Capitol Clash SYC/RCC & Y8

Cadet Women's Saber

Monday, January 19, 2026 at 8:00 AM

Gaylord National Resort and Convention Center - National Harbor, MD, USA

Probability density of pool victories

Reset

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 ZHAO ZEMEI - - 1% 10% 39% 50%
2 HEATH Isabella - - 5% 23% 44% 28%
3 BAIK Sarah - - - 2% 11% 39% 48%
3 SARATH Sana 1% 5% 19% 33% 29% 12% 2%
5 YADAV Tishya - - 3% 19% 43% 35%
6 VUDTHITHAMRONG Vivienne 2% 14% 33% 34% 15% 2%
7 KO Ariel - 3% 20% 42% 30% 5%
8 STADNIK Emilia - - 3% 14% 33% 36% 14%
9 FAVO Isabella - - - - 5% 29% 66%
10 FAN Alexandria - - - 1% 8% 36% 55%
11 DAVIDOVA Kira - - - 3% 16% 44% 36%
12 YE Isabella - - 3% 15% 34% 34% 13%
13 ROSTHOLDER Hannah - 5% 30% 42% 20% 3%
14 ZHAO Selena - - 1% 5% 20% 41% 34%
15 GOEL Lineysha - 5% 23% 40% 27% 6%
17 CLAIANU Adriana 7% 26% 35% 23% 7% 1% < 1%
18 KAUL Tara - - - 2% 11% 37% 50%
19 PARK Haylie - - 4% 20% 40% 29% 6%
20 KU Chloe - - 1% 6% 22% 42% 30%
21 HUANG Pierra - 1% 6% 24% 42% 28%
22 DUFF Caitlin - - 3% 14% 32% 36% 15%
23 MULLER Inara - - 3% 14% 33% 35% 14%
24 WONG Charlene - 1% 9% 27% 37% 22% 5%
25 MAK Kaitlin - - 1% 5% 21% 41% 32%
26 CHAU Zoey - 1% 9% 29% 39% 20% 2%
27 YANG Selina - 3% 20% 38% 29% 9% 1%
28 JIANG Yutong - 2% 10% 26% 35% 23% 5%
29 TOPALOV Julia 1% 8% 33% 39% 17% 2%
30 MCAFEE Jada - 1% 8% 30% 43% 18%
31 LAI Karen - 1% 10% 28% 36% 20% 4%
32 MAK Jayden - - 2% 13% 33% 37% 15%
33 LOO Kaitlyn - - 1% 8% 26% 41% 24%
34 KIM Audrey - 1% 6% 22% 36% 27% 7%
35 LEE Alyson - - - 3% 17% 43% 37%
36 OSMINKINA-JONES Kai - - 1% 7% 27% 45% 21%
37 PEREIRA Izumi - 1% 8% 24% 36% 24% 6%
38 KANIA Brigitte 1% 7% 23% 35% 25% 8% 1%
39 DEMRY Kylee 4% 20% 36% 29% 11% 2% -
40 KAYA Lara 1% 7% 23% 34% 25% 9% 1%
41 BUSSELL Ava 2% 13% 30% 32% 17% 4% -
42 VATS Ishita - 1% 8% 25% 36% 24% 6%
43 WONG Cerise - 2% 10% 28% 35% 21% 5%
44 SEO Kaitlyn - 3% 14% 31% 33% 16% 3%
45 CANARAN Daphne M. 1% 9% 27% 36% 22% 5% -
46 SON Ellie 15% 37% 32% 13% 3% - -
47 LI Tiffany - 1% 10% 29% 36% 20% 4%
48 SEVASTOPULO Sahra - - 4% 19% 37% 32% 7%
49 YOUNG Sienna 1% 6% 22% 36% 26% 8% 1%
50 PHILLIPPY Hannah 2% 11% 29% 35% 19% 5% -
51 ZHANG Ashley - 1% 5% 20% 36% 29% 8%
51 POWERS Waverly 1% 8% 29% 36% 20% 5% -
53 MING Emma 1% 10% 33% 37% 17% 2%
54 NEMORIN Rei - - 2% 14% 37% 36% 10%
55 SHI Chuqing 1% 9% 26% 36% 22% 6% -
56 YANG Felicia - 2% 11% 27% 35% 20% 4%
57 TIAN Ariana 2% 13% 31% 33% 17% 4% -
58 YERENKOVA Ameliia - 3% 22% 42% 27% 5%
59 HUANG Neila - 4% 17% 36% 33% 10%
60 WANG Chloe - 1% 13% 34% 36% 14% 1%
61 LI Tira - 4% 21% 39% 29% 7%
62 OH Chloe 1% 8% 24% 34% 24% 8% 1%
63 CHAN Isla 26% 49% 21% 3% - -
64 LIU Stephanie 9% 29% 35% 20% 6% 1% -
65 GUO Daisy - 4% 19% 37% 30% 9% 1%
66 DOROBANTU Emma 9% 28% 35% 21% 6% 1% -
67 TABANCAY Ava 1% 15% 39% 33% 11% 1% -
68 KIM Eunjae 7% 29% 37% 21% 5% -
69 NANDA Maanika - 2% 12% 29% 34% 19% 4%
70 WEI Levana - 5% 25% 40% 24% 6% -
71 WANG MONA - - 4% 17% 36% 34% 9%
72 HU Heidi - 1% 9% 25% 36% 23% 6%
73 ZHANG Audrey - 3% 19% 38% 30% 9% 1%
74 PATEL Maia 1% 7% 22% 34% 26% 9% 1%
75 REDA Sophie - 3% 14% 31% 34% 16% 2%
76 GISCHLER Mila 25% 40% 25% 8% 1% - -
77 BABB Virginia 1% 11% 29% 35% 20% 5% -
78 BIESIADA Sophia 2% 13% 32% 33% 16% 3% -
79 YIN Xizi 17% 38% 31% 12% 2% - -
80 WANG Selina 34% 42% 19% 4% - -
81 HO Sophia - 6% 28% 40% 21% 4%
82 MISHRA Riona 6% 28% 39% 22% 5% - -
83 CONVERSO-PARSONS Maia 2% 12% 29% 33% 18% 5% -
84 ONO Lisa 11% 33% 35% 17% 4% - -
85 VANNIER Anouk 9% 40% 36% 13% 2% -
86 MCCARTHY Nora Louisa Abrous 4% 21% 36% 28% 10% 2% -
87 KANG Ellie 31% 41% 21% 6% 1% - -
88 RANDALL-COLLINS Shea M. - 5% 21% 37% 27% 7% 1%
88 FANG Darcy 5% 20% 34% 27% 11% 2% -
90 FANG Elena 4% 22% 38% 27% 9% 1% -
91 TASSONE Charlie 1% 10% 27% 34% 21% 6% 1%
92 KIM Lucy 26% 41% 25% 7% 1% - -
93 JEON Kristen 17% 53% 25% 5% - - -
94 LIAO Amber 46% 44% 9% 1% - -
95 DATLA Aanya 40% 45% 13% 2% - -
96 LIU Teresa 6% 27% 39% 22% 5% 1% -
97 SMITH Genevieve 4% 20% 36% 28% 10% 2% -
97 LIU Alyssa 8% 31% 37% 19% 5% 1% -
99 NAKATA Gwyneth 11% 34% 35% 17% 4% - -
100 ARIF Haniya 13% 34% 33% 16% 4% - -
101 MADDISON Erica 60% 33% 6% - - -
102 KIM Jodie 7% 41% 38% 12% 2% - -
103 WANG Emily 12% 33% 34% 17% 4% - -
104 LAU Angela 5% 23% 35% 26% 9% 2% -
105 DU Jessica 39% 42% 16% 3% - - -
106 FLEEGER Sophia 2% 14% 31% 32% 16% 4% -
107 JONES Victory 20% 44% 27% 8% 1% - -
108 SAGER Bianca 22% 40% 27% 9% 1% - -
109 MUNSHI Ridhima 2% 13% 32% 34% 16% 3% -
110 LIAO Audrey 30% 52% 16% 2% - -
111 SHOWKIER Amal 40% 45% 13% 2% - - -
112 LEE Kaitlin 2% 15% 35% 33% 13% 2%
113 TILAKARATNE Inuli 42% 41% 14% 2% - - -
114 PARKER Mrinali 38% 41% 17% 3% - - -
114 CORDOVA Hailey 72% 25% 3% - - - -
116 HILTON Penelope 61% 34% 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.