Capitol Clash SYC/RCC & Y8

Y-14 Women's Foil

Sunday, January 19, 2025 at 12:30 PM

Gaylord National Resort and Convention Center - National Harbor, MD, 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 WANG Carol - - - - 1% 20% 79%
2 DENG Melissa - - - - 14% 85%
3 WANG Amabel - - - 2% 12% 40% 46%
3 KRAHE Annika - - - 5% 29% 46% 20%
5 BING Charlotte - - - 1% 15% 45% 39%
6 WANG Joanna - - - - 1% 12% 88%
7 LI Savannah - - - 14% 44% 35% 6%
8 EYER Brooke - - 1% 10% 37% 41% 11%
9 PARK Lina - - - - 1% 17% 82%
10 PEVZNER Nicole - - - - 1% 14% 86%
11 MCFARLANE Asha - - - 5% 35% 60%
12 HARRIS Julia - - - 3% 16% 41% 40%
13 ORRINGER Lottie - - 2% 13% 39% 41% 5%
14 PARK Zena - - - 2% 19% 46% 32%
15 PUTHOFF Olivia - - 3% 14% 33% 36% 14%
16 FENG Audrey - - - 1% 6% 31% 63%
17 LI Joy - - 1% 5% 21% 42% 32%
18 FIELD Elizabeth - - - 2% 14% 40% 43%
19 TSIMIKLIS Aphrodite - - - 1% 12% 42% 46%
20 MUMMANENI Samyuta - - 2% 12% 40% 46%
21 XIE Lillian - - - 1% 16% 52% 31%
22 NWODO Naila 1% 7% 25% 37% 24% 7% 1%
23 BYK Karalina - 2% 12% 31% 35% 17% 3%
24 PAN Yiran - 1% 9% 31% 41% 18% 1%
25 YANG Hanli 1% 10% 32% 37% 17% 3% -
26 YACOBUCCI Nadia - - 1% 7% 33% 59%
27 YIN Chloe - - 4% 24% 53% 18%
28 LAI Miranda - - 3% 16% 35% 35% 11%
29 WANG Dina C. - - 2% 13% 36% 38% 11%
30 DIMATULAC Elise Ann - - - 1% 10% 39% 50%
31 LEE Jeemin - 1% 9% 27% 37% 22% 4%
32 MAGALLANES GABRIELA - - 2% 13% 34% 39% 11%
33 BROWN Lola - - - 1% 9% 39% 51%
34 DE CASTRO Kai - 1% 9% 30% 40% 18% 2%
35 CHAN Jolene 3% 15% 31% 31% 16% 4% -
36 BAULIN Zoya 3% 15% 34% 33% 14% 1%
37 WATSON Evelyn - 1% 5% 19% 37% 31% 7%
38 HUANG Natalie - - 2% 31% 46% 19% 2%
39 SHIN Elizabeth - - 3% 19% 42% 32% 3%
40 CHUNG Stella 1% 9% 33% 41% 14% 2% -
41 BO Iris - - 5% 25% 43% 25% 1%
42 TELEB Farida - 5% 17% 32% 31% 13% 1%
43 YUAN Aiting - 4% 16% 33% 31% 13% 2%
44 HSIAO Ariya - 2% 12% 33% 39% 14% 1%
45 LEO Jenna - 6% 22% 36% 27% 9% 1%
46 EPSTEIN Naomi - 6% 22% 37% 27% 8% 1%
47 LI Christina - 4% 17% 35% 32% 11% -
48 SHEN Gloria 1% 7% 23% 35% 25% 8% 1%
49 LIN Yunong - - 2% 13% 41% 36% 8%
50 LI Alice - - 1% 8% 27% 41% 22%
51 YU Sophie 1% 7% 24% 37% 25% 7% 1%
52 XU-FERGUSON Victoria - 5% 27% 41% 23% 4% -
53 ZHANG Selina 8% 35% 37% 16% 3% - -
54 YANG Olivia 1% 9% 31% 38% 18% 3% -
55 FEDER Acadia 4% 22% 37% 27% 9% 1% -
56 MALIK Manha - 2% 14% 37% 35% 11% -
57 RAFFAELE Nancy 8% 28% 36% 21% 6% 1% -
58 COLE Sofia 2% 16% 42% 33% 7% -
59 WANG Joann 1% 10% 32% 37% 16% 3% -
60 SMOLICH Emily 5% 22% 34% 27% 11% 2% -
60 CHO Olivia 1% 9% 28% 36% 21% 5% -
62 KIM Sophia 5% 30% 41% 20% 4% -
63 LICHTENSTEIGER Megan - 1% 6% 23% 40% 27% 2%
64 CHOI Cara 4% 19% 36% 29% 11% 1% -
65 SINGH Evangelina - 1% 8% 30% 42% 19% 1%
66 BRAVO ORTEGA Astrid - - - 6% 31% 45% 17%
67 BRADSHAW Tamira 4% 25% 41% 24% 5% < 1% -
68 JIANG Chloe - - 3% 23% 65% 9%
69 KUTATELADZE Anna 2% 14% 33% 34% 15% 2%
70 ZHU Ella 2% 13% 29% 32% 18% 5% -
71 CULLIVAN Sienna - - 2% 12% 38% 39% 9%
72 CAO Kayla - - 4% 19% 42% 29% 5%
73 ORBÉ-AUSTIN Maya - - 2% 14% 42% 34% 8%
74 DINAR Julia 5% 23% 36% 26% 9% 1% -
75 HOROWITZ Shuli - 2% 13% 36% 38% 10%
76 OLAWOYE Jadesola 2% 19% 40% 30% 9% 1%
77 ETIKALA Saanvi 14% 44% 33% 8% 1% -
78 XING Melly 1% 10% 32% 38% 17% 2%
79 PARK Hannah 2% 15% 41% 37% 6% -
80 LI Junhan - 1% 8% 26% 37% 23% 4%
81 LUO lucy 1% 10% 27% 35% 21% 6% -
82 DONG Iris - - 2% 13% 41% 35% 9%
83 REILLY Carys 5% 22% 36% 27% 9% 1% -
84 MURPHY Genevieve - 5% 20% 35% 29% 10% 1%
85 PARANJAPE Ojasvi 8% 32% 41% 17% 1% -
86 HUANG Emma 19% 39% 30% 11% 2% -
87 ZHENG Annalyn 1% 10% 32% 39% 16% 3% -
87 WU Gloria 7% 39% 40% 13% 1% - -
89 LI Doreen 9% 43% 37% 11% 1% - -
90 MACKINTOSH Quinn 6% 26% 38% 22% 6% 1% -
91 HAFEZ Sahar 5% 24% 38% 25% 7% 1% -
92 KUANG Bella 1% 9% 32% 40% 15% 2% -
93 HO Peyton 3% 15% 33% 32% 15% 3% -
94 YOUM Amelia 6% 32% 40% 19% 4% - -
95 DUVVA Sanika 14% 37% 33% 13% 2% - -
95 KHETPAL Aalia 4% 25% 44% 24% 4% - -
97 SUN Erin 18% 44% 30% 7% 1% - -
98 SHUI Zola 21% 40% 28% 9% 1% - -
99 GOITIA Genevieve - 8% 32% 42% 15% 2% -
100 HOU Xu - 6% 30% 40% 20% 3% -
101 PHAN Logan 3% 24% 44% 24% 4% - -
102 HEMPHILL Mia 6% 28% 42% 20% 3% - -
103 MUNOZ Isabella 12% 42% 39% 7% - - -
104 CHEN Emma - - 4% 19% 36% 31% 10%
105 VO Evelyn 16% 41% 34% 9% - -
106 LIU Sophia 8% 28% 37% 22% 5% -
107 CAPPIELLO Francesca 50% 40% 10% 1% - -
108 ZHU Alivia 6% 22% 34% 26% 10% 2% -
109 KIM Natalie 2% 21% 43% 27% 6% 1% -
110 ZUNIGA Sol Alejandra Flores 39% 42% 16% 3% - - -
111 CHAN Kaitlyn 12% 42% 35% 10% 1% - -
112 LU Zoe 9% 35% 38% 15% 2% - -
113 JAZWINSKI Ivy 2% 13% 31% 33% 17% 4% -
114 GUSTAFSSON Anna 24% 46% 26% 4% - - -
115 WANG Allyson 6% 27% 37% 22% 7% 1% -
115 HINDMAN Grace 29% 48% 22% 1% - - -
117 FENG Claire 2% 18% 39% 31% 9% 1% -
118 HUANG Gabrielle 17% 43% 30% 9% 1% - -
119 GENG Emma 37% 41% 17% 3% - - -
120 BENTLEY Amelia 32% 50% 16% 2% - - -
121 VENZON Makena Jane 4% 19% 36% 30% 11% 1%
122 BALIN Julia 2% 15% 41% 34% 8% -
123 LIU Joanna 39% 43% 15% 2% - - -
124 DZIWULSKI Elisabeth Claire 24% 40% 26% 8% 1% - -
124 FAN Melody 51% 38% 10% 1% - - -
126 WU Lorena 3% 15% 31% 31% 16% 3% -
127 DONG Katelyn 58% 34% 7% 1% - - -
128 SHARAIEVSKA Mariia 46% 41% 12% 1% - - -
129 PIERSIG Eleanor 31% 44% 21% 4% - - -
130 KEVREKIDIS Domnike 31% 45% 21% 3% - -
131 PAK Sophie 41% 47% 11% 1% - - -
132 JAIN Dia 62% 32% 6% - - -
133 SOMAN Indraa 21% 41% 28% 9% 1% - -
134 CHIN Riley 48% 40% 11% 1% - - -
135 GANESH Vanshi 65% 30% 4% - - - -
136 GOEL Saanvi 64% 31% 5% - - - -

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.