National Championships & July Challenge (Summer Nationals)

Y-10 Women's Foil

Sunday, July 9, 2023 at 2:30 PM

Phoenix Convention Center - Phoenix, AZ, 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 WANG Joanna - - - - 1% 14% 85%
2 KRAHE Annika - - 4% 18% 36% 32% 10%
3 CULLIVAN Sienna - - - - 4% 28% 68%
3 YACOBUCCI Nadia - - - 1% 13% 43% 42%
5 DUAN Sophie - - - - 5% 30% 64%
6 BING Charlotte - - - - 5% 32% 63%
6 YAO Abby - 1% 5% 20% 35% 30% 10%
8 YU Sophie - 4% 16% 33% 31% 14% 2%
9 WANG Amabel - - - - 3% 23% 74%
10 EYER Brooke - - 1% 5% 20% 41% 33%
11 WANG DINA C. - 1% 5% 18% 34% 31% 11%
12 LI Alice - 1% 8% 27% 43% 21%
13 CHAN Mila - - 4% 19% 42% 35%
14 LI Joy - - 5% 20% 38% 30% 7%
15 KENSICKI Phoebe - 2% 11% 28% 36% 20% 2%
16 ZHAO Olivia 1% 9% 26% 35% 23% 6% -
17 LIGERET Stella - 1% 5% 18% 34% 32% 11%
18 TSIMIKLIS aphrodite - - - 4% 17% 41% 38%
19 ZEE Savannah - 2% 13% 33% 37% 15%
20 MA Isabelle - - 2% 14% 34% 36% 13%
21 LEE Zoe - - 3% 17% 46% 32% 3%
22 HUANG Natalie - - 3% 17% 41% 33% 5%
23 SALMI-BYDALEK Ada - - 3% 13% 31% 37% 16%
24 LIM Kensie - - 4% 18% 37% 32% 9%
25 ZHOU Joi - 5% 19% 33% 29% 12% 2%
26 PARK Lauren - - 3% 15% 33% 34% 14%
27 JI Dora - 1% 10% 29% 39% 20% 2%
28 CHANG Lydia - 4% 19% 36% 30% 9%
29 YIN Chloe - 3% 16% 35% 34% 10%
30 MCSHERRY Kayla - - 3% 13% 32% 37% 15%
31 SOE Hayleigh - 6% 23% 35% 26% 9% 1%
32 LI Olivia - 1% 8% 28% 41% 21%
33 CASHMAN Hailey - - - 1% 8% 35% 56%
34 BO Iris - 4% 17% 34% 32% 13% 1%
35 ZHANG Viviana - - 2% 14% 41% 37% 7%
36 BOIKE Lucille - - 1% 8% 32% 44% 16%
37 KNAPP Isabella - 1% 8% 24% 36% 25% 6%
38 FRASER Morgan - - 3% 18% 42% 32% 5%
39 DE CASTRO Kai - - 3% 17% 43% 31% 6%
40 NAYGAS Alexandra - 5% 21% 36% 28% 8% 1%
41 HAFEZ Sahar - 2% 11% 27% 34% 21% 4%
42 WANG Doreen 2% 13% 30% 34% 18% 4% -
42 LU Keeva 1% 8% 24% 35% 24% 7% 1%
44 ZHANG Elizabeth 11% 33% 35% 17% 4% -
45 TELEB Farida 17% 39% 31% 11% 1% -
46 SINGH Evangelina 2% 18% 37% 30% 11% 2% -
47 LIN Zhishan 7% 26% 36% 23% 7% 1% -
48 QIN Selina - - 1% 5% 23% 44% 27%
49 CHOI Lydia 1% 12% 31% 35% 17% 3% -
50 KIM Natalie - 10% 30% 35% 20% 5% 1%
51 DENG Claire - 1% 6% 19% 35% 31% 8%
52 LIM Kora 2% 22% 44% 26% 6% - -
53 SMIRNOV Victoria 2% 12% 28% 33% 19% 5% -
54 KENNEDY Izadora 3% 15% 31% 31% 16% 4% -
55 THOTA Akira - 11% 31% 34% 19% 5% -
56 BENNETT Emi - 1% 7% 30% 41% 19% 2%
57 AHN Hayley 6% 27% 40% 23% 5% - -
58 MORENO Josefina 3% 19% 37% 29% 10% 1%
59 ORBÉ-AUSTIN Maya - 7% 25% 35% 24% 8% 1%
60 LLOYD Bianca 1% 12% 32% 35% 17% 4% -
61 KIM Audrey 2% 11% 29% 34% 20% 5% -
62 JAZWINSKI Ivy - 2% 12% 29% 34% 19% 4%
63 LEO Jenna 2% 13% 30% 33% 17% 4% -
64 DAM Sofi 5% 23% 35% 25% 9% 2% -
65 ZHILKOV Anya - - 2% 11% 31% 39% 17%
66 DZIWULSKI Elisabeth Claire 4% 19% 33% 28% 12% 3% -
67 XU Ella - 3% 15% 30% 32% 16% 3%
68 WU Allison - - 3% 16% 37% 36% 8%
69 LEE Abigail 2% 11% 28% 33% 20% 6% 1%
70 MCLANAHAN Jasmine 3% 17% 36% 32% 11% 1% -
71 ZHU Ella 8% 26% 35% 23% 8% 1% -
72 LI Emma Jing 12% 34% 34% 16% 3% - -
73 HOM Emma 4% 29% 42% 21% 4% - -
74 CHIN Riley 29% 46% 21% 4% - - -
75 GE Deanna 3% 19% 36% 30% 11% 1%
76 WASHINGTON KAILYNN ROSE - 6% 23% 37% 27% 7%
76 LIU Ashley 10% 31% 36% 18% 4% -
78 DUVVA Sanika 8% 29% 37% 21% 5% -
79 TEWARI Amaira 4% 19% 33% 29% 12% 2% -
80 HSU Rachel - 1% 6% 20% 35% 29% 9%
81 YANG Olivia 2% 14% 34% 33% 14% 3% -
82 NEUMANN Erika 8% 26% 34% 23% 8% 1% -
83 YU Sien 18% 41% 31% 9% 1% - -
84 ZHANG Hannah 22% 41% 28% 8% 1% - -
85 XU Kaylee 1% 9% 29% 36% 20% 5% -
86 YU-TAN Claire 5% 25% 40% 24% 5% - -
87 CORDOVA Joscelyn 13% 37% 35% 13% 2% - -
88 IANNI Isabel - 4% 17% 32% 30% 14% 3%
89 DESAI Zoya 2% 11% 27% 33% 21% 6% 1%
89 REDEMANN Reagan 1% 7% 24% 35% 24% 8% 1%
91 ZHAN Catherine 4% 19% 33% 29% 13% 3% -
92 SMITH Samantha 32% 42% 21% 5% 1% - -
93 HOLMES Remaliah 6% 26% 38% 24% 7% 1% -
93 KIM Rylie 5% 24% 39% 25% 6% - -
95 GOMEZ Amelia 2% 13% 29% 32% 18% 5% -
96 SAIFEE Sakina 3% 16% 34% 32% 13% 2%
97 RIVERA Leahy 2% 14% 34% 34% 14% 2%
98 TAI Penelope 14% 35% 34% 15% 3% -
99 XIA Isabella 3% 16% 32% 31% 15% 3% -
100 MAENG Gloria 8% 26% 34% 23% 8% 1% -
100 WU Charlotte 15% 36% 32% 14% 3% - -
102 CHAN Jolene 2% 18% 35% 30% 13% 3% -
103 HOLLIS Priscillia 5% 24% 40% 26% 6% - -
104 DILLON Zoe 1% 8% 24% 34% 24% 8% 1%
104 BENTLEY Amelia 11% 34% 36% 16% 3% - -
106 ZHUANG Katherine 3% 17% 33% 31% 14% 3% -
107 LI Annabelle 4% 19% 33% 29% 13% 2% -
108 YANG Byanca 28% 43% 23% 6% 1% - -
109 LIU Mia 66% 29% 5% - - - -
110 MADAMINOVA Ariadna 71% 26% 3% - - - -
111 LIN Athena 1% 10% 29% 36% 20% 4% -
112 UPADRASHTA Anvi 49% 38% 11% 2% - -
113 BAO Amelia < 1% 5% 24% 40% 26% 5% -
114 CHIANG Aria 89% 11% 1% - - - -
115 ETIKALA Saanvi 28% 41% 23% 6% 1% - -
115 FAN Lauren 6% 26% 39% 24% 5% - -
115 WU Karina 21% 42% 28% 8% 1% - -
118 ZHOU Jolena 7% 28% 37% 22% 5% -
119 SMAJEK Lilou 3% 14% 30% 32% 17% 4% -
119 CHAN Jaclyn 35% 43% 19% 3% - - -
119 ZEE Bella 21% 39% 28% 10% 2% - -
122 CERILO Bella 41% 41% 15% 3% - - -
123 TAI Destinee 4% 21% 37% 28% 9% 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.