USA Fencing National Championships & July Challenge

Y-14 Women's Saber

Saturday, July 9, 2022 at 8:00 AM

Minneapolis, MN, 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 SCHIMINOVICH Sophia I. - - 1% 6% 25% 44% 25%
2 KRASTEV Minna - - - 1% 6% 31% 63%
3 BEVACQUA Aria F. - - - 1% 8% 35% 55%
3 KER Grace - - - 1% 10% 37% 52%
5 ANDRES Charmaine G. - - - - 4% 27% 69%
6 CHRISTOTHOULOU Olympia C. - - 3% 14% 32% 36% 15%
7 HWANG Gabriela M. - - - 2% 13% 39% 46%
8 XIONG Haojiao - - 1% 11% 33% 40% 15%
9 JUNG Irene - - - 4% 21% 44% 31%
10 LEE Hannah - - - 1% 11% 39% 49%
11 LIU Sophie - - - - 6% 32% 62%
12 ANTHONY Alexia B. - - - 2% 14% 40% 43%
13 YAN Lena 4% 19% 33% 29% 12% 2%
14 DENG Brooke - - 6% 25% 40% 24% 5%
15 JEONG Katie - - 1% 7% 24% 41% 27%
16 LIU Sydney - 2% 11% 28% 34% 20% 5%
17 LU Elaine - - - 2% 14% 42% 43%
18 GHAYALOD Reya - - - - 4% 29% 66%
18 MCKEE Brynnley - 1% 6% 23% 37% 26% 7%
18 NATH Trisha - - 1% 6% 24% 42% 27%
21 PAUL Lila - - - 1% 8% 35% 57%
22 FEIG Sela - - 4% 20% 40% 30% 6%
23 DIECK Miranda P. 17% 38% 31% 11% 2% < 1%
23 XU Emily T. 1% 6% 21% 35% 28% 9%
25 ZHANG XUANYI - 1% 5% 20% 42% 33%
26 TABANGAY Heartlyn - - 1% 7% 26% 44% 23%
27 NGUYEN Siena - 2% 11% 30% 36% 18% 2%
28 SO Catelyn - - 5% 19% 37% 31% 9%
29 MUND Ruth - 2% 12% 30% 36% 18% 3%
30 FERNANDEZ Martina 1% 7% 22% 34% 25% 9% 1%
31 HU Michelle - 1% 10% 30% 40% 18%
32 ZHENG Valentina 1% 10% 31% 35% 19% 4% -
33 HUAI Delilah - - 3% 15% 36% 38% 8%
34 KHOST Maeve 5% 22% 36% 26% 9% 2% -
35 YANG Lea - 1% 5% 18% 34% 32% 12%
36 KONDEV Elizabeth - 3% 14% 35% 34% 13% 1%
37 GAUTAM Sahana - 2% 13% 32% 35% 15% 2%
38 FESTA Carina - 1% 8% 28% 42% 22%
39 MARYASH Samantha - 1% 6% 24% 42% 28%
40 KURAEVA Vasilisa 2% 13% 31% 34% 17% 3%
41 WEI JoyAnn - 4% 19% 38% 31% 8%
42 TSUI Natalie - 1% 7% 24% 42% 27%
43 ZENG Sarah - 3% 14% 31% 35% 16% 2%
44 LIU Yifei - 2% 11% 29% 36% 19% 3%
45 BUHAY Kirsten M. - 3% 13% 32% 35% 16% 2%
46 SCHMIDT Isabel - 1% 6% 21% 37% 28% 7%
47 CHIARELLI Valentina - 1% 7% 24% 38% 26% 5%
48 LEMUS-IAKOVIDOU ALEXANDRA - 1% 7% 23% 39% 27% 3%
49 FLATT Sophia - 1% 13% 35% 35% 13% 2%
50 WANG yining - - 2% 13% 36% 41% 8%
51 DHAR Layla - 4% 18% 36% 32% 10% 1%
52 GOLDIN Nina - 5% 18% 32% 29% 13% 2%
53 JOHNSON Dagny L. - - 1% 7% 25% 41% 25%
54 CHAN Jolene 1% 7% 27% 38% 23% 5%
55 CHEN Kevy - 5% 21% 38% 28% 7%
56 KHAN Alissa - - 3% 14% 32% 36% 14%
57 YOUNG Audrey - 1% 11% 33% 37% 16% 2%
58 HAMBAZAZA Liisa - 2% 11% 27% 34% 20% 5%
59 ARNOLD Hali - 1% 9% 27% 36% 21% 5%
60 LIN Nicole - 3% 12% 29% 34% 19% 4%
61 HALPERIN Elizabeth H. 3% 21% 38% 28% 9% 1% -
62 CANSECO Carly 1% 10% 28% 35% 20% 5% -
63 MEDVINSKY Alexandra - 2% 10% 28% 37% 21% 3%
64 KIM Elyssa 43% 41% 14% 2% - - -
65 YOUNG Charlotte G. - 3% 17% 34% 31% 13% 2%
66 LUKER Sophia - - 2% 11% 34% 40% 13%
67 LOO Kaitlyn 2% 13% 30% 32% 17% 4% -
68 GUVEN Coco - 5% 21% 35% 28% 10% 1%
69 RAMIREZ Mirka A. - 1% 7% 22% 36% 28% 7%
70 ZHANG Emily 17% 38% 31% 12% 2% - -
71 WANG Zidan - 1% 7% 27% 40% 22% 3%
72 LOMOTAN Addison 3% 17% 34% 31% 13% 2% -
73 BERRIOS Catalina 2% 14% 31% 32% 17% 4% -
73 LIM Jaslene - 1% 9% 28% 38% 21% 3%
75 ALTIRS Kate 1% 6% 22% 36% 27% 8% 1%
76 MALEK Zolie 1% 9% 29% 37% 20% 4%
77 HOLMES Sabrina 15% 39% 32% 12% 2% -
78 HAMMERSTROM Aria 7% 34% 38% 17% 3% -
79 ATTIA Jasmine 7% 29% 38% 21% 5% -
80 MANN Sophia J. - 4% 15% 31% 32% 15% 2%
81 SHEARER Alena 3% 15% 33% 32% 15% 3% -
82 STONE Coral - 4% 23% 40% 27% 7% 1%
83 LEE Lauren - 2% 16% 39% 32% 10% 1%
84 HENRY Soraya S. - 3% 14% 31% 33% 16% 2%
85 SHINCHUK Ellisha - 1% 9% 26% 38% 22% 3%
86 LI Alexis 8% 27% 35% 22% 7% 1% -
87 POLSTON Ella 7% 25% 35% 24% 8% 1% -
88 GOMERMAN Sophia 1% 10% 28% 37% 20% 4%
89 YAM Danika - 1% 7% 26% 42% 24%
90 CAO Sophie 33% 43% 20% 4% - -
91 KINKADE Ellie 5% 21% 34% 28% 11% 2%
92 DAI Olivia 3% 16% 34% 32% 13% 2%
93 MYAT Chloe 1% 12% 32% 36% 17% 3%
94 ZHANG Sophie 1% 8% 26% 37% 23% 5%
95 DEHON Inès 5% 22% 34% 27% 10% 2%
96 VINOGOROVA Sofiia 1% 6% 22% 37% 28% 7%
97 JIANG Mu Jia (Michelle) 12% 33% 35% 17% 4% -
98 GRULICH Rayaana 1% 7% 25% 38% 24% 5%
99 FENG Alicia G. 1% 9% 25% 34% 23% 7% 1%
100 DANTULURI Shivani 3% 43% 40% 12% 2% - -
101 CHAVAN Arya 2% 12% 32% 35% 16% 3% -
102 TAN Adelyn 3% 17% 33% 31% 14% 2% -
103 HUANG Rachael - 1% 9% 28% 39% 21% 3%
104 CHOU Zoe 2% 13% 30% 33% 18% 5% -
105 LAGOON Miriam 3% 21% 37% 28% 10% 1% -
106 GOLOVITSER Maya 5% 26% 40% 23% 6% 1% -
107 GUGALA Hanna 3% 15% 31% 31% 16% 4% -
108 WANG Peijia 6% 24% 36% 25% 8% 1% -
108 ZHAI AMY 8% 31% 37% 19% 4% - -
110 PANTALEON-MAZOLA Amari - 4% 25% 40% 24% 6% -
111 FAVO Isabella 8% 32% 37% 18% 4% - -
112 PADANILAM Lily 4% 20% 37% 29% 9% 1% -
113 CHEN Elaine 3% 16% 32% 30% 14% 3% -
113 DUDNICK Morgan 5% 21% 34% 27% 10% 2% -
115 JEFFORDS Sophia 20% 41% 28% 9% 1% - -
115 LO Chloe 2% 13% 30% 34% 18% 3% -
117 BIRNSTILL Reese 20% 39% 29% 10% 2% - -
118 BORGUETA Madison 8% 27% 35% 23% 7% 1% -
119 CHIANG Melissa 2% 15% 35% 32% 13% 2% -
120 DUCKETT Retta 11% 31% 34% 19% 5% 1% -
121 BUSH Bethany 1% 13% 41% 34% 11% 1% -
121 HSU leah 3% 20% 36% 29% 10% 2% -
123 ZOLLER Noelle 1% 10% 29% 35% 19% 5% -
124 WANG Callie 1% 8% 25% 35% 23% 6% -
125 NAYAK Esha 1% 12% 32% 36% 17% 3%
126 HITOMI Nadya 1% 9% 26% 35% 23% 6%
127 SCHOEW Margot 5% 20% 34% 28% 12% 2%
128 SCHAIBLE Sofia L. 5% 22% 36% 27% 9% 1%
129 KORINTH Jacqueline 32% 43% 20% 4% - -
130 BROWNER June 13% 34% 34% 16% 3% -
131 CHO Michelle 5% 23% 38% 26% 8% 1%
132 YAO Rainie 6% 24% 36% 25% 8% 1% -
133 BOYNTON Ainsley 2% 13% 32% 34% 16% 3% -
134 WANG Jiayi 60% 33% 7% 1% - - -
135 CARTER Keely 9% 51% 33% 7% 1% - -
136 RANDALL-COLLINS Shea M. 14% 35% 33% 14% 3% - -
137 CHANG Julia 18% 53% 25% 4% - - -
137 BAROUCH Susanna 10% 35% 36% 15% 3% - -
139 WENG Amber 44% 40% 14% 2% - - -
140 BARROSO Isabela 29% 42% 23% 6% 1% - -
141 LIU Hannah 38% 42% 17% 3% - - -
142 MUNGUIA Mila 15% 35% 32% 14% 3% - -
143 DANTULURI Shalini 7% 25% 35% 24% 8% 1% -
144 CHOU Amy R. 2% 13% 33% 33% 15% 3% -
144 LUKER Hannah 12% 36% 34% 15% 3% - -
146 MERCHANT Aishwarya 1% 9% 28% 36% 21% 5% -
147 NELLIGAN Hutton 50% 37% 11% 2% - - -
148 MONTORIO Lily M. 2% 13% 32% 34% 16% 3% -
149 SRINATH Lyra A. 17% 38% 31% 12% 2% - -
150 ORIA Isabel 76% 22% 2% - - - -
151 LATYSHAVA Stephanie 1% 18% 45% 29% 7% 1% -
152 ELNATAN Mica A. 4% 19% 34% 29% 12% 2% -
153 NICHOLAS Eva 4% 32% 40% 20% 5% 1% -
154 CHO Kaeli M. 57% 35% 8% 1% - -
155 REGANTI Sitara 17% 39% 31% 11% 2% -
156 CHAN Madeleine V. 13% 35% 34% 15% 3% - -
156 SINGER Ellery 37% 42% 17% 3% - - -
156 WILSON Sophie 62% 34% 4% - - - -
159 HU Anna 1% 13% 33% 34% 15% 3% -
160 KIM Karen 5% 20% 34% 28% 12% 2% -
161 JENSEN Katrina 90% 9% - - - - -
161 MUTYALA Jiya 77% 22% 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.