March NAC

Y-14 Women's Épée

Sunday, March 3, 2024 at 8:00 AM

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 LEE REGINA - - - - 1% 14% 85%
2 TOLSMA Chloe (CJ) - - - - 1% 16% 83%
3 SHIV Avni - - - - 5% 31% 63%
3 NEELAM Navya - - - 4% 21% 46% 29%
5 CAMAMA Tessa - - 1% 7% 26% 43% 23%
6 CAFASSO Natalya - - - - 3% 25% 72%
7 BEAVER Ava - - - 1% 10% 37% 51%
8 WANG Ziqi (yoyo) - - - 2% 12% 38% 48%
9 KOZLOWSKI Maya M. - - - 1% 7% 34% 58%
10 LISCUM Vivian - - 1% 9% 30% 41% 19%
11 CAMPBELL Eva - - 1% 7% 27% 43% 22%
12 PRESMAN Aerin - - 1% 7% 25% 43% 25%
13 FERREIRA DE MELO Adriana - - - 2% 13% 40% 44%
14 SU Evelyn - - 2% 14% 43% 41%
15 LEE Claire - - - 2% 13% 41% 44%
16 KUDRYAVTSEVA Margarita - 1% 7% 24% 39% 24% 5%
17 HABEK Sophia - - 3% 14% 35% 35% 12%
18 SEREGIN Katya - - 4% 23% 47% 26%
19 SOBUS Yanka - - - 1% 7% 34% 58%
20 TAM Connie - 3% 21% 39% 28% 8% 1%
21 ALEKSANDROVA Kristin - 1% 7% 25% 38% 25% 3%
22 HANKINS Morgan - - 3% 15% 34% 34% 13%
23 XU Serena - - 4% 17% 37% 32% 9%
24 STERR Isabella M. - - 3% 15% 34% 35% 13%
25 RICHARDSON Meredith - - - 4% 20% 43% 32%
26 FRANGER Macy - - 1% 5% 23% 43% 28%
27 IYER Ishana - - 3% 20% 46% 30%
28 LEE Gloria Y. - 1% 9% 31% 43% 16%
29 QI Julieanne - - 1% 10% 30% 40% 18%
30 MENDOZA zoie - 2% 9% 26% 37% 23% 4%
31 YILMAZ Pinar - - 1% 8% 26% 41% 23%
32 GUAN Isabella - - 4% 17% 39% 35% 5%
33 MYRAH Vivienne - - 4% 18% 35% 31% 10%
34 KUMAR Eva - - - 3% 16% 41% 40%
35 SHEFFIELD Skye - 2% 12% 31% 35% 17% 2%
36 PROFIS Liora - - - 4% 21% 44% 31%
37 ABUELFUTUH Sama - - 3% 22% 52% 23%
38 SUN Zeyu - - 1% 5% 22% 45% 27%
39 LI Azalea - 2% 11% 29% 36% 19% 3%
40 SUICO Kyubi Emmanuelle - 2% 12% 30% 35% 18% 3%
41 SUN Hanya - 1% 6% 23% 42% 27% 2%
42 MONOVA Lilyana - - 4% 18% 36% 32% 10%
43 HOLDEN Helena 2% 12% 31% 35% 17% 3% -
44 GANSER Nicole - 1% 6% 24% 38% 25% 6%
45 CHERNIS Liah 1% 8% 25% 35% 23% 7% 1%
46 ELTERMAN Kate - 8% 33% 43% 14% 1%
47 LI Olivia - 1% 11% 33% 40% 14%
48 WANG Sophie Y. - 4% 20% 39% 29% 7%
49 AIRES Julia - 1% 6% 22% 37% 27% 6%
50 NOVOJILOV Anastasia - - 4% 17% 36% 32% 10%
51 ILYAS Ayah - - 3% 14% 35% 36% 12%
52 WANG Victoria - - 4% 22% 45% 25% 4%
53 SONG Sunny - - 4% 18% 37% 31% 10%
54 LEE Camilla - - 1% 10% 33% 42% 14%
55 NGUYEN Ella - - 4% 20% 40% 31% 5%
56 ADYANTHAYA Anika 2% 14% 33% 34% 14% 3% -
57 FENG Iris 1% 7% 25% 37% 24% 6% -
58 WALLER DEL VALLE Alanis - - 3% 15% 33% 35% 13%
59 SCHMITT Harper - 1% 6% 22% 36% 28% 8%
60 WANG Jessie - - 1% 10% 42% 47%
61 KAUR Manroop - 1% 10% 31% 39% 18% 1%
62 LEE Yeriel - 2% 18% 38% 30% 10% 1%
63 KANASKAR Ila - 3% 14% 35% 35% 13% 1%
64 TALANDZEVICIUS Sophia 1% 11% 30% 35% 19% 4% -
65 WANG Zoe - - - - 3% 27% 70%
66 CHEN Stephanie - 1% 5% 19% 36% 30% 9%
67 ZHU Una 3% 20% 37% 28% 9% 1% -
68 STERN Savannah 1% 8% 30% 39% 19% 3%
69 BALAKRISHNAN Trisha - - 4% 21% 43% 32%
70 WANG Ziqiao (Claire) - 3% 15% 36% 36% 11%
71 WU Michelle - 2% 12% 29% 35% 19% 4%
72 DEPOMMIER Isabelle - - 3% 14% 33% 36% 15%
73 JIANG Serena - - 2% 12% 33% 39% 15%
74 XU Sunia (Tai Yang) - 2% 12% 33% 37% 15% 1%
75 WANG Cecilia - 9% 36% 37% 15% 3% -
76 NIX Reagan - - 2% 10% 31% 39% 18%
77 SUN Zhanwen 3% 20% 36% 28% 11% 2% -
78 MISHIMA Audrey - - 2% 11% 31% 40% 16%
79 DWIGGINS Reese 6% 28% 39% 21% 5% - -
80 RAMEY Alexa 1% 7% 24% 38% 25% 5% -
81 BURICEA Ada - 1% 10% 28% 38% 20% 3%
82 BEATIE Isabella M. - 3% 16% 33% 32% 14% 2%
83 WU Jessica - 1% 9% 26% 37% 23% 4%
84 PHUKAN Indra - - 3% 18% 43% 35%
85 PAN Angela 2% 15% 38% 33% 11% 1%
86 MA Sophie - 1% 9% 28% 38% 21% 3%
87 KONG Mila W. 5% 25% 38% 24% 7% 1% -
88 MERRIMAN Rie 1% 13% 34% 35% 15% 2% -
89 YANG Eleanor 7% 26% 36% 23% 7% 1% -
90 OLELE Ifechi 9% 35% 36% 16% 4% - -
91 GOH Cayla - 6% 28% 40% 22% 5% -
92 LI Alice - 2% 13% 32% 35% 16% 2%
93 DHAIYA Tanya 1% 9% 28% 36% 21% 5% -
94 BLANCO Ariia - 1% 7% 25% 41% 24% 3%
95 BOROTKO Katerina - 3% 14% 32% 34% 15% 2%
95 XU Chenyu - 5% 20% 35% 29% 10% 1%
97 LIN Ariel - - 2% 13% 35% 37% 13%
97 JAQUISH Zoey 5% 21% 36% 27% 9% 1% -
97 LIN Isabel - 4% 17% 35% 32% 11% 1%
100 CHEN Alina 3% 20% 36% 29% 10% 2% -
101 ZHU Riley 1% 10% 28% 35% 21% 5% -
101 CHI Zoe 6% 24% 37% 25% 8% 1% -
103 VOSKOV Olivia 5% 23% 37% 26% 8% 1% -
104 KUTSY Olga - 5% 21% 36% 28% 9% 1%
105 YUNG Bethany 2% 15% 35% 32% 13% 2% -
106 DENEALE Lucia 10% 33% 36% 17% 4% - -
107 KARTHIK Diya 12% 34% 35% 16% 3% - -
108 MCQUEEN Morgan - 6% 33% 42% 17% 2%
109 NGUYEN Renee 2% 24% 45% 25% 4% -
110 WANG Chloe 6% 24% 36% 25% 8% 1% -
111 XU Jessica 1% 8% 27% 36% 22% 6% 1%
112 TISMENSKY Abigail 1% 7% 24% 37% 24% 6% 1%
113 SUN Karolyn 2% 13% 32% 33% 16% 3% -
113 AWALEGAONKAR Saina - 6% 23% 36% 26% 8% 1%
115 JORDAN Zoe - 1% 10% 31% 39% 17% 1%
116 MOLLINIER Angel - 3% 14% 32% 33% 16% 3%
117 SCHOR Elisabeth 1% 9% 27% 35% 22% 6% 1%
118 GAN Shelby 2% 15% 34% 32% 14% 3% -
119 HAUSHEER Kuncen - 5% 21% 39% 28% 7% -
120 LOBANOVA Varvara 2% 15% 34% 32% 14% 3% -
121 ZHANG Helen 8% 29% 37% 21% 5% 1% -
122 LEE Valerie 2% 12% 32% 36% 16% 2% -
123 CHEN Julia Z. 14% 38% 34% 13% 2% - -
124 DYMAR Anna 3% 21% 40% 28% 7% 1%
125 DESAI Ela 4% 37% 43% 15% 2% -
126 TREPANIER Georgina 14% 37% 33% 13% 2% - -
127 PETROFF Eva 3% 17% 35% 30% 12% 2% -
128 HUANG Selina 9% 30% 36% 19% 5% 1% -
129 ZHAN Clare 8% 35% 37% 16% 3% - -
130 HALE Avery - 1% 8% 26% 38% 23% 5%
131 ZOU You yang (Yoyo) - 2% 15% 36% 34% 12% 1%
132 KALGAONKAR Arohi - 1% 7% 24% 38% 25% 4%
133 YOUSSEF Caroline 1% 10% 32% 37% 17% 3% -
134 ZHAO Emma 10% 30% 35% 19% 5% 1% -
135 PEI Claire 8% 28% 35% 22% 6% 1% -
135 CHIOU-WILLIAMS Matea - 8% 26% 37% 23% 6% -
137 WANG Angelina - 4% 17% 32% 30% 14% 2%
138 SHIBLEY Micaela 4% 25% 40% 25% 6% -
139 RADOV Una 15% 38% 33% 12% 2% -
140 KROPP Anne - 6% 33% 42% 17% 2%
141 LI Yunxuan (Joy) 1% 15% 38% 34% 11% 1%
141 YOUN Kylie 56% 35% 8% 1% - -
143 HERD Angela 3% 21% 37% 28% 9% 1% -
144 MIYOSHI Kylie 8% 30% 37% 20% 5% 1% -
145 HE Anna - 5% 19% 36% 30% 9% 1%
146 JIANG Xinchen 14% 35% 33% 14% 3% - -
146 NOGELA Aya 1% 9% 27% 37% 22% 5% -
148 LEE Adelynn 10% 33% 36% 16% 3% - -
148 BAO Queena 11% 32% 35% 18% 4% - -
150 TISMENSKY Avital 6% 24% 35% 25% 9% 1% -
151 KIM Vivian 11% 32% 35% 17% 4% - -
152 ANEZIOKORO Zahra 2% 18% 36% 31% 12% 2% -
153 NING Miranda 38% 43% 16% 2% - - -
154 ZHAO Ellie 17% 39% 32% 11% 2% - -
155 KELLER Mia 37% 42% 17% 3% - - -
156 FISCHBEIN Quinley 7% 27% 37% 22% 6% 1% -
157 FU Shannon 1% 9% 29% 36% 20% 5% -
158 TISHKOVA-ROBERTS Daria 27% 42% 24% 6% 1% - -
159 LEE Kaitlyn 18% 40% 31% 10% 1% -
160 YOON Claire 88% 11% - - - -
161 KELMAN Nora 5% 60% 30% 5% - -
162 DESAI Eesha 52% 38% 9% 1% - -
163 BI Michelle 1% 11% 31% 35% 18% 4% -
164 BLAETZ Isadora 4% 20% 36% 28% 10% 2% -
164 MOHAN Riya 1% 12% 33% 34% 16% 4% -
166 SHETH Anayaà 8% 31% 37% 19% 4% - -
167 DESANTIS-IBANEZ Elena 4% 21% 37% 28% 9% 1% -
168 HALE Reagan 13% 40% 33% 12% 2% - -
169 LE Luana 18% 38% 31% 12% 2% - -
170 YAN Ximei (Alicia) 21% 40% 28% 9% 1% - -
171 ARULKUMAR Lashia 5% 26% 38% 24% 6% 1% -
172 KOU Cynthia 9% 31% 37% 18% 4% - -
173 JIANG chenxi 2% 49% 38% 10% 1% - -
173 INDIKETIYA Dinuki 2% 14% 36% 34% 12% 2% -
175 BURKS Madison 17% 39% 32% 11% 2% - -
176 XIAO Katelyn 39% 41% 17% 3% - - -
177 SUNG Audrey 23% 42% 27% 7% 1% - -
178 SCANLAN Alina Nev 9% 34% 36% 17% 4% - -
179 CHEN Dian 46% 41% 12% 2% - - -
180 CHO Jacey 44% 45% 11% 1% - - -
181 JU Jennifer 49% 39% 11% 1% - - -
182 REED Katya 19% 39% 30% 11% 2% - -
183 GIERAT-KATZ Izabella 21% 41% 28% 9% 1% - -
184 ZU Jacqueline 66% 28% 5% - - - -
185 XU Mulan 37% 42% 17% 3% - - -
186 FU Ella 10% 39% 36% 13% 2% -
187 ZHAO Yanning 11% 35% 36% 15% 3% -
188 SHEN Catherine 2% 16% 35% 33% 12% 2% -
189 LI Jasmine 15% 41% 32% 10% 1% - -
190 SIDDABATHUNI ananya 81% 18% 1% - - -
191 MIXON Ivory 29% 51% 17% 2% - - -
192 MAENG Gloria 28% 43% 23% 5% - - -
193 OPERARIO Sofia Francesca 4% 18% 34% 30% 12% 2% -
193 YAN Yuzi 93% 7% - - - - -
195 REN Ivanka 52% 37% 10% 1% - - -
196 WANG Chantal 43% 41% 14% 2% - - -
196 GARCIA Sophia Noelle 35% 42% 19% 4% - - -
198 LI Chloe 44% 40% 13% 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.