Capitol Clash SYC/RCC & Y8

Y-14 Women's Saber

Sunday, January 19, 2025 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 WANG Yixuan - - 2% 11% 30% 38% 18%
2 IANNUZZI Lucy - 5% 27% 41% 23% 4%
3 GUGALA Hanna - - - - 5% 31% 63%
3 MACKAY Katherine - - - - 5% 31% 63%
5 CHOI Charlotte - - - 3% 18% 43% 36%
6 DAVIDOVA Kira - - 2% 17% 43% 38%
7 ZHANG Ashley - 1% 5% 21% 41% 32%
8 HEATH Isabella - 3% 17% 36% 32% 11% 1%
9 FAN Alexandria - - - 1% 9% 36% 54%
10 DHAR Rana - - 1% 8% 27% 42% 22%
11 GONG Joy - - 1% 7% 24% 41% 28%
12 OSMINKINA-JONES Kai - - 2% 13% 40% 45%
13 LIU Hannah - - 2% 13% 34% 39% 12%
14 JOHNSON Neema - 2% 17% 40% 33% 8%
15 CHANG Norah - 6% 23% 36% 26% 8% 1%
16 NG Sophia - 5% 20% 34% 28% 11% 2%
17 AWAD Royce - - 1% 10% 33% 44% 12%
18 CASTELO Soleil - - - 4% 19% 42% 34%
19 KAUL Tara - - 2% 11% 30% 39% 18%
20 GONZALEZ Veronika - - - 3% 17% 43% 38%
21 FUNG Iris - - 5% 22% 42% 30%
22 WONG Charlene - 5% 22% 38% 27% 6%
23 LEE Kaitlin - 2% 11% 34% 42% 12%
24 REN Katherine - 1% 8% 32% 42% 18%
25 HUANG Pierra - 1% 6% 23% 38% 26% 6%
26 KIM Grace 1% 9% 27% 35% 21% 6% 1%
27 CHOWDHERY Myra - - 4% 18% 38% 33% 6%
28 KIM Grace 8% 26% 35% 23% 8% 1% -
29 ZHAO Selena - - 4% 18% 38% 32% 8%
30 VUDTHITHAMRONG Vivienne 1% 9% 38% 37% 14% 2%
31 HO Sophia 3% 17% 34% 31% 13% 2%
32 LI Alicia - 2% 12% 33% 36% 15% 2%
33 LAFFY Lily - - 5% 19% 36% 30% 9%
34 CHANG Annette - 1% 6% 23% 38% 27% 7%
35 JOHN Sophia - 1% 5% 20% 39% 29% 7%
36 KATZ Emma - 1% 7% 24% 37% 25% 6%
37 NEMORIN Rei - - 1% 8% 27% 42% 21%
38 PEREIRA Izumi - 4% 19% 37% 30% 9% 1%
38 BONIN Arielle - - 3% 18% 38% 32% 8%
40 YE Isabella - - 4% 21% 41% 29% 4%
41 NADKARNI Marisa - - 1% 8% 37% 55%
42 SEVASTOPULO Sahra 1% 6% 24% 38% 25% 5%
43 GOEL Lineysha - 2% 16% 37% 32% 11% 1%
44 NIU Jessica - - 1% 7% 27% 42% 23%
45 BORGUETA Madison - 2% 12% 33% 35% 15% 2%
46 PARK Haylie - - 5% 23% 39% 27% 6%
47 BERRIOS Catalina - 1% 9% 31% 38% 18% 2%
48 DUTA Lyra - 1% 8% 25% 38% 24% 5%
48 MAJEWSKA Maria 2% 16% 40% 31% 10% 1% -
50 SEO Kaitlyn 1% 12% 30% 34% 18% 4% -
51 CHEN Victoria - 1% 12% 36% 38% 13%
52 ZHU Elaine - 1% 9% 32% 41% 18%
53 YADAV Tishya 3% 16% 34% 32% 14% 2%
54 LIANG Claire - 3% 14% 32% 34% 15% 2%
55 ILAGAN Ava - 2% 10% 26% 35% 23% 5%
56 LI Tiffany 1% 7% 25% 36% 23% 7% 1%
57 KIM Eunjae 3% 14% 31% 32% 16% 3% -
58 YOUNG Sienna 5% 22% 36% 27% 9% 1%
59 LAI Karen 1% 10% 28% 36% 21% 4%
60 REDA Sophie 1% 9% 29% 38% 20% 3%
61 XU Elaine - 4% 24% 41% 25% 5%
62 POWERS Waverly 4% 20% 38% 30% 8% 1%
63 LIU Teresa 13% 33% 33% 16% 4% - -
64 OEI Allyson 4% 19% 34% 29% 12% 2% -
65 ALFONSO-VALLEJO Cecilia 1% 8% 25% 36% 23% 6% 1%
66 HU Heidi - 1% 8% 25% 37% 25% 4%
67 WEI Madison 1% 5% 19% 34% 29% 11% 1%
68 MING Emma 1% 8% 28% 38% 21% 3%
69 HILD Anya 1% 10% 30% 37% 19% 3%
70 YANG Felicia 1% 7% 24% 36% 24% 7% 1%
71 KO Ariel - 5% 22% 37% 27% 8% -
72 ROSTHOLDER Hannah 2% 11% 30% 35% 18% 4% -
73 PHILLIPPY Hannah 11% 35% 35% 15% 3% - -
74 MCCARTHY Nora Louisa Abrous 3% 17% 36% 32% 11% 2% -
75 HAGN Luna 7% 27% 37% 22% 6% 1% -
76 CONVERSO-PARSONS Maia 10% 33% 37% 17% 3% -
77 DOROBANTU Emma 15% 37% 33% 13% 2% -
78 NAKATA Gwyneth 25% 54% 19% 2% - -
79 LEE Janice 17% 40% 31% 10% 1% -
80 BUSQUE-WANG Juliana - 1% 9% 25% 35% 24% 6%
81 OLSON Olivia - 1% 9% 29% 38% 20% 3%
82 WANG Chloe 2% 12% 32% 35% 16% 3% -
83 HARRIS Maya Hué 3% 18% 36% 30% 11% 2% -
84 YIN Xizi 8% 28% 37% 21% 5% 1% -
85 TA-ZHOU Sophia - 4% 20% 39% 29% 8% -
86 WANG Keira 4% 23% 37% 26% 9% 1% -
87 BANDHU Saahiti 2% 18% 35% 30% 12% 2% -
88 TRINH Nha-Yen 7% 32% 39% 18% 4% - -
89 FLEEGER Sophia 1% 11% 32% 36% 17% 3%
90 DEMRY Kylee 11% 34% 36% 16% 2% -
91 GOLEN Grace 27% 44% 23% 5% 1% -
92 GUO Yuexi 23% 40% 27% 9% 1% -
93 WILFRET Katerina 19% 42% 29% 9% 1% -
94 DU Jessica 48% 42% 9% 1% - -
95 FANG Darcy 25% 42% 25% 7% 1% - -
96 WANG Selina 31% 44% 21% 4% - - -
97 CANARAN Daphne M. 8% 28% 36% 22% 6% 1% -
98 IORDANOVA Vela 4% 19% 36% 29% 11% 2% -
99 LEE Jiyoung 20% 44% 28% 7% 1% - -
100 KANG Ellie 1% 5% 20% 34% 28% 10% 1%
100 CHANG Kelly 3% 28% 44% 20% 4% - -
100 GACHES RUELAS Lucia 1% 10% 28% 35% 20% 6% 1%
103 LIU Stephanie 5% 22% 36% 27% 9% 1% -
104 SOUTHWELL Mia 7% 28% 38% 21% 5% 1% -
105 MOFFITT Charlotte 14% 36% 33% 14% 3% - -
106 TOPALOV Julia 15% 40% 32% 11% 2% - -
107 AHLUWALIA Vera 14% 37% 33% 13% 2% - -
108 SAGER Bianca 25% 42% 25% 7% 1% - -
109 ARGUELLO Camilla 4% 20% 34% 28% 12% 2% -
110 PARKER Mrinali 36% 45% 17% 3% - - -
111 GARCIA RODRIGUEZ Victoria Maria 13% 37% 34% 14% 3% - -
112 MARGULIS Roxana 26% 53% 19% 3% - -
112 PARRA Luciana 28% 44% 23% 5% - -
112 DIBADJ Ava 53% 40% 7% - - -
115 SMITH Genevieve 36% 44% 18% 3% - - -
115 JOHNSON Marlee 33% 44% 20% 4% - - -
117 NARRELL Olive 54% 35% 9% 1% - - -
118 REYNOLDS CHANG Anna 61% 34% 5% - - - -
119 KARAVAS Lucy 26% 41% 25% 7% 1% - -
120 MAZZURCO Marin 28% 43% 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.