March NAC and Parafencing National Championships

Cadet Women's Saber

Monday, March 6, 2023 at 8:00 AM

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 XIAO julie - - - 4% 20% 42% 34%
2 KIM Marley I. - - - 2% 11% 37% 51%
3 FESTA Carina - - 5% 25% 48% 22%
3 TSUI Natalie - - 3% 20% 45% 32%
5 NATH Trisha - - - 4% 18% 42% 36%
6 MUND Ruth - 1% 4% 15% 32% 34% 15%
7 GHAYALOD reya - - - 5% 29% 66%
8 TSE Angelina - - 1% 10% 33% 41% 16%
9 BEVACQUA Aria F. - - - 1% 6% 32% 61%
10 SCHIMINOVICH Sophia I. - - - 3% 14% 39% 44%
11 KER Grace - - - 2% 12% 39% 48%
12 ANTHONY Alexia B. - - - 3% 17% 42% 37%
13 JUNG Irene - - - 1% 10% 38% 51%
14 LIN Nicole - 1% 9% 27% 37% 21% 4%
15 SO Catelyn - - 4% 20% 43% 33%
16 YAO Rainie 2% 10% 26% 32% 22% 7% 1%
17 ANDRES Charmaine G. - - - - 5% 32% 62%
18 PAUL Lila - - 1% 8% 37% 55%
19 KINKADE Ellie - 4% 16% 31% 30% 15% 3%
20 DAI Olivia 3% 18% 35% 31% 12% 1%
21 XU Emily T. - 8% 31% 39% 19% 3%
22 FAVO Isabella - 2% 13% 32% 35% 16% 2%
23 NGUYEN Siena - - 1% 8% 26% 40% 24%
24 ZHANG Sophie - 1% 5% 21% 38% 29% 6%
25 LIU Yifei - - 4% 23% 46% 26%
26 ATTIA Jasmine 1% 9% 29% 39% 20% 3%
27 RAMIREZ Mirka A. 1% 11% 32% 37% 17% 2%
28 DENG Brooke - - 4% 20% 40% 29% 7%
29 ZHANG XUANYI - - 2% 11% 37% 50%
30 CHIARELLI Valentina - 1% 6% 20% 36% 30% 8%
31 WEI JoyAnn 1% 6% 20% 33% 28% 11% 1%
32 DAMBAL Sasha 1% 10% 26% 34% 22% 7% 1%
33 HUAI Delilah - - 3% 22% 47% 28%
34 LU Elaine - - - 4% 22% 44% 30%
35 HSU leah 1% 7% 26% 37% 23% 6% 1%
36 MARGULIAN Maria 1% 8% 24% 34% 24% 8% 1%
37 LUKER Sophia - - 3% 14% 35% 39% 9%
38 WU Helen - - - 4% 18% 42% 36%
39 YOUNG Charlotte G. - 2% 14% 33% 34% 15% 2%
40 HITOMI Nadya 1% 6% 20% 33% 27% 11% 2%
41 LAURI Keira 9% 29% 36% 21% 5% -
42 DIECK Miranda P. 2% 16% 39% 33% 9% 1%
43 KHAN Alissa - - 4% 18% 36% 32% 9%
44 KONDEV Elizabeth - 1% 8% 23% 35% 26% 8%
45 JEONG Katie - - 4% 15% 32% 34% 14%
46 DANG Kelia - 2% 11% 28% 35% 20% 4%
47 BERMAN greta - 1% 10% 28% 38% 20% 3%
48 YANG Lea - 1% 4% 15% 32% 34% 14%
49 TENG EMMA 7% 25% 35% 24% 8% 1% -
50 LIU Sydney - 1% 8% 25% 37% 24% 5%
51 MAKLIN Sofia - 3% 16% 35% 34% 12%
52 BUHAY Kirsten M. 4% 19% 35% 29% 11% 1%
53 MANKOVA Varvara 2% 19% 39% 30% 10% 1%
54 MARYASH Samantha - 2% 13% 33% 36% 15%
55 TABANGAY Heartlyn - - 2% 13% 44% 42%
56 GUGALA Hanna 1% 7% 22% 34% 26% 9% 1%
57 LOO Kaitlyn 1% 8% 26% 36% 23% 7% 1%
58 LEE Lauren 1% 8% 33% 39% 17% 3% -
59 YAM Danika - 1% 9% 28% 37% 21% 3%
60 SCHAIBLE Sofia L. - 5% 21% 36% 27% 10% 1%
61 LOPEZ-ONA Mia 2% 12% 28% 33% 20% 6% 1%
62 DHAR Layla 2% 18% 42% 30% 7% -
63 CHO Michelle 1% 5% 19% 33% 29% 12% 1%
64 PANTALEON-MAZOLA Amari 2% 12% 29% 33% 19% 5% -
65 JOHNSON Dagny L. - - 1% 8% 35% 57%
66 NAYAK Esha - 4% 17% 33% 31% 13% 2%
67 LEMUS-IAKOVIDOU ALEXANDRA - 1% 6% 22% 36% 28% 7%
68 CHRISTOTHOULOU Olympia C. - 1% 6% 28% 44% 21%
69 MONTORIO Lily M. - 8% 28% 38% 22% 4%
70 ZENG Sarah 2% 15% 34% 33% 13% 2%
71 LITTLE Avery - 5% 27% 41% 21% 4% -
71 VINOGOROVA Sofiia - 3% 12% 27% 33% 20% 5%
73 HAMBAZAZA Liisa - 2% 9% 24% 34% 24% 6%
74 SHINCHUK Ellisha - 3% 13% 30% 35% 17% 2%
75 ZHOU Ruoxi ( Jasmine) 2% 12% 28% 33% 19% 5% -
76 LIM Jaslene - 1% 8% 27% 42% 22%
77 GUVEN Coco 1% 11% 31% 38% 18% 2%
78 HUANG Rachael - 2% 14% 36% 37% 12%
79 CANSECO Carly 3% 20% 38% 29% 9% 1%
80 GAUTAM Sahana - 2% 14% 39% 37% 8%
81 MALEK Zolie - 2% 16% 43% 31% 7%
82 KURAEVA Vasilisa - 4% 22% 42% 27% 4%
83 MANN Sophia J. - 2% 10% 28% 36% 21% 4%
84 GOLDIN Nina - 4% 17% 31% 30% 15% 3%
85 KNOBEL Sophia 1% 10% 30% 36% 19% 4% -
86 LO Chloe 2% 14% 34% 33% 14% 3% -
86 CHIANG Melissa 1% 9% 25% 33% 23% 8% 1%
88 PROBASCO Leila 4% 20% 35% 28% 11% 2% -
89 WANG Zidan 1% 9% 25% 34% 23% 7% 1%
90 LEE Irene 6% 24% 34% 25% 9% 2% -
91 PADANILAM Lily 8% 27% 36% 22% 6% 1% -
92 STONE Coral 1% 10% 27% 34% 21% 6% 1%
93 LEOU Korina 2% 13% 31% 34% 17% 3% -
93 XIE Nora 3% 17% 35% 30% 12% 2% -
95 LOMOTAN Addison 3% 16% 31% 30% 15% 4% -
96 GOMES Diana C. 1% 12% 31% 34% 17% 4% -
97 MERMEGAS Olivia 20% 39% 29% 10% 2% - -
98 SENOGLU Irmak - 2% 12% 33% 38% 15%
99 HORVITZ Jacqueline 37% 45% 16% 2% - -
100 YOUNG Audrey - 6% 24% 40% 26% 4%
101 KRIVOSHEEV Alexandra - 7% 29% 40% 20% 3%
102 ZOLLER Noelle 5% 21% 36% 28% 10% 1%
103 FERNANDEZ Martina - 5% 23% 42% 26% 5%
104 GOLOVITSER Maya 2% 17% 37% 32% 11% 1%
105 GARRETT Madrid 2% 14% 38% 35% 10% 1%
106 KALINICHENKO Yekaterina 24% 45% 25% 5% - -
107 KAPLAN Gabriela 13% 39% 34% 12% 2% -
107 LATYSHAVA Stephanie 4% 27% 46% 20% 3% -
109 FREEMAN Armine 6% 29% 41% 20% 4% -
110 MAGITSKY Leila 31% 45% 21% 4% - -
111 ONG Lauren 66% 29% 5% - - -
112 JEFFORDS Sophia 2% 15% 34% 32% 14% 3% -
113 TA-ZHOU Emma 7% 25% 35% 23% 8% 1% -
114 LIN Annika 7% 26% 36% 23% 7% 1% -
115 CHEN Kevy 1% 6% 21% 35% 28% 9% 1%
116 LI Sonia 6% 22% 34% 26% 10% 2% -
117 ZHAI AMY 2% 18% 36% 30% 12% 2% -
118 CROOKS Riley 13% 33% 32% 16% 4% 1% -
119 MEDVINSKY Alexandra 1% 7% 23% 34% 25% 8% 1%
120 BAINS Nandini 24% 42% 26% 7% 1% - -
121 CHAVAN Arya 2% 10% 26% 33% 21% 7% 1%
122 CHAN Madeleine V. 7% 29% 37% 21% 5% 1% -
123 LIU Hannah 7% 25% 35% 23% 8% 1% -
124 TAN Kylie 15% 35% 32% 14% 3% - -
125 HAMMERSTROM Aria 9% 34% 37% 17% 3% -
125 GALYEMSKA Viktoriya 11% 32% 34% 18% 4% -
127 LUKER Hannah 7% 41% 37% 13% 2% -
127 BAIREDDY Maya 41% 41% 15% 3% - -
129 PROZUMENT Elizabeth 16% 38% 32% 12% 2% - -
130 MANI Francesca B. 1% 6% 21% 34% 28% 10% 1%
131 HALPERIN Elizabeth H. 5% 21% 33% 27% 12% 3% -
131 MERCHANT Aishwarya 4% 17% 31% 29% 15% 4% -
133 HAN Emma 28% 52% 18% 2% - - -
134 WENG Amber 19% 38% 29% 11% 2% - -
135 XU Kaylyn 22% 45% 27% 6% - -
136 HUANG Neila 23% 44% 26% 6% - -
137 CAO Sophie 3% 23% 40% 27% 8% 1%
138 WANG Callie 2% 14% 32% 34% 15% 2%
139 ZAWADA Milena 19% 47% 28% 5% - -
140 CHAN Jolene - 5% 21% 35% 28% 10% 1%
141 FENG Alicia G. 1% 7% 24% 36% 25% 8% 1%
142 BORGUETA Madison 22% 38% 28% 10% 2% - -
143 DEHON Inès 3% 22% 38% 27% 9% 1% -
144 SHMULER Fiona 50% 38% 10% 1% - - -
145 PABIAN Emilia - 2% 12% 31% 35% 17% 3%
146 TAN Adelyn 1% 10% 28% 36% 21% 4% -
147 DUDNICK Morgan 5% 27% 38% 23% 6% 1% -
148 HU Anna 4% 19% 34% 29% 12% 2% -
149 ZHANG Emily 22% 42% 27% 8% 1% - -
150 SHEN Emily 7% 32% 37% 19% 5% 1% -
151 BANGALORE Shriya 54% 37% 8% 1% - - -
152 DONDERIS Katherine 3% 17% 34% 31% 13% 2% -
153 SADANI Jyotika 45% 43% 11% 1% - -
154 MCGRAW Sadie 16% 36% 31% 13% 3% - -
155 DANTULURI Shalini 4% 23% 39% 26% 7% -
156 LAGOON Miriam 11% 32% 35% 18% 4% -
157 DANTULURI Shivani 35% 43% 18% 3% - -
157 SULLIVAN Siobhan 71% 26% 3% - - -
159 NGUYEN Madeleine 19% 41% 29% 9% 1% - -
159 ASHTIANI Shaya 40% 42% 16% 3% - - -
161 WANG Peijia 6% 23% 34% 25% 10% 2% -
162 KIM Elyssa 24% 48% 24% 4% - -
163 ZHOU Ziling 62% 31% 6% 1% - - -
164 KIM Karen 44% 44% 10% 1% - - -
164 MALLAMPATI Jaabili 7% 24% 34% 24% 9% 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.