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March NAC

Cadet Women's Foil

Friday, March 1, 2024 at 1:00 PM

Oregon Convention Center - Portland, OR, 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 LUO Ziyue - - - 1% 11% 40% 48%
2 LIN Zhi Tong - - - 1% 8% 39% 53%
3 GEBALA Gabrielle Grace A. - - - - 3% 23% 74%
3 LIU Joy Zhaoyi - - - - 2% 22% 76%
5 LEE Lavender - - - - 5% 30% 65%
6 YANG Iris - - - - 5% 33% 62%
7 SEO IRENE Y. - - - - 4% 28% 68%
8 ZHANG Eunice - - 3% 17% 42% 34% 5%
9 NISSINOFF Alexandra - - - 2% 18% 52% 29%
10 CHO Rebecca H. - - - - 4% 29% 67%
11 WANG CAROL - 1% 7% 24% 38% 25% 5%
12 FENG Grace - - - 5% 23% 46% 26%
13 MI Aileen - - - - 6% 34% 59%
14 KIM Rachel - - - 1% 14% 58% 26%
15 CHO Emily (Euran) - - - 1% 10% 38% 52%
16 SHENG Chuxi - - 1% 8% 29% 42% 20%
17 DENG Melissa - - 3% 17% 42% 34% 5%
18 CALISE Ella - - - 1% 7% 36% 56%
19 CHEN Chloe I. - - - 1% 8% 36% 56%
20 CHEN Renee - - 1% 6% 22% 42% 30%
21 PENG Serena - - 4% 17% 38% 34% 7%
22 HARRIS Julia - 3% 15% 34% 33% 13% 2%
23 ZELDIN Nadia - - 3% 17% 41% 33% 6%
24 YANG Emma - - 1% 10% 32% 40% 17%
25 YURKOVA Mariia - - 1% 7% 32% 48% 13%
26 HSU Kaylin - - 2% 11% 32% 39% 15%
27 PAULUS Sloane E. - - 3% 18% 41% 32% 6%
28 OH Ceana - 1% 7% 24% 40% 26% 3%
29 LEUNG Mei Hang (Danise) - - 2% 17% 45% 35%
30 PEVZNER Nicole - - 1% 7% 27% 44% 20%
31 MCSHERRY Ava - - 1% 9% 30% 41% 19%
32 SHIM Grace J. - - 1% 6% 25% 43% 26%
33 SONG Yuqiao Aprille - - - - 3% 37% 60%
34 SHEN Emilia - - - 1% 9% 38% 51%
35 DAI Zizhuo (Zizi) - 1% 6% 24% 45% 25%
36 GOOR Viviene E. - - - 1% 9% 37% 53%
37 DIMATULAC Elise Ann - 2% 15% 41% 32% 9% 1%
38 XIE Lillian - 1% 9% 32% 40% 17% 1%
39 ZHANG Junyi Irina - - 1% 8% 29% 41% 21%
40 SUN Emily - - - 5% 26% 50% 19%
41 GU Maggie Runlin - - - 3% 20% 46% 31%
42 LI Alice 3% 16% 34% 32% 13% 2% -
43 FETECAU Ilinca - 2% 17% 39% 33% 9%
44 JOO Natalie 1% 10% 37% 37% 14% 2%
45 LI Han (Helina) 4% 21% 38% 28% 8% 1%
46 ZHANG Soleil C. - - 3% 13% 34% 39% 11%
47 BAE Yooju - 2% 11% 32% 38% 15% 1%
48 YONG Rosalind 7% 27% 36% 22% 7% 1% -
49 KIM Claire 5% 26% 40% 23% 6% 1% -
50 ORVANANOS Anice - - - 3% 18% 44% 35%
51 WANG SIQI - - 4% 21% 43% 28% 3%
52 YANG Audrey - 1% 6% 23% 39% 26% 5%
53 LI Eleanor - - 1% 8% 28% 41% 21%
54 GUO Audrey 12% 40% 35% 11% 2% - -
55 WANG Joanna - - 4% 21% 42% 29% 4%
56 HAFEZ Tahiyah - 7% 28% 42% 20% 3%
57 CASTANEDA Keira - 1% 6% 24% 44% 25%
58 XIE Su 4% 24% 43% 24% 5% -
59 WYNN Kylie 1% 13% 34% 34% 15% 3% -
60 STRUGAR Steliana - - 4% 20% 41% 30% 4%
61 ZOLDAN Gweniveve A. 3% 17% 35% 31% 12% 2% -
62 LENK Sophie - 1% 8% 27% 39% 21% 3%
63 KO Claire - - 5% 24% 43% 25% 3%
64 DONG Angela 3% 17% 36% 32% 11% 1%
65 HAN Crystal - - 4% 18% 38% 31% 8%
66 HO Addison - - 4% 19% 39% 32% 6%
67 SAIFEE Lamya - 1% 9% 32% 42% 17%
68 SWANSON Alexa - 2% 10% 29% 38% 19% 3%
69 WU Nicole Moxuan 3% 16% 35% 32% 13% 2% -
70 ZHANG Ivy - 1% 8% 31% 43% 15% 1%
71 HU Jenna - 1% 9% 29% 39% 19% 2%
72 ZHUANG Christina - - 1% 10% 34% 43% 11%
73 BEAVER Ava - 2% 12% 32% 35% 16% 2%
74 ZHANG Lian 7% 28% 38% 21% 5% - -
75 POEI Lauren - 4% 23% 43% 27% 3% -
76 DAVIS Logan - - 4% 19% 41% 32% 3%
77 AYUPOVA AMELIYA - 2% 11% 29% 35% 20% 4%
78 SHMAY Anastasia - - 5% 26% 46% 22%
79 LAI Sophia - - 2% 13% 35% 39% 11%
80 SIROTA Francis 1% 9% 29% 37% 20% 4% -
81 ZHENG Zoe 1% 7% 29% 40% 20% 4% -
82 WANG Amabel - 3% 14% 33% 35% 14% 2%
83 REN Kayley - 1% 9% 31% 41% 16% 1%
84 TIKHONOVA Vasilisa 9% 34% 39% 16% 2% - -
85 BERGEL Daphne - 5% 28% 43% 21% 2% -
86 URDANETA LARGURA Sylvia 1% 14% 44% 31% 8% 1% -
86 LI Azalea 4% 24% 45% 23% 4% - -
88 LIU Enjia sherry - - 4% 21% 42% 28% 4%
89 CHUN Adelle Ha-Eune 1% 11% 32% 36% 17% 3% -
89 JIANG Chloe 2% 15% 39% 33% 10% 1% -
91 MU Allison - - 4% 23% 42% 26% 4%
92 ORRINGER Lottie 6% 28% 41% 20% 4% - -
93 PENG Charlotte 7% 26% 37% 23% 6% 1% -
93 BING Charlotte 11% 32% 35% 17% 4% - -
93 TANG Melody Fujiao - 2% 17% 43% 30% 7% 1%
96 LIU Samantha 3% 21% 43% 26% 6% 1% -
97 CAI Ilana 2% 17% 38% 32% 10% 1% -
98 ANDONIAN Lauren 6% 27% 40% 22% 4% - -
98 DESAI Esha 6% 24% 36% 25% 8% 1% -
100 FAN Lydia 3% 15% 32% 32% 15% 3% -
101 CUI alivia 1% 7% 26% 39% 22% 4% -
102 PIERSON Sophie 11% 39% 36% 12% 2% -
103 TSIMIKLIS Aphrodite 1% 9% 30% 39% 18% 3% -
104 WANG Sophia - 4% 21% 39% 28% 7% 1%
105 MCFARLANE Asha 3% 21% 41% 26% 7% 1% -
106 LIU Eva 6% 23% 36% 26% 8% 1% -
107 BROWN Lola - 3% 14% 32% 35% 15% 1%
107 GUAN Adeline - 3% 19% 41% 29% 7% -
109 SAKALLA Serene 8% 31% 38% 19% 4% - -
110 KRAHE Annika - 6% 25% 42% 23% 4% -
111 BOLES Amanda X. - 2% 12% 34% 37% 14% 2%
111 YAN Noelle - 4% 17% 36% 31% 11% 1%
111 FENG Audrey 5% 25% 39% 24% 7% 1% -
114 ZONG Melody 17% 41% 32% 10% 1% - -
115 HOVAGHIMIAN Fira 3% 21% 39% 28% 9% 1% -
116 TAO Ann 3% 16% 35% 33% 12% 2% -
117 NAIR Supriya 3% 24% 41% 25% 7% 1% -
117 AADHI Hansika 2% 11% 29% 34% 19% 4% -
119 WU Chingfei Amber 6% 24% 36% 25% 8% 1% -
120 DESERANNO Seren 8% 34% 39% 16% 3% - -
121 ORBE-AUSTIN Nia 27% 43% 24% 5% 1% - -
122 LUO Miranda 22% 41% 28% 8% 1% -
123 MANIKTALA Prisha - < 1% 6% 27% 43% 23%
124 MONAT Jennifer 18% 39% 31% 10% 1% - -
125 COX Sophia 21% 41% 28% 9% 1% - -
126 HUGHES Olivia 21% 48% 26% 5% - - -
127 CHERNYKH Elina 9% 31% 37% 18% 4% - -
127 AL-BATTAINEH Eva 3% 17% 36% 31% 11% 2% -
129 HAN Gian - 7% 33% 41% 17% 1% -
130 CASHMAN Hailey 14% 37% 33% 13% 2% - -
131 LEVESQUE Brielle 5% 22% 37% 27% 8% 1% -
132 PAN Yiran 23% 43% 27% 7% 1% - -
133 KRYLTSOVA Eva 36% 49% 14% 1% - -
134 REZA Fukaina 36% 48% 14% 2% - -
135 TIKHONOVA Sofia 11% 31% 35% 18% 5% - -
136 MIRZA Sophia 7% 34% 38% 17% 3% - -
137 YU Jane - 4% 19% 38% 29% 9% 1%
137 SHIN Jaelynn 17% 48% 29% 6% - - -
139 CHU Felicity 71% 27% 2% - - - -
140 WANG DINA C. 12% 35% 35% 15% 3% - -
141 SAH Madeleine 49% 39% 11% 1% - - -
142 CHANG Elizabeth - < 1% 3% 19% 42% 30% 5%
143 ORBÉ-AUSTIN Maya 32% 43% 20% 4% - - -
144 LIU Emily 6% 49% 35% 9% 1% - -
144 CHANG Janelle 38% 47% 14% 2% - - -
146 LI Savannah 14% 41% 33% 10% 1% - -
146 AL-BATTAINEH Hana 44% 43% 12% 1% - - -
148 LIN Allison 47% 41% 11% 1% - - -
149 PEDERSEN Haley 19% 47% 27% 5% - - -
150 ZHOU Nichole 6% 29% 38% 21% 5% - -
151 PIQUETTE Annika 25% 44% 25% 5% - - -
151 VANMOORSEL Faye 14% 37% 34% 13% 2% - -
153 LIU Ariana 35% 44% 18% 3% - - -
154 KIM Sydney 7% 28% 38% 21% 5% - -
155 WANG Yiru (Nina) 7% 28% 37% 22% 6% 1% -
156 WILLIAMSON Tessa 11% 35% 36% 15% 2% - -
157 YUEN Chloe 18% 42% 31% 8% 1% - -
158 TAN Shouyin 52% 37% 9% 1% - - -
159 ZHOU Joi 49% 40% 10% 1% - -
160 LEUNG Lokhei (Hailey) 11% 32% 35% 17% 4% - -
161 LIU Grace 8% 32% 40% 17% 3% - -
162 WANG Melissa 11% 33% 35% 17% 4% - -
163 NIRGUDE Esha 19% 42% 30% 8% 1% - -
164 GUO GABRINA 6% 29% 40% 21% 4% - -
165 MORSE Katherine 13% 54% 28% 5% - - -
166 WU Elynna 24% 42% 26% 7% 1% - -
167 YUEN Elsie 4% 23% 39% 26% 7% 1% -
168 MA Emily(Yiming) 49% 39% 11% 1% - - -
169 LICHTENSTEIGER Megan 15% 39% 33% 11% 2% -
170 CLAYTON Evelyn 79% 20% 1% - - - -
171 HILLMAN Eris 8% 32% 41% 17% 2% - -
172 ASADI Lucille 40% 44% 14% 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.