November NAC

Junior Women's Saber

Monday, November 13, 2023 at 8:00 AM

Fort Worth Convention Center - Fort Worth, TX, 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 SHOMAN Jenna - - - - - 10% 89%
2 HILD Nisha - - - 2% 12% 39% 47%
3 OISHI Megumi - - - - 6% 31% 63%
3 JUNG Irene - - - 2% 12% 41% 46%
5 ANDRES Katherine A. - - - 4% 18% 42% 36%
6 ENGELMAN-SANZ Madeline A. - - - 3% 17% 41% 39%
7 MIKA Veronica - - - 1% 11% 39% 48%
8 JOHNSON Dagny L. - 1% 8% 26% 37% 23% 5%
9 KIM Marley I. - - 4% 23% 46% 26%
10 LIU Sophie - - - 2% 12% 39% 48%
11 BEVACQUA Aria F. - - 1% 6% 24% 44% 26%
12 SHI Cathleen - - 1% 7% 25% 42% 25%
13 FREEDMAN Janna N. - - - 5% 31% 63%
14 CHEN Xiaohan - - - 2% 14% 44% 40%
15 PAUL Lila - - 1% 5% 23% 43% 28%
16 XIAO julie - 7% 31% 43% 18%
17 LUKER Sophia - 21% 44% 28% 6%
18 ALFARACHE Gabriella C. - 5% 20% 37% 29% 8% 1%
19 LIN Audrey J. - - - 2% 15% 40% 42%
20 KONDEV Elizabeth - 3% 16% 34% 32% 12% 2%
21 SOURIMTO Valeria - - 2% 12% 32% 38% 15%
22 MANN Sophia J. 3% 20% 42% 29% 7% -
23 NATH Trisha - 1% 8% 30% 43% 19%
24 VESTEL Mira B. - - 5% 23% 44% 27%
25 CHUNG Hailey - 1% 10% 31% 40% 18% 1%
26 NGUYEN Siena - 1% 9% 30% 40% 19% 1%
27 LIU Sydney - 3% 18% 36% 30% 11% 1%
28 MUND Ruth - 2% 14% 34% 34% 13% 2%
29 SCHIMINOVICH Sophia I. - - 2% 12% 31% 38% 16%
30 LU Elaine - - 1% 7% 23% 41% 28%
31 VADASZ Ibla P. - 4% 24% 45% 26%
32 MEDVINSKY Alexandra 8% 30% 37% 20% 5% -
33 TSE Angelina - 1% 8% 26% 37% 23% 4%
34 JEONG Katie - - 5% 19% 36% 31% 8%
35 TSUI Natalie - - 3% 17% 37% 34% 8%
36 ANDRES Charmaine G. - - - 4% 21% 43% 32%
37 SO Catelyn - - 7% 26% 39% 23% 5%
38 LEE Hannah - - - 5% 22% 43% 30%
39 HUNG Anna - 3% 16% 34% 32% 13% 2%
40 WILLIAMS Chloe C. - - - 2% 15% 44% 39%
41 LI YING CHU 4% 21% 35% 28% 11% 2% -
42 CHEN Ashley - - 2% 12% 32% 39% 15%
43 LU Amy - 1% 6% 24% 39% 25% 5%
44 LIN Nicole - 2% 13% 34% 37% 13% 1%
45 TABANGAY Heartlyn - - 2% 13% 35% 38% 11%
46 BOYNTON Ainsley 4% 24% 42% 25% 6% -
47 SHTREVENSKY Maria - - 6% 25% 40% 25% 3%
48 FEIG Sela - 3% 18% 38% 30% 10% 1%
49 ERIKSON Kira R. - - 1% 7% 27% 43% 22%
50 SZETO Chloe - - 1% 8% 29% 44% 18%
50 LI Jiaying 4% 19% 36% 29% 11% 1% -
52 MARYASH Samantha - 2% 13% 32% 34% 16% 2%
53 ZHANG Chenfei - 5% 21% 36% 28% 9% 1%
54 CALLAHAN Chase J. - - 4% 22% 46% 28%
55 STONE Coral 5% 27% 42% 22% 4% -
56 ZHANG XUANYI - 2% 10% 26% 36% 23% 4%
57 ZHANG Sophie - 6% 24% 37% 25% 7% -
58 YANG Lea - 2% 15% 34% 33% 14% 2%
59 GUVEN Coco 4% 19% 34% 28% 12% 2% -
60 SINHA Anika - 1% 14% 36% 35% 13% 1%
61 LEE Sophia - - 4% 19% 37% 31% 8%
62 PABIAN Emilia - 5% 32% 40% 20% 4% -
63 LEE Lauren 8% 28% 36% 21% 6% 1% -
64 WU Helen - 1% 10% 31% 37% 18% 3%
65 KER Grace - - - 3% 15% 41% 41%
66 XIONG Haojiao - - 4% 21% 39% 29% 7%
67 KINKADE Ellie 2% 15% 35% 33% 13% 2% -
68 DHAR Layla 2% 14% 33% 33% 15% 3% -
69 LIGH Erenei J. - 4% 20% 42% 30% 4%
70 MCKEE Brynnley - 1% 7% 24% 42% 26%
71 DAI Olivia 5% 22% 37% 27% 9% 1%
72 MERCHANT Aishwarya 5% 22% 35% 26% 9% 1% -
73 HUAI Delilah - 2% 12% 30% 35% 18% 3%
74 ANTHONY Alexia B. - 2% 12% 31% 35% 17% 3%
75 ZENG Sarah 1% 10% 28% 35% 20% 5% -
76 VINOGOROVA Sofiia - 2% 11% 28% 35% 20% 4%
77 BOIS Adele - - 1% 5% 23% 45% 26%
78 CHRISTOTHOULOU Olympia C. - 2% 10% 26% 35% 22% 5%
79 DUDNICK Morgan 1% 22% 41% 28% 8% 1% -
80 YOUNG Charlotte G. - 2% 15% 36% 34% 12% 1%
81 BAKER Audrey C. - 5% 23% 43% 25% 4%
82 TAN Adelyn - 9% 31% 36% 18% 4% -
83 LI Amanda C. - - 1% 5% 22% 44% 28%
84 GUGALA Hanna 1% 7% 25% 37% 24% 6% -
85 RAMIREZ Mirka A. - 5% 22% 36% 27% 8% 1%
86 GOMERMAN Sophia - 4% 17% 34% 31% 12% 1%
87 MAKLIN Sofia - 3% 17% 35% 32% 11% 1%
88 SHEARER Natalie E. - - 1% 6% 27% 46% 21%
89 CHAN Jolene 1% 14% 35% 33% 14% 3% -
90 DONG Angel 1% 10% 32% 37% 18% 3% -
91 BALAKUMARAN Maya - 1% 9% 27% 37% 22% 4%
92 SCOTT Eve 1% 9% 25% 34% 23% 7% 1%
92 CHIANG Melissa 1% 11% 33% 37% 16% 3% -
92 LIU Yifei - 2% 10% 27% 37% 21% 3%
95 XI Shining - - 3% 15% 36% 35% 11%
95 MARGULIAN Maria 6% 30% 38% 21% 5% 1% -
95 SAYSON Andrea 1% 9% 27% 35% 22% 6% 1%
98 GHAYALOD reya - - 2% 10% 29% 40% 20%
99 FERNANDEZ Martina 1% 6% 21% 34% 27% 9% 1%
99 YU Zhiang - 4% 21% 38% 28% 8% 1%
101 SCHAIBLE Sofia L. 1% 10% 32% 37% 17% 3% -
102 SENOGLU Irmak - 24% 44% 26% 5%
103 WEI JoyAnn - 6% 24% 37% 25% 7% 1%
103 WILSON Eva 7% 26% 35% 23% 8% 1% -
105 LO Chloe 7% 30% 37% 20% 5% 1% -
106 BROCK Sydney 2% 14% 33% 33% 15% 3% -
107 CAO Sophie 25% 41% 25% 7% 1% - -
108 XU Emily T. 3% 18% 34% 30% 13% 3% -
108 HUANG Rachael 1% 8% 23% 34% 25% 8% 1%
110 WANG yining - 5% 21% 37% 28% 9% 1%
111 WANG Gloria Ruoyan 2% 17% 37% 31% 11% 2% -
112 FESTA Carina - 4% 22% 42% 28% 4%
113 GRAJALES Hannah E. 1% 11% 30% 36% 18% 3%
113 CHIARELLI Valentina - 4% 17% 36% 33% 10%
115 GOLOVITSER Maya 8% 37% 38% 15% 2% -
116 GAUTAM Sahana 1% 6% 25% 37% 24% 7% 1%
117 CHAVAN Arya 2% 23% 39% 26% 8% 1% -
118 BARNOVITZ Maya - 2% 9% 26% 37% 22% 4%
119 NAYAK Esha 10% 36% 36% 15% 3% - -
120 CHIN Sophia J. - - < 1% 3% 17% 42% 37%
120 ZOLLER Noelle 4% 25% 39% 24% 7% 1% -
122 LIM Jaslene - 5% 22% 38% 27% 7% 1%
123 KHAN Alissa - 4% 24% 40% 26% 6% -
124 ATTIA Jasmine 3% 16% 33% 32% 14% 3% -
125 HAMBAZAZA Liisa 1% 7% 23% 34% 25% 8% 1%
126 PADANILAM Lily 15% 43% 32% 10% 1% - -
127 LEMUS-IAKOVIDOU ALEXANDRA - 6% 25% 38% 25% 6% -
128 HENRY Soraya S. 2% 14% 33% 33% 15% 3% -
129 NEUMAN Ella 25% 40% 25% 8% 1% - -
129 LATYSHAVA Stephanie 6% 55% 31% 7% 1% - -
131 LIU Zhi Jun - 2% 13% 32% 34% 16% 2%
132 JEFFORDS Sophia 21% 43% 27% 7% 1% - -
133 HUANG MADELINE 1% 9% 26% 36% 23% 6% -
134 LEOU Korina 5% 22% 35% 26% 10% 2% -
135 YAO Rainie - 4% 18% 35% 31% 10% 1%
136 SHEARER Alena 12% 43% 33% 10% 1% - -
137 GOSAVI Aabolee 44% 40% 14% 2% - - -
138 SCHOEW Margot 8% 35% 37% 16% 3% - -
139 LI Alexis 7% 26% 35% 23% 7% 1% -
140 LAURI Keira 2% 15% 35% 33% 13% 2% -
141 SADANI Jyotika 35% 44% 18% 3% - -
142 LAGOON Miriam 41% 43% 14% 2% - -
143 NATHANSON Sammy E. - 4% 22% 41% 27% 6%
144 TA-ZHOU Emma 25% 41% 26% 7% 1% -
145 FAVO Isabella - 6% 22% 36% 26% 8% 1%
146 UEMOTO Lynn 32% 41% 21% 5% 1% - -
147 LITTLE Avery 6% 25% 36% 24% 7% 1% -
147 TENG EMMA - 17% 39% 31% 10% 1% -
149 KIM Elyssa 43% 42% 13% 2% - - -
150 LIU Kelly 14% 35% 33% 14% 3% - -
151 HORVITZ Jacqueline 15% 38% 33% 12% 2% - -
152 BUHAY Kirsten M. 2% 17% 40% 31% 10% 1% -
152 ALAMI Amira 45% 40% 13% 2% - - -
154 SUHALIM Maree 5% 66% 26% 4% - - -
155 ONG Lauren 54% 37% 8% 1% - - -
156 CHI Claire 36% 45% 17% 3% - - -
157 GOLDIN Nina - 5% 21% 36% 28% 9% 1%
158 BROWNER June 26% 43% 24% 6% 1% - -
159 FREEMAN Armine 4% 33% 40% 19% 4% - -
160 NEWMARK Ellie 61% 32% 6% 1% - - -
161 DEHON Inès 9% 28% 35% 21% 7% 1% -
162 LIN Annika 18% 45% 29% 8% 1% - -
163 KIM Karen 39% 43% 15% 2% - - -
164 BAINS Nandini 53% 38% 9% 1% - -
165 BAERENWALD Welles 18% 44% 30% 7% 1% -
166 VATS Ishita 94% 6% - - -
167 BAIREDDY Maya 40% 42% 15% 3% - - -
168 FANG Sophie 17% 44% 30% 8% 1% -
169 CHAN Madeleine V. 27% 43% 23% 6% 1% - -
170 SMITH Sydney 92% 8% - - - - -
170 MALLAMPATI Jaabili 56% 35% 8% 1% - - -
172 SOUTTER Sandra 92% 8% - - - - -
172 ALDERFER Katherine 75% 23% 2% - - - -
174 BANGALORE Shriya 78% 20% 2% - - - -
175 DONDERIS Katherine 24% 47% 24% 5% 1% - -
176 SWEETLAND Lucy 85% 15% 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.