Capitol Clash SYC/RCC & Y8

Y-12 Women's Saber

Saturday, January 13, 2024 at 3:30 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 LEOU Korina - - - - 3% 26% 71%
2 JIANG Evelyn - - - 3% 15% 40% 42%
3 MEYERSON Michelle - - 2% 12% 31% 38% 17%
3 CONG Anne - - - 4% 20% 44% 32%
5 ZHU Avril - - 3% 13% 32% 36% 16%
6 KU Alathea-Joy - - 1% 7% 24% 41% 26%
7 HU Heidi - 1% 6% 22% 37% 27% 6%
8 SUNG Olivia - - 3% 15% 33% 35% 14%
9 WANG JiaQi - - 1% 7% 24% 40% 27%
10 NANDA Maanika - 1% 9% 25% 36% 23% 6%
11 GONZALEZ Veronika - - - 1% 9% 36% 55%
12 FAN Alexandria - - 4% 16% 33% 34% 13%
13 YAN Angela - 1% 9% 26% 37% 23% 4%
14 CASTELO Soleil - - 2% 11% 33% 40% 15%
15 YU Stella - 1% 9% 26% 36% 22% 5%
16 ZHU Elaine - - 1% 5% 21% 43% 30%
17 XU Elaine - 1% 9% 25% 36% 24% 6%
18 KIM Grace - 4% 19% 35% 29% 10% 1%
19 YE Isabella - - 3% 13% 32% 37% 15%
20 NIU Jessica - - 4% 21% 41% 30% 3%
21 YU Skylar - - 1% 7% 26% 44% 21%
22 NEMORIN Rei - - 2% 12% 34% 39% 14%
23 HILD Anya - 4% 16% 31% 31% 15% 3%
24 DHAR Rana - 1% 12% 37% 36% 12% 1%
25 CHOI Charlotte - - 1% 9% 29% 42% 18%
26 GONG Joy - - 2% 11% 30% 38% 18%
27 LEE Kaitlin - 3% 14% 31% 33% 16% 3%
28 FUNG Iris - - 1% 6% 23% 41% 29%
29 CHERON Helene - 1% 7% 25% 38% 25% 5%
30 YUEN Nicole - - 1% 8% 26% 40% 24%
31 YOUNG Sienna 2% 13% 31% 32% 17% 4% -
32 LONG Jessie - 2% 9% 25% 35% 23% 6%
33 ZHANG Ashley - - - 3% 18% 44% 34%
34 PARK Haylie - 3% 13% 31% 34% 16% 3%
35 PATEL Maia - 2% 13% 33% 35% 15% 2%
35 REN Katherine - 4% 15% 30% 31% 17% 3%
37 KAUL Tara - 2% 9% 25% 35% 23% 6%
38 LIU Chelsea 3% 19% 36% 29% 11% 2% -
39 LONG Chloe - - 3% 20% 42% 31% 4%
40 MUTHAPPAN Sahana - 3% 14% 30% 33% 17% 3%
41 CHOWDHERY Myra - 1% 10% 31% 39% 17% 1%
42 ESTEVES ZOE 3% 18% 34% 30% 13% 3% -
43 LIANG Claire - 1% 5% 19% 37% 31% 6%
43 HARRIS Maya Hué 1% 6% 21% 35% 27% 9% 1%
45 TA-ZHOU Sophia - 3% 14% 33% 33% 14% 2%
46 PEREIRA Izumi 2% 13% 31% 33% 16% 3% -
47 OSMINKINA-JONES Kai - 2% 10% 27% 36% 21% 4%
48 HUANG Pierra 8% 27% 35% 22% 7% 1% -
49 LAI Karen 6% 24% 36% 24% 8% 1% -
50 BALLOU-AARES Kaia 2% 19% 43% 28% 7% 1% -
51 KWON Ava - - 1% 5% 20% 42% 33%
52 GALLAGHER Isabella 4% 19% 34% 29% 12% 2% -
53 WANG Emily - 3% 15% 34% 33% 13% 2%
54 LI Tiffany - 1% 8% 24% 36% 24% 6%
55 ELLINGWOOD Sophia 2% 13% 30% 33% 17% 4% -
56 WANG MONA 4% 19% 34% 29% 12% 2% -
57 SEO Kaitlyn 1% 7% 21% 33% 27% 11% 2%
58 MCCARTHY Nora Louisa Abrous 5% 23% 36% 26% 9% 2% -
59 ZONG Eliane 3% 17% 33% 30% 14% 3% -
60 ZHANG Audrey 1% 10% 28% 34% 21% 6% 1%
61 YANG Felicia 6% 23% 34% 25% 10% 2% -
62 IORDANOVA Vela - 1% 6% 27% 47% 18% 2%
63 WEI Levana 1% 10% 27% 35% 21% 5% -
64 KANIA Brigitte 1% 9% 28% 36% 20% 5% -
65 VUDTHITHAMRONG Vivienne 1% 9% 27% 35% 21% 6% 1%
66 PINES Kinsey 4% 32% 41% 19% 4% - -
67 CLAIANU Adriana 23% 44% 26% 6% 1% - -
68 POWERS Waverly 1% 11% 29% 34% 19% 5% -
69 MAJEWSKA Maria 2% 11% 28% 33% 20% 6% 1%
70 SAGER Bianca 6% 25% 36% 24% 7% 1% -
71 RUSMEVICHIENTONG Lyla - 1% 9% 26% 36% 23% 6%
72 WANG Keira 12% 34% 34% 16% 4% - -
73 JOHN Sophia 7% 26% 36% 23% 7% 1% -
74 FANG Elena 21% 39% 28% 10% 2% - -
75 BANDHU Saahiti 1% 9% 26% 34% 22% 7% 1%
76 CHACKO Anne 10% 31% 35% 19% 5% 1% -
77 ARGUELLO Camilla - 2% 15% 37% 34% 11% 1%
78 HEATH Isabella 1% 8% 24% 34% 24% 8% 1%
79 CONVERSO-PARSONS Maia 16% 38% 32% 12% 2% - -
80 WANG Selina 6% 29% 37% 21% 6% 1% -
81 ZHANG Shihan 1% 8% 24% 36% 25% 7% 1%
82 LEE Elise 18% 38% 30% 11% 2% - -
83 FASSNACHT Jacqueline 32% 42% 21% 5% 1% - -
84 CHEN Chloe 14% 35% 33% 14% 3% - -
85 TSIPORUKHA Arie 9% 32% 37% 17% 4% - -
86 LAU Angela 13% 34% 34% 16% 3% - -
87 WANG Chloe 17% 38% 31% 12% 2% - -
88 BAO Amelia 7% 25% 35% 24% 8% 1% -
89 JOSEPH Azalée 1% 6% 22% 35% 26% 9% 1%
90 YAP Anna 3% 30% 46% 18% 3% - -
91 PARAISO Isabella 32% 44% 19% 4% - - -
92 ALMEDA Galina 1% 8% 25% 36% 23% 7% 1%
92 MCCABE Ashley 7% 29% 38% 20% 5% 1% -
94 CONG Catherine 2% 12% 29% 33% 18% 5% -
95 SHRESTHA Arya - 6% 24% 36% 25% 8% 1%
96 LIAO Amber 31% 41% 21% 5% 1% - -
97 ZHAO Selena 18% 41% 29% 9% 1% - -
98 AHLUWALIA Vera 13% 43% 34% 10% 1% - -
99 BENNETT Eloise 26% 41% 25% 7% 1% - -
99 ZHANG Nikki 1% 8% 24% 34% 24% 8% 1%
101 MALUKI Nia 4% 19% 34% 28% 12% 2% -
102 ZIMBRICK-ROGERS Louisa F. - 1% 6% 25% 40% 25% 3%
103 GU Allison 2% 15% 34% 32% 14% 3% -
104 KARAVAS Lucy 4% 29% 38% 21% 6% 1% -
105 LIU Adelina 57% 36% 6% - - - -
105 PIÑOL Annika 2% 18% 39% 30% 10% 2% -
107 LVOFF Penelope 3% 17% 35% 31% 12% 2% -
107 SON Ellie 66% 29% 5% - - - -
109 TABANCAY Ava 19% 41% 30% 9% 1% - -
110 SMITH Genevieve 45% 40% 13% 2% - - -
110 DIBADJ Ava 66% 29% 5% - - - -
112 JONES Lauren 2% 17% 36% 31% 12% 2% -

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.