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(1) Maria Panyi, (2) Andrey Geva, (3) Igor Chirashnya, and (4) Sue Moheb.

March NAC

Y-14 Women's Saber

Monday, March 7, 2022 at 8:00 AM

Richmond, VA, 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 LIU Sophie - - - 3% 15% 40% 42%
2 KIM Marley I. - - 1% 7% 34% 59%
3 LU Elaine - - - 2% 12% 39% 47%
3 WEI JoyAnn - 4% 19% 39% 31% 6%
5 JUNG Irene - - - 1% 9% 36% 55%
6 NATH Trisha - 1% 6% 25% 44% 24%
7 MAKLIN Sofia - - 2% 13% 42% 44%
8 CHEN Kevy - 2% 15% 34% 34% 14% 2%
9 LEE Hannah - - - 2% 14% 41% 43%
10 SO Catelyn - - 3% 13% 32% 37% 15%
11 ZHANG Sophie - 2% 10% 26% 36% 22% 4%
12 PAUL Lila - - - 1% 10% 36% 53%
13 JEONG Katie - 1% 8% 25% 36% 24% 6%
14 SCHIMINOVICH Sophia I. - - 4% 21% 43% 31%
15 DONG Angel 1% 7% 22% 34% 26% 9% 1%
16 KHAN Alissa - - 2% 12% 31% 37% 17%
17 JOHNSON Dagny L. - 1% 7% 26% 43% 23%
18 FEIG Sela - 1% 7% 23% 38% 27% 5%
19 NGUYEN Siena - 1% 10% 31% 37% 18% 3%
20 RAMIREZ Mirka A. 1% 7% 25% 37% 24% 6%
21 ZHANG XUANYI - - 4% 18% 41% 36%
22 DHAR Layla 6% 29% 39% 21% 5% -
23 HU Michelle - 4% 18% 35% 32% 11%
24 MUND Ruth 1% 10% 29% 36% 20% 3%
25 ZENG Sarah - 1% 7% 26% 39% 23% 4%
26 HENRY Soraya S. - 3% 14% 32% 34% 15% 2%
27 TSUI Natalie - - 3% 13% 31% 37% 16%
28 BERMAN greta 1% 8% 27% 39% 21% 4%
29 MARGULIAN Maria 6% 32% 40% 18% 4% -
30 XU Emily T. - 4% 21% 39% 29% 7%
31 DAI Olivia - 6% 22% 35% 26% 9% 1%
32 SHI Julia 2% 10% 27% 34% 21% 6% -
33 NAYAK Esha 1% 9% 25% 34% 23% 7% 1%
34 LEMUS-IAKOVIDOU ALEXANDRA 2% 13% 30% 33% 18% 4%
35 CHRISTOTHOULOU Olympia C. - 2% 13% 33% 37% 15%
36 MCKEE Brynnley - 1% 9% 31% 41% 18%
37 LIM Jaslene - 4% 17% 34% 31% 12% 1%
38 HUANG Rachael - 1% 6% 23% 39% 27% 5%
39 MEDVINSKY Alexandra 1% 11% 31% 37% 17% 3%
40 YANG Lea - 2% 15% 37% 35% 10%
41 HWANG Gabriela M. - - - 1% 11% 38% 49%
42 LIN Nicole - 3% 16% 33% 32% 14% 2%
43 FESTA Carina - 2% 14% 33% 36% 14%
44 WU Helen - 1% 7% 27% 43% 22%
45 CHIARELLI Valentina - 1% 8% 29% 42% 20%
46 TABANGAY Heartlyn - 1% 7% 27% 43% 22%
47 GOMES Diana C. 1% 10% 28% 35% 21% 5%
48 ZHANG Chenfei 1% 10% 29% 37% 20% 4%
49 NICHOLAS Eva 3% 19% 40% 30% 8% 1%
50 ANTHONY Alexia B. - - 1% 8% 29% 45% 17%
51 FERNANDEZ Martina 11% 31% 34% 18% 5% 1% -
52 VINOGOROVA Sofiia - 3% 13% 30% 34% 17% 2%
53 ARNOLD Hali - 1% 5% 19% 35% 30% 9%
54 MYAT Chloe - 5% 23% 37% 27% 8% 1%
55 HAMBAZAZA Liisa - 1% 8% 30% 45% 16%
56 HUAI Delilah - 5% 21% 36% 29% 8%
57 STONE Coral 5% 24% 39% 25% 6% -
58 MARYASH Samantha 1% 7% 23% 35% 27% 8%
59 SCHAIBLE Sofia L. - 1% 10% 29% 38% 20% 3%
60 LATYSHAVA Stephanie 5% 23% 36% 25% 8% 1% -
61 LIU Yifei 1% 8% 24% 34% 25% 8% 1%
62 HAMMERSTROM Aria 2% 18% 40% 29% 9% 1% -
63 FAVO Isabella 19% 42% 30% 9% 1% -
64 LOO Kaitlyn 3% 19% 36% 30% 11% 1%
65 YOUNG Charlotte G. - 1% 7% 25% 39% 25% 4%
66 CHO Michelle 1% 16% 35% 31% 13% 3% -
67 ALTIRS Kate 1% 7% 22% 35% 27% 8%
68 SHEARER Alena 1% 6% 22% 35% 26% 9% 1%
68 GOLDIN Nina - 6% 25% 38% 24% 6% -
70 MERCHANT Aishwarya 1% 6% 21% 34% 27% 10% 1%
71 YU Zhiang - 4% 19% 36% 30% 10% 1%
72 KONDEV Elizabeth 1% 7% 23% 34% 25% 9% 1%
73 WANG Zidan 1% 8% 26% 36% 23% 5%
73 KINKADE Ellie 1% 11% 32% 37% 16% 2%
75 SPEARS Mya B - 3% 17% 38% 33% 9%
76 SENOGLU Irmak 1% 9% 25% 35% 24% 6%
77 YOUNG Audrey 1% 8% 28% 37% 22% 5%
78 LI Alexis 17% 38% 31% 12% 2% - -
79 PANTALEON-MAZOLA Amari 2% 14% 32% 33% 16% 3% -
80 KURAEVA Vasilisa - 4% 17% 32% 31% 14% 2%
81 GAUTAM Sahana - 1% 7% 26% 39% 23% 4%
82 GARRETT Madrid 1% 10% 27% 34% 21% 6% -
83 ELNATAN Mica A. 4% 23% 37% 27% 8% 1%
84 HSU leah 5% 28% 40% 22% 5% -
85 CANSECO Carly 1% 9% 26% 35% 23% 6%
86 CHAN Jolene 1% 9% 25% 35% 24% 6%
86 DANTULURI Shalini 3% 22% 38% 27% 9% 1%
88 LIU Kelly 2% 15% 37% 34% 11% 1%
89 HU Anna 12% 32% 34% 17% 4% -
90 BERNARD Kathryn 2% 15% 35% 33% 14% 2%
91 KHOST Maeve 15% 35% 32% 15% 3% -
91 BERRIOS Catalina 9% 29% 35% 20% 6% 1%
93 CHIANG Melissa 10% 31% 35% 19% 5% 1%
94 SCHOEW Margot 5% 24% 39% 25% 6% 1%
95 MALEK Zolie 5% 23% 39% 26% 7% 1%
96 WANG Jiayi 41% 42% 15% 2% - -
97 MUNGUIA Mila 2% 33% 41% 20% 4% - -
98 HAN Emma 35% 43% 18% 3% - - -
99 TENG EMMA 7% 27% 36% 22% 7% 1% -
100 WANG Callie 8% 28% 35% 21% 6% 1% -
101 TURIANO Nadelle 21% 38% 28% 10% 2% - -
102 CAO Sophie 32% 42% 21% 5% - -
103 BROWN Olivia 1% 9% 26% 35% 23% 6%
104 ZHANG Emily 14% 38% 34% 13% 2% -
105 ARMSTRONG Katherine 5% 27% 41% 22% 5% -
106 CHAVAN Arya 25% 43% 25% 6% 1% -
107 ATTIA Jasmine 40% 41% 16% 3% - -
108 BORGUETA Madison 10% 37% 37% 14% 2% -
109 PADANILAM Lily 22% 42% 28% 8% 1% -
110 NEUMAN Ella 24% 42% 26% 7% 1% -
111 BLAKE Anna 7% 28% 37% 22% 6% 1%
112 BELEV Christa 15% 35% 32% 14% 3% - -
113 DEHON Inès 2% 14% 32% 33% 16% 3% -
114 CHI Claire 14% 35% 33% 15% 3% - -
115 RANDALL-COLLINS Shea M. 5% 26% 39% 23% 6% 1% -
116 BAO Jingxuan 74% 23% 3% - - - -
117 DANTULURI Shivani 9% 33% 37% 17% 4% - -
118 CHO Kaeli M. 8% 39% 38% 13% 2% - -
119 ZHENG Ziqi (Jessie) - 3% 16% 35% 32% 13% 2%
120 ZHOU Ruoxi ( Jasmine) 1% 13% 33% 34% 16% 4% -
121 CHAN Madeleine V. 17% 40% 32% 10% 1% -
122 MANSPERGER Gia 34% 42% 19% 4% - - -
122 POLSTON Ella 8% 30% 36% 19% 5% 1% -
124 WENG Amber 54% 37% 8% 1% - -
125 PROZUMENT Elizabeth 47% 40% 11% 1% - -
125 LEE Tammy 57% 34% 8% 1% - -
127 ROUIS Nina 88% 11% - - - - -
128 KRASOWITZ Lucy 23% 42% 26% 8% 1% - -
129 HO Sophia 68% 29% 3% - - - -

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.