER Lottie 11% 33% 35% 17% 4% - -
84 LEE Allison 74% 23% 3% - - - -
85 SNYDERS Evelyn 27% 43% 23% 5% 1% - -
86 TEPMAN Alexandra D. 5% 24% 38% 25% 7% 1% -
87 KATS Ekaterina 16% 37% 32% 12% 2% - -
88 CHIANG Mila 8% 31% 40% 18% 3% - -
89 IQBAL Mariam 9% 32% 37% 18% 4% - -
90 CAVANAGH Emma 19% 45% 28% 7% 1% - -
91 KOSCIK-AQUINO Emily 1% 12% 34% 37% 15% 2% -
92 WANG Selina 49% 40% 10% 1% - - -
93 TAN Dorathy 14% 35% 33% 14% 3% - -
94 TAYLOR-OSBORN Nadia 30% 42% 22% 5% 1% - -
95 CAMPBELL June 4% 22% 38% 27% 8% 1% -
96 MCFARLANE Asha 10% 35% 37% 15% 3% - -
97 CANO Sofia 42% 42% 14% 2% - - -
97 SHEBL Nadia 24% 43% 26% 7% 1% - -
99 CULLIVAN Sienna < 1% 3% 15% 31% 32% 15% 3%
99 KIM Sophia 16% 43% 31% 9% 1% - -
101 QUINTERO Camila 19% 42% 30% 8% 1% - -
102 KATS Elizaveta 39% 44% 15% 2% - - -
102 FEDER Acadia 15% 42% 32% 10% 1% - -
104 ZHANG Zoey 47% 40% 12% 2% - - -
105 BERGMANN Beatrix 5% 23% 36% 25% 9% 1% -
106 LEE Emma 30% 44% 22% 4% - - -
107 BARCZAK Rebekah 1% 22% 42% 27% 7% 1% -
108 DARPINO Chloe 10% 36% 37% 15% 2% - -
109 MORSE Katherine 34% 43% 19% 3% - - -
109 ORBE-AUSTIN Nia 4% 36% 40% 17% 3% - -
111 MOON Eleni 7% 28% 36% 21% 6% 1% -
112 MOORE Addisyn 7% 27% 38% 23% 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.