March NAC and Parafencing National Championships

Y-14 Women's Saber

Sunday, March 5, 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 TSUI Natalie - - 1% 10% 32% 45% 12%
2 ZHANG XUANYI - - - 3% 16% 41% 40%
3 LIU Sydney - 2% 11% 32% 39% 16%
3 CHIARELLI Valentina - - 1% 8% 26% 40% 24%
5 JEONG Katie - - 2% 10% 27% 39% 22%
6 TSE Angelina - - - 3% 14% 39% 44%
7 GAUTAM Sahana - - 1% 9% 29% 40% 20%
8 BLAKE Anna - 4% 21% 42% 27% 6%
9 TABANGAY Heartlyn - - - - 4% 27% 68%
10 LIM Jaslene - - 1% 5% 20% 42% 32%
11 LIU Yifei - - - 1% 11% 39% 49%
12 LEMUS-IAKOVIDOU ALEXANDRA - - 4% 22% 45% 29%
13 DENG Brooke - - 5% 24% 43% 27%
14 GUGALA Hanna - - 3% 20% 41% 29% 6%
15 MUND Ruth - - 1% 5% 20% 41% 33%
16 BUHAY Kirsten M. - 2% 13% 34% 37% 13%
17 HUAI Delilah - - 1% 7% 25% 41% 25%
18 DANG Kelia - 2% 13% 33% 37% 14%
19 SENOGLU Irmak - - 1% 6% 22% 41% 30%
20 YAM Danika - 1% 5% 19% 35% 31% 10%
21 CANSECO Carly 1% 5% 19% 33% 29% 12% 2%
22 FERNANDEZ Martina - 1% 8% 26% 41% 24%
23 YOUNG Charlotte G. - 2% 11% 30% 38% 19%
24 ARNOLD Hali - 2% 11% 31% 36% 17% 3%
25 WEI JoyAnn - - 2% 11% 32% 39% 16%
26 VINOGOROVA Sofiia - - 3% 13% 30% 36% 18%
27 ZENG Sarah - - 3% 15% 34% 36% 12%
28 KONDEV Elizabeth - 1% 9% 29% 41% 20%
29 CHIANG Melissa 1% 11% 30% 35% 19% 4%
30 CHAN Jolene 1% 7% 24% 36% 24% 6% 1%
31 ATTIA Jasmine - 4% 17% 32% 30% 14% 2%
32 GARRETT Madrid - 1% 9% 26% 36% 22% 5%
33 MAKLIN Sofia - - - 3% 17% 41% 39%
34 PABIAN Emilia - 2% 12% 31% 38% 17%
35 SCHAIBLE Sofia L. 1% 5% 17% 31% 30% 15% 3%
36 TAN Adelyn - 2% 12% 28% 34% 19% 4%
37 DAMBAL Sasha - - 3% 18% 40% 32% 7%
38 BERMAN greta - - 1% 5% 22% 42% 30%
39 HUANG Rachael - 1% 8% 27% 38% 23% 4%
40 WANG Callie - - 2% 12% 32% 38% 16%
41 KNOBEL Sophia 1% 7% 24% 38% 25% 5%
42 CHEN Kevy 1% 7% 24% 37% 26% 6%
43 YOUNG Audrey - 5% 19% 36% 31% 9%
44 CROOKS Riley 1% 7% 24% 37% 24% 7% 1%
45 MISHEV Lila - 5% 20% 35% 29% 10% 1%
46 MERCHANT Aishwarya 2% 12% 30% 34% 18% 4% -
47 KRIVOSHEEV Alexandra - 3% 14% 32% 33% 16% 3%
48 ZHU TINGYI - - 1% 6% 22% 40% 30%
49 KHOST Maeve 3% 17% 33% 31% 14% 3% -
50 TENG EMMA 3% 15% 31% 31% 16% 4% -
51 LUKER Hannah 9% 39% 36% 13% 2% -
52 ZHOU Ruoxi ( Jasmine) 1% 10% 30% 37% 19% 4%
52 LIN Nicole - 2% 12% 34% 38% 15%
54 ZOLLER Noelle - 4% 18% 36% 31% 10%
55 GUVEN Coco - 4% 20% 39% 30% 7%
56 DEHON Inès 1% 8% 26% 37% 23% 5%
57 LOMOTAN Addison 1% 7% 20% 32% 27% 11% 2%
58 CONG Anne - 3% 14% 31% 34% 16% 1%
59 LO Chloe 1% 8% 24% 34% 24% 9% 1%
60 KURAEVA Vasilisa - 1% 8% 27% 38% 22% 4%
61 WANG Peijia 4% 20% 36% 29% 11% 1%
62 XIE Nora 3% 18% 33% 29% 14% 3% -
63 KALINICHENKO Yekaterina 16% 37% 32% 13% 3% - -
64 BERRIOS Catalina 2% 11% 27% 32% 21% 7% 1%
65 FAVO Isabella - 1% 7% 26% 42% 24%
66 DANTULURI Shalini - 2% 11% 28% 34% 20% 4%
67 LIU Hannah 3% 16% 30% 30% 16% 4% -
68 TA-ZHOU Emma 1% 11% 31% 34% 18% 4% -
69 SENGUPTA Jia 1% 8% 25% 36% 24% 7% 1%
70 MALEK Zolie - 1% 7% 29% 44% 20%
71 GOLDIN Nina - 1% 8% 26% 37% 23% 5%
72 PANTALEON-MAZOLA Amari - 1% 10% 27% 36% 21% 4%
73 STONE Coral - 1% 9% 26% 36% 23% 5%
73 MEDVINSKY Alexandra - - 4% 18% 36% 32% 10%
75 HSU leah - 2% 10% 28% 36% 20% 4%
75 LATYSHAVA Stephanie - 2% 18% 41% 30% 8% 1%
77 HU Anna - 2% 12% 31% 35% 17% 3%
78 LEE Alyson 1% 6% 21% 33% 27% 10% 1%
79 LOO Kaitlyn - - 4% 18% 37% 32% 9%
80 ZHAI AMY 1% 7% 22% 34% 26% 9% 1%
81 WANG Jiayi 11% 30% 34% 19% 5% 1% -
82 CAO Sophie - 3% 14% 32% 33% 15% 2%
83 CHAN Madeleine V. 3% 20% 42% 28% 7% 1%
84 MANN Sophia J. - 2% 13% 35% 37% 12%
85 HUGHES-WILLIAMS Adelayde 1% 11% 30% 35% 19% 4%
86 KINKADE Ellie - 3% 14% 34% 36% 13%
87 CAI Veronica 10% 35% 36% 16% 3% -
88 WANG JiaQi - 3% 16% 33% 32% 14% 2%
89 MERMEGAS Olivia 6% 24% 35% 25% 9% 2% -
90 MEYERSON Michelle 2% 15% 33% 32% 15% 3% -
91 HAMMERSTROM Aria 2% 12% 28% 33% 20% 5% -
92 CHAVAN Arya 1% 8% 25% 35% 23% 6% 1%
93 PROZUMENT Elizabeth 17% 37% 31% 13% 3% - -
94 MANI Francesca B. - 2% 12% 29% 35% 19% 4%
95 FOSS Persephone 12% 32% 34% 18% 5% 1% -
96 LI Sonia 1% 10% 27% 34% 21% 6% 1%
97 PROBASCO Leila 3% 15% 30% 31% 16% 4% -
97 TONG Laurie 7% 29% 37% 21% 5% 1% -
99 LOURENCO Alexandra 4% 21% 35% 28% 11% 2% -
100 FREEMAN Armine 2% 13% 32% 34% 17% 3%
101 SUNG Isabella 18% 38% 31% 12% 2% -
102 BAIREDDY Maya 15% 38% 33% 12% 2% -
103 XU Kaylyn 12% 35% 36% 14% 2% -
104 KWON Ava 2% 13% 31% 34% 16% 3%
105 GAIKWAD Ashmiee 2% 17% 39% 31% 10% 1%
106 KU Alathea-Joy 6% 26% 38% 23% 6% 1%
107 DUDNICK Morgan 1% 6% 20% 33% 28% 11% 2%
108 HORVITZ Jacqueline 30% 44% 21% 5% - - -
109 CHEN Elaine 3% 15% 30% 30% 16% 4% -
109 FUNG Iris 5% 21% 35% 28% 10% 1% -
111 DIECK Miranda P. 1% 9% 24% 33% 24% 8% 1%
112 HUANG Neila 10% 33% 36% 17% 4% - -
113 GONZALEZ Veronika 1% 6% 23% 36% 25% 8% 1%
114 LIN Elaine 1% 6% 20% 33% 28% 11% 2%
115 LEOU Korina 2% 11% 28% 33% 20% 6% 1%
115 SHEN Emily 2% 13% 36% 33% 13% 2% -
117 PADANILAM Lily 1% 7% 22% 35% 26% 8% 1%
118 IANNUZZI Lucy 23% 42% 26% 7% 1% -
119 MOON Claire 17% 46% 29% 7% 1% -
120 LEI Zitong (Meya) 1% 5% 19% 33% 29% 12% 2%
121 KIM Karen 27% 41% 24% 7% 1% - -
122 FAN Alexandria 8% 27% 35% 22% 7% 1% -
123 BORGUETA Madison 1% 12% 32% 34% 17% 4% -
124 KANG Ellie 1% 8% 24% 33% 24% 8% 1%
125 NGUYEN Madeleine 9% 27% 34% 22% 7% 1% -
126 XIONG Alina 3% 17% 34% 31% 13% 3% -
127 YUEN Nicole 31% 45% 20% 4% - - -
128 WENG Amber 18% 39% 30% 11% 2% - -
129 LIN Annika 1% 8% 24% 35% 25% 7% -
130 ZHAN Sophie - 3% 16% 34% 33% 13% 2%
131 HILD Anya 8% 29% 38% 20% 5% 1% -
132 ZENG Xinyi 3% 16% 32% 30% 15% 3% -
133 SONG Emily 28% 56% 14% 1% - - -
134 HALPERIN Elizabeth H. 1% 12% 33% 35% 16% 3%
135 AWAD Royce 6% 26% 37% 23% 7% 1%
136 CASTELO Soleil 10% 33% 36% 17% 4% -
137 SEBASTIAN Ava 33% 42% 20% 4% - -
138 NAIR Supriya 11% 32% 35% 18% 4% -
138 MAGITSKY Leila 18% 40% 31% 10% 1% -
140 KITSON Sasha 21% 41% 28% 9% 1% - -
141 LIU kai yin aria 33% 42% 20% 4% - - -
142 LIANG Claire 13% 34% 33% 16% 4% - -
142 KAUL Tara - 7% 39% 38% 14% 2% -
144 YE Madeleine 21% 40% 28% 9% 1% - -
145 WONG Charlene 59% 33% 7% 1% - - -
145 BROWN Aria 34% 41% 20% 5% 1% - -
147 CHERON Helene 26% 46% 23% 5% - - -
148 DOLEV Rony 3% 22% 37% 27% 9% 2% -
149 LEE Irene 5% 24% 39% 25% 7% 1% -
149 MACKAY Katherine 14% 37% 34% 13% 2% - -
151 ZHANG Emily 12% 35% 35% 15% 3% -
152 HAN Emma 40% 42% 15% 3% - -
153 SEO Yunseo 55% 40% 5% - - - -
154 RANJAN Diya 16% 41% 32% 10% 1% - -
155 ZAWADA Milena 33% 42% 20% 5% 1% -
156 KWON Ava 54% 37% 8% 1% - -
157 LEE Kaitlin 46% 39% 12% 2% - - -
157 SHMULER Fiona 19% 38% 29% 11% 2% - -
159 JUNG Sienna 44% 42% 12% 1% - -
160 KONZEN Iris 16% 39% 32% 12% 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.