National Championships & July Challenge (Summer Nationals)

Y-12 Women's Foil

Saturday, July 8, 2023 at 8:00 AM

Phoenix Convention Center - Phoenix, AZ, 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 AMR HOSSNY Sara - - - - - 7% 93%
2 SUN Chloe - - - - 2% 21% 76%
3 YANG Iris - - - - - 4% 96%
3 CHO Emily (Euran) - - - - 2% 19% 80%
5 HSU Kaylin - - - - 3% 28% 69%
5 CHEN Renee - - - - 2% 25% 73%
7 MCSHERRY Ava - - - - 2% 20% 78%
8 SHEN Emilia - - - - 1% 17% 81%
9 YANG Emma - - - - 1% 15% 85%
10 SWANSON Alexa - - - - 3% 24% 73%
11 HAO Danica - - - 2% 15% 45% 39%
12 REN Kayley - - - - 6% 32% 61%
13 YANG Audrey - - - - 3% 28% 69%
14 ZOU Ella - - - 1% 13% 42% 43%
15 BROWN Lola - - 1% 6% 24% 43% 27%
16 FENG Grace - - - - 2% 21% 76%
17 HO Addison - - - - 7% 38% 55%
18 ZHANG Ivy - - - 2% 14% 42% 42%
19 WANG Amabel - - - 3% 15% 41% 41%
19 WANG CAROL - - - 2% 15% 43% 39%
21 SAIFEE Lamya - - - 1% 8% 38% 53%
22 PARK Lina - - - 1% 8% 36% 55%
23 DENG Melissa - - 4% 22% 46% 29%
24 BEAVER Ava - - - 1% 6% 35% 58%
25 MARISI Gianna - - - 1% 7% 35% 57%
26 ZELDIN Nadia - - 1% 8% 28% 44% 18%
27 DAVIS Logan - - - - 2% 26% 71%
28 FENG Audrey - - 3% 17% 39% 34% 7%
29 FIELD Elizabeth - - - 2% 14% 42% 42%
30 HARRIS Julia - - 1% 6% 28% 52% 13%
31 MCFARLANE Asha - 1% 7% 24% 39% 25% 4%
32 MUMMANENI Samyuta - - 1% 8% 33% 44% 13%
33 SHENG Katherine - - 2% 11% 33% 43% 11%
34 KRAHE Annika - 6% 24% 37% 25% 7% 1%
35 POEI Lauren - 1% 9% 29% 39% 19% 3%
36 JOO Natalie - - 1% 5% 24% 46% 25%
37 LI Han (Helina) - - - 5% 24% 47% 23%
38 DIMATULAC Elise Ann - 1% 10% 31% 37% 18% 3%
39 MIYASHIRO Katelyn - - 3% 18% 41% 33% 4%
40 DESERANNO Seren - - 3% 16% 44% 34% 3%
40 CAI Ilana - 2% 13% 31% 36% 17% 1%
40 LI Alice - 9% 32% 39% 18% 2% -
43 WANG Joanna - - - 3% 17% 42% 37%
44 LUO Miranda - - 2% 11% 33% 41% 13%
44 TAO Ann - - 3% 17% 43% 33% 4%
44 CHERNYKH Elina - 1% 5% 20% 37% 31% 8%
47 PARK Zena - - 1% 9% 33% 42% 14%
48 LIU Enjia sherry - - 5% 24% 46% 25%
49 YACOBUCCI Nadia - - 6% 24% 42% 24% 4%
50 TAN Shouyin 8% 27% 36% 22% 6% 1% -
51 KIM Sydney - 1% 8% 24% 38% 26% 3%
52 ZEE Savannah - 5% 20% 38% 30% 6% -
53 YIN Chloe - 7% 28% 40% 21% 4% -
54 SIROTA Francis - - - 3% 30% 56% 10%
55 TSIMIKLIS aphrodite - - 2% 12% 33% 39% 13%
56 LIM Kensie 2% 15% 33% 33% 15% 3% -
57 YU Sophie 1% 12% 33% 35% 16% 3% -
58 LI Joy - 2% 12% 32% 38% 15% 1%
59 CASHMAN Hailey - 1% 5% 22% 44% 25% 4%
60 WANG Emma - 5% 22% 39% 27% 7% -
61 ZAHRAN Emily 3% 42% 40% 13% 2% -
62 TAN Dorathy - 1% 8% 26% 40% 23% 3%
63 KRYLTSOVA Eva - 6% 23% 38% 26% 7% -
64 EPSTEIN Naomi 15% 36% 33% 14% 2% - -
65 BING Charlotte - - 1% 6% 29% 52% 12%
66 XIE Lillian - - - 3% 19% 45% 32%
67 CULLIVAN Sienna - - - 5% 24% 51% 20%
68 HUGHES Olivia 7% 27% 37% 23% 6% 1% -
69 WANG DINA C. - 4% 16% 33% 32% 13% 1%
70 LICHTENSTEIGER Megan - - 1% 10% 32% 44% 12%
70 LEVESQUE Brielle - 1% 9% 31% 43% 15% -
72 ALLEYNE Taylar - 1% 7% 23% 39% 27% 3%
73 HUANG Sophie - 5% 22% 37% 27% 8% 1%
74 EYER Brooke - - 3% 19% 45% 30% 2%
75 MCSHERRY Kayla - 2% 12% 33% 36% 15% 2%
75 DUAN Sophie - - 3% 16% 37% 34% 10%
77 LIN Kenzie 1% 10% 30% 37% 19% 3% -
78 LIN Yunong 1% 9% 26% 36% 23% 6% -
79 KIM Erin - - 2% 15% 54% 27% 3%
80 LING Camryn 9% 30% 37% 20% 4% - -
80 ORRINGER Lottie - 1% 9% 29% 40% 21% -
82 LIU Samantha 10% 32% 36% 18% 4% - -
83 CHAN Mila - 5% 21% 37% 28% 8% 1%
84 PEDERSEN Haley 1% 11% 31% 36% 17% 3% -
85 CHOI Sophie 3% 16% 32% 32% 15% 3% -
86 CAO Kayla - 2% 14% 36% 34% 12% 1%
87 ZHANG Gwenyth - 1% 9% 30% 41% 18% 1%
88 THERON Zoe 1% 10% 28% 36% 20% 4% -
89 PARK Lauren 1% 7% 25% 36% 23% 6% 1%
90 MONAT Jennifer 1% 10% 27% 35% 21% 5% -
91 MA Isabelle 1% 6% 23% 37% 26% 7% -
91 YONG Rosalind - - 2% 15% 42% 35% 5%
93 CHEN Madeleine 20% 40% 29% 9% 1% - -
94 BLAKEY Heaven - 2% 12% 30% 35% 18% 3%
95 WU Chingfei Amber 1% 8% 28% 38% 21% 4% -
96 RICHARDS Axelle 5% 29% 38% 21% 5% 1% -
97 HAN Gian - 1% 6% 21% 37% 28% 7%
98 TULYAG Sayda 1% 10% 28% 36% 20% 3% -
99 LIU Ariana 1% 15% 39% 33% 11% 1% -
100 YAO Abby 2% 13% 31% 34% 17% 3% -
101 ZHOU Joi 5% 22% 36% 27% 9% 1% -
102 HAFEZ Sahar 1% 9% 29% 38% 20% 3% -
103 CHO Karis 18% 38% 30% 11% 2% - -
104 IQBAL Mariam - 6% 29% 42% 20% 3%
105 ADLER Zoe - 1% 6% 25% 39% 24% 5%
106 HUANG Natalie 1% 10% 27% 35% 22% 5% -
107 SREENIVAS Ridhi 11% 33% 37% 16% 3% - -
108 KIM Claire 2% 13% 32% 34% 15% 2% -
109 ROBERTS Anastasia 1% 8% 25% 35% 24% 6% -
110 FAN Sophia 10% 35% 39% 14% 1% - -
111 DE CASTRO Kai 1% 10% 32% 38% 16% 3% -
112 FOX Arcadia 1% 11% 30% 35% 19% 4% -
113 LUCAS Ava 3% 19% 40% 32% 5% - -
113 DINH May 7% 26% 37% 23% 6% 1% -
115 ZHANG Zoey 5% 25% 39% 24% 6% 1% -
116 MATTUPALLI Ashwika 1% 12% 31% 35% 18% 4% -
117 OLSHANSKY Dalia 10% 34% 36% 17% 3% - -
117 HOM Avery 5% 24% 37% 25% 8% 1% -
119 DUVVA Sanika 19% 42% 30% 8% 1% - -
120 CHAN Ella 5% 24% 39% 25% 6% - -
121 KENSICKI Phoebe 3% 22% 39% 27% 8% 1% -
122 BOIKE Lucille 1% 7% 24% 36% 25% 7% -
123 BULAVA Tatyana 13% 35% 33% 15% 3% - -
124 LI Olivia - 12% 40% 36% 11% 1%
125 LI Savannah 3% 16% 35% 32% 13% 2% -
126 PEDERSEN Clara 1% 9% 27% 37% 22% 5% -
126 TELEB Farida 11% 34% 37% 16% 2% - -
128 LU Keeva 7% 38% 38% 14% 2% - -
129 BO Iris 2% 19% 41% 31% 7% 1% -
130 GE Lena Lan 6% 24% 36% 25% 8% 1% -
130 WU Lorena - 1% 8% 26% 40% 24% 1%
132 MARTIN Sloan - - 4% 19% 41% 32% 3%
133 SALMI-BYDALEK Ada 1% 8% 25% 36% 23% 6% 1%
134 RAFFAELE Nancy 6% 24% 38% 25% 6% - -
135 LEE Abigail 4% 19% 36% 30% 10% 1% -
135 CHU Felicity 21% 39% 28% 10% 2% - -
137 ZHILKOV Anya - 4% 18% 35% 31% 11% 1%
138 WASHINGTON KAILYNN ROSE 5% 21% 35% 28% 11% 2% -
139 DENG Claire 1% 8% 27% 38% 21% 5% -
140 HUSSIAN Annabelle - 7% 28% 38% 22% 4% -
141 KUTATELADZE Anna 19% 42% 29% 9% 1% - -
142 LI Jasmine 3% 26% 42% 24% 5% - -
143 CHANG Lydia 4% 20% 36% 28% 10% 1% -
144 CHANG Olivia 5% 21% 36% 28% 9% 1% -
145 ZOLDAN Nolabelle 2% 19% 38% 30% 10% 1% -
146 TEWARI Amaira 10% 33% 37% 17% 3% - -
147 HUSSAIN Maya 2% 18% 40% 31% 8% 1% -
148 SAH Madeleine 12% 35% 36% 15% 2% - -
149 KANG Marian 1% 12% 30% 35% 18% 3% -
150 JEANBAPTISTE Lauren 26% 42% 25% 7% 1% - -
150 LEE Zoe 3% 18% 34% 30% 12% 2% -
152 MA Yifei (Olivia) 35% 42% 18% 4% - - -
153 ACHESON Lilianne 22% 43% 28% 7% - - -
154 MACKINTOSH Quinn 4% 22% 36% 27% 9% 1% -
155 SINGH Evangelina 23% 41% 27% 8% 1% - -
156 KIM Natalie 10% 34% 37% 16% 3% - -
157 NAYGAS Alexandra 7% 40% 38% 13% 2% - -
158 LEO Jenna 19% 48% 27% 6% 1% - -
159 SHUSTA Lily 2% 16% 35% 32% 13% 2% -
160 ZHANG Viviana 1% 12% 33% 34% 16% 3% -
161 LIM Kora 47% 42% 10% 1% - - -
161 WANG Doreen 9% 39% 37% 14% 2% - -
163 WU Allison 3% 17% 34% 31% 13% 2% -
164 LIN Allison 2% 18% 42% 29% 8% 1% -
165 HAN Mia 1% 10% 28% 35% 20% 5% -
166 WU Elynna - 3% 15% 33% 33% 14% 1%
166 LIGERET Stella 1% 9% 27% 36% 22% 5% -
168 AULT Aryanna 1% 12% 37% 36% 13% 2% -
169 LU Zoe 17% 38% 32% 12% 2% - -
170 SFINTESCU Emma 27% 41% 24% 7% 1% - -
170 LEE Madeleine 2% 16% 36% 33% 12% 1% -
172 SOE Hayleigh 10% 32% 36% 18% 4% - -
172 XIA Isabella 40% 41% 16% 3% - - -
174 NEUMANN Erika 11% 32% 36% 17% 3% - -
175 KIM Alison 10% 31% 36% 18% 4% - -
175 OLSON Linnea 1% 8% 28% 38% 21% 4% -
177 LIN Athena 25% 41% 25% 7% 1% - -
177 DESAI Zoya 8% 31% 39% 18% 4% - -
179 KEHOE Audrey 15% 40% 34% 10% 1% - -
180 SAMALA Reese 1% 16% 37% 32% 12% 2% -
181 RIVERA Leahy 4% 20% 35% 28% 10% 1% -
182 SEAL Ayda 11% 34% 36% 16% 3% - -
182 HOROWITZ Shuli 1% 11% 30% 36% 18% 3% -
182 ZHANG Elizabeth 14% 35% 33% 14% 3% - -
185 BAULIN Zoya 10% 35% 36% 16% 3% - -
186 CHIN Riley 70% 26% 4% - - - -
186 HOM Emma 61% 32% 6% 1% - - -
186 FRASER Morgan 4% 19% 36% 30% 10% 1% -
189 TAI Taphanie 54% 36% 9% 1% - - -
190 LI Emma Jing 55% 36% 8% 1% - - -
190 MCLANAHAN Jasmine 27% 43% 24% 6% 1% - -
192 CLEMMER-BECHT Elise 6% 25% 38% 24% 6% - -
193 KNAPP Isabella 3% 16% 33% 32% 14% 2% -
193 BLANKS Campbell 9% 28% 35% 21% 6% 1% -
193 BEHL Alessandra 36% 43% 18% 3% - - -
196 BORDIER Siloe 22% 43% 27% 7% 1% - -
197 CHEN Elysia 91% 9% - - - -
198 YU Sien 59% 34% 7% 1% - - -
199 ROUSH Rowynn 14% 37% 34% 13% 2% - -
199 WU Emma 67% 29% 4% - - - -
199 ETIKALA Saanvi 63% 32% 5% - - - -
202 LIU Joanna 68% 28% 4% - - - -

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.