Capitol Clash SYC/RCC & Y8

Y-14 Women's Saber

Sunday, January 14, 2024 at 8:00 AM

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 PANTALEON-MAZOLA Amari - - 2% 12% 32% 37% 16%
2 MALEK Zolie - - - 4% 19% 41% 35%
3 BERMAN greta - - - 3% 18% 44% 35%
3 GUGALA Hanna - - - 4% 20% 45% 31%
5 JIANG Evelyn - - 1% 11% 32% 40% 16%
6 LIU Hannah - - 1% 7% 26% 43% 24%
7 LI Sonia - 2% 12% 29% 34% 18% 4%
8 FAVO Isabella - - - - 2% 21% 76%
9 FERNANDEZ Martina - - - 1% 8% 33% 58%
9 ZENG Sarah - - - 1% 7% 33% 59%
11 DANTULURI Shalini - - - 1% 10% 37% 52%
12 DHAR Layla - - 1% 6% 24% 42% 27%
12 HSU Leah - - 1% 8% 26% 41% 24%
14 CHIANG Melissa - - 1% 5% 23% 43% 28%
15 VINOKUR Anita - 1% 6% 19% 34% 30% 10%
16 MYAT Chloe - 1% 5% 20% 36% 30% 8%
17 MERCHANT Aishwarya - - 1% 8% 29% 43% 18%
18 CHAVAN Arya - - 2% 10% 28% 39% 21%
19 KURAEVA Vasilisa - - - - 6% 33% 60%
20 BUSH Bethany - 2% 10% 28% 35% 21% 4%
20 SUNG Olivia - 2% 12% 30% 37% 18% 1%
22 KWON Ava - - 2% 12% 35% 42% 10%
23 YUEN Nicole - 1% 7% 27% 40% 22% 3%
24 HU Anna - - 1% 5% 23% 46% 26%
25 MCAFEE Jada - - 5% 22% 38% 27% 7%
26 REN Katherine - 3% 14% 32% 34% 15% 1%
27 RANDALL-COLLINS Shea M. - 4% 22% 42% 27% 5%
28 WEI JoyAnn - - - 4% 18% 42% 37%
29 HAMMERSTROM Aria - - 2% 11% 32% 39% 16%
30 STADNIK Emilia - 5% 20% 35% 28% 10% 1%
31 KWON Ava 1% 11% 33% 36% 16% 3% -
32 MACKAY Katherine 2% 11% 27% 33% 21% 6% -
33 DAMBAL Sasha - - 1% 8% 27% 42% 22%
33 ZHANG Ashley 1% 6% 20% 33% 28% 11% 1%
35 LEOU Korina - - - 3% 15% 41% 41%
35 FUNG Iris - 1% 8% 25% 37% 24% 5%
37 WANG Callie - 1% 9% 28% 40% 22%
38 LOO Kaitlyn - - 2% 15% 42% 41%
39 FAN Alexandria - 1% 7% 24% 38% 25% 5%
40 LONG Jessie 1% 5% 18% 33% 30% 12% 1%
41 SHEN Emily 2% 15% 34% 32% 14% 3% -
42 GONG Joy - 2% 10% 28% 35% 20% 4%
43 CHANG Norah 2% 13% 32% 35% 16% 3% -
44 TA-ZHOU Emma - - 2% 14% 35% 36% 13%
45 LEE Alyson 1% 9% 28% 37% 21% 4%
46 YU Stella 1% 14% 41% 33% 9% 1%
47 CONG Anne 1% 6% 21% 37% 28% 8%
48 GONZALEZ Veronika - 1% 9% 25% 36% 24% 5%
49 MARAGH Farrah E. 1% 6% 20% 33% 28% 11% 1%
49 ZHU Elaine - 2% 15% 34% 34% 14% 2%
49 HEATH Isabella 13% 33% 33% 16% 4% 1% -
52 YAN Angela - 4% 22% 38% 27% 8% 1%
53 NIU Jessica 1% 8% 24% 33% 24% 8% 1%
54 BIBLER Anna 1% 13% 34% 34% 15% 3% -
55 CASTELO Soleil 2% 12% 30% 33% 18% 5% -
56 KIM Audrey 1% 8% 24% 34% 24% 8% 1%
57 KU Alathea-Joy - 2% 13% 32% 36% 15% 2%
58 CHOI Charlotte - 7% 26% 37% 23% 6% 1%
59 WONG Charlene 6% 24% 35% 25% 9% 2% -
60 CROOKS Riley - 1% 11% 36% 40% 12%
61 BLAKE Anna - - 5% 19% 37% 30% 8%
61 ZHU Avril - - 4% 20% 40% 30% 6%
63 MAO Elsa 6% 26% 38% 23% 6% 1% -
64 SEBASTIAN Ava - 5% 21% 38% 28% 8% 1%
65 BORGUETA Madison - 1% 7% 28% 39% 22% 4%
66 MERMEGAS Olivia - 3% 15% 34% 34% 12% 1%
67 NADKARNI Marisa - 5% 19% 33% 29% 12% 2%
68 SHMULER Fiona 1% 8% 25% 35% 24% 7% 1%
69 WANG JiaQi - 1% 5% 21% 38% 29% 7%
70 GUHA Surabhi 3% 17% 32% 30% 14% 3% -
71 MEYERSON Michelle 3% 17% 35% 31% 13% 2%
72 DHAR Rana - 1% 11% 33% 36% 16% 2%
72 SEVASTOPULO Sahra 2% 15% 35% 33% 13% 2% -
74 KIM Grace 1% 10% 30% 37% 19% 3% -
75 LEE Kaitlin 1% 6% 26% 39% 23% 5% -
76 FABRICANT Kioka R. - 5% 22% 37% 26% 8% 1%
77 AWAD Royce - 1% 5% 18% 36% 32% 10%
78 YU Skylar 1% 11% 31% 35% 18% 4% -
79 YE Isabella - 4% 16% 31% 31% 15% 3%
80 HUANG Neila 1% 8% 24% 35% 24% 7% 1%
80 CHERON Helene 2% 12% 29% 33% 19% 5% -
82 HU Heidi 1% 9% 27% 35% 21% 6% 1%
83 PALMIERI Giuliana M. 1% 11% 31% 36% 17% 3% -
84 SEO Kaitlyn 3% 25% 39% 25% 7% 1% -
85 LAI Karen 10% 47% 33% 8% 1% -
86 WANG Keira 24% 47% 24% 5% - - -
87 CHOWDHERY Myra 3% 20% 37% 29% 10% 1% -
88 LIU Chelsea 5% 33% 41% 17% 3% - -
89 FLEEGER Sophia 29% 41% 23% 6% 1% - -
90 OSMINKINA-JONES Kai 5% 22% 34% 26% 10% 2% -
91 ALMEDA Galina 3% 17% 34% 31% 13% 2% -
92 ZHAO Selena 44% 43% 12% 1% - - -
93 NAKATA Gwyneth 25% 44% 24% 6% 1% - -
94 MCCARTHY Nora Louisa Abrous 18% 38% 30% 11% 2% - -
95 LI Tiffany - 6% 27% 38% 22% 5% -
96 PITRUN Viktorie 11% 33% 35% 17% 4% - -
97 VISWANATHAN Nishka 28% 42% 23% 6% 1% -
98 IANNUZZI Lucy 8% 29% 37% 21% 5% 1%
99 GENTILE Vittoria 2% 12% 28% 33% 19% 5% 1%
100 ELLINGWOOD Sophia 24% 43% 26% 7% 1% - -
101 KIM Grace 10% 42% 35% 11% 2% - -
102 PARK Haylie 1% 12% 33% 35% 16% 3% -
103 MAO anna 7% 27% 35% 22% 7% 1% -
104 XU Elaine 1% 10% 33% 36% 16% 3% -
105 ZONG Eliane 5% 24% 38% 25% 7% 1% -
106 PARKER Mrinali 57% 35% 7% 1% - - -
107 WANG Emily 3% 17% 34% 31% 13% 2% -
107 WANG MONA 7% 26% 36% 23% 7% 1% -
109 HILD Anya 4% 22% 36% 27% 10% 2% -
110 LAFFY Lily 4% 24% 38% 25% 8% 1% -
110 FANG Elena 71% 25% 3% - - - -
112 TA-ZHOU Sophia 5% 22% 34% 27% 10% 2% -
112 WILFRET Katerina 20% 47% 27% 6% 1% - -
114 WANG Selina 47% 39% 12% 2% - - -
115 HUANG Pierra 27% 42% 24% 6% 1% - -
116 YE Madeleine 5% 25% 39% 24% 7% 1% -
117 CONVERSO-PARSONS Maia 53% 37% 9% 1% - - -
118 MUTHAPPAN Sahana 4% 19% 33% 29% 13% 2% -
119 ZHANG Allison 2% 16% 35% 32% 12% 2% -
120 LIANG Claire 6% 26% 36% 23% 7% 1% -
121 LIAO Amber 26% 45% 23% 5% 1% - -
122 SMITH Genevieve 65% 30% 5% - - - -
123 ENG Madeleine 13% 36% 34% 14% 3% - -
124 HO Sophia 10% 29% 34% 21% 6% 1% -
125 FANG Darcy 66% 29% 4% - - -
126 GALLAGHER Isabella 4% 29% 42% 20% 4% - -
127 MANSPERGER Gia 5% 22% 34% 27% 10% 2% -
128 BARNES Sarah 11% 31% 34% 19% 5% 1% -
129 STEVENS Sabine 4% 20% 36% 29% 11% 1% -
130 CLAIANU Adriana 31% 42% 21% 5% - - -
131 IORDANOVA Vela 26% 43% 24% 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.