October NAC

Cadet Women's Saber

Monday, October 10, 2022 at 11:00 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 MIKA Veronica - - - 1% 10% 37% 51%
2 WU Helen - - 4% 18% 38% 32% 7%
3 GHAYALOD reya - - - 3% 14% 39% 44%
3 LIU Sophie - - 1% 6% 28% 43% 22%
5 SHOMAN Jenna - - - - 1% 18% 80%
6 VADASZ Ibla P. - - 3% 16% 44% 37%
7 HWANG Gabriela M. - 1% 5% 23% 44% 27%
8 JEONG Katie - 3% 14% 31% 33% 17% 3%
9 LI Amanda C. - - - - 5% 30% 64%
10 KRASTEV Minna - - - 1% 10% 38% 51%
11 KER Grace - - - 4% 22% 45% 28%
12 YANG Angelina LeLe - 1% 7% 22% 36% 27% 7%
13 XIAO julie - - 2% 17% 40% 33% 8%
14 JOHNSON Dagny L. - - 1% 10% 34% 40% 15%
15 MANSPERGER Leena - 1% 8% 25% 37% 24% 6%
16 BEVACQUA Aria F. - - - 4% 18% 41% 37%
17 ENGELMAN-SANZ Madeline A. - - - - 6% 31% 63%
18 HILD Nisha - - - 5% 21% 42% 31%
19 NATH Trisha - 2% 12% 31% 37% 18%
20 MULAGARI Sadhika 1% 6% 20% 34% 28% 10% 1%
21 CHIN Sophia J. - - - 4% 21% 48% 27%
22 HUNG Anna - 2% 12% 31% 35% 17% 3%
23 SHI Cathleen 1% 7% 24% 36% 25% 7%
24 YUAN Greta - 2% 12% 32% 39% 16%
25 NATHANSON Sammy E. - - 2% 13% 36% 40% 8%
26 CHANG Audrey - 4% 18% 34% 31% 11% 1%
27 FEIG Sela 1% 5% 19% 33% 29% 11% 1%
28 ZHANG XUANYI - - 3% 16% 38% 33% 9%
29 HUAI Delilah - 5% 21% 35% 28% 9% 1%
30 SO Catelyn - 1% 10% 28% 36% 20% 4%
31 ERIKSON Kira R. - - 3% 15% 33% 35% 14%
32 CHEN Ashley - - 4% 20% 40% 28% 6%
33 DUCKETT Madison - - - 1% 10% 37% 52%
34 LU Elaine - - 1% 6% 24% 42% 28%
35 CHRISTOTHOULOU Olympia C. - - 5% 23% 44% 26% 2%
36 FREEDMAN Janna N. - - - - 5% 29% 66%
37 SOURIMTO Valeria - 1% 7% 28% 45% 20%
38 XIONG Haojiao 1% 6% 23% 36% 27% 7%
39 PAUL Lila - - - 2% 16% 46% 36%
40 YANG Ashley M. - - 1% 6% 28% 44% 21%
41 YU Zhiang - 3% 18% 35% 30% 12% 2%
42 LEE Hannah - - - 4% 22% 44% 30%
43 TABANGAY Heartlyn - - 5% 22% 38% 28% 7%
44 MUND Ruth - 1% 8% 31% 42% 16% 2%
45 MANN Sophia J. 2% 11% 27% 33% 20% 6% 1%
46 ANDRES Charmaine G. - - - 3% 16% 41% 40%
47 WIGGERS Susan Q. - - 1% 9% 27% 40% 23%
48 SHEARER Natalie E. - - 1% 7% 29% 43% 21%
49 MARYASH Samantha - 4% 15% 32% 32% 14% 2%
50 LEMUS-IAKOVIDOU ALEXANDRA - 3% 15% 32% 33% 14% 2%
51 RAMIREZ Mirka A. 1% 7% 25% 37% 24% 6% -
52 SENOGLU Irmak - 4% 17% 33% 30% 13% 2%
53 JUNG Irene - 1% 6% 24% 43% 26%
54 SINHA Anika 2% 11% 28% 35% 21% 5%
55 SHTREVENSKY Maria 2% 13% 30% 34% 18% 4%
56 ALCEBAR Kayla - - 3% 14% 33% 36% 14%
57 SCHIMINOVICH Sophia I. - - 2% 12% 31% 38% 17%
58 SHI Julia 1% 6% 20% 33% 28% 10% 1%
59 SCHMIDT Isabel - 2% 10% 26% 36% 22% 4%
60 CHO Michelle 7% 28% 36% 22% 6% 1% -
61 LIU Sydney 1% 9% 29% 37% 20% 4% -
62 DANTULURI Shalini 12% 35% 35% 15% 3% - -
63 MAKLIN Sofia 1% 10% 30% 37% 19% 3%
64 CHEN Jessica 2% 13% 31% 33% 17% 4% -
65 KIM Marley I. - - 2% 12% 32% 38% 16%
66 LUKER Sophia - 1% 7% 25% 38% 24% 5%
67 TONG Jessie - 2% 10% 28% 36% 20% 3%
68 FESTA Carina - 3% 14% 30% 33% 17% 3%
69 BARNOVITZ Maya - 1% 7% 24% 39% 26% 4%
70 LIGH Erenei J. - 1% 8% 25% 37% 24% 5%
71 KONDEV Elizabeth - 1% 11% 39% 36% 12% 1%
72 WEI Vivian W. - - 4% 21% 43% 29% 2%
73 BUSH Bethany 3% 19% 38% 29% 10% 1% -
74 LIN Nicole 2% 12% 31% 34% 17% 4% -
75 DAI Olivia 4% 20% 38% 29% 9% 1% -
76 NAYAK Esha 5% 21% 35% 27% 11% 2% -
77 YOUNG Charlotte G. 3% 17% 35% 32% 11% 1%
78 WANG Zidan 6% 26% 38% 24% 6% 1%
79 SCOTT Eve 8% 29% 38% 21% 5% -
79 BERMAN greta 7% 25% 35% 24% 8% 1%
81 TSUI Natalie 2% 13% 31% 34% 17% 3%
82 PENG Florella - 3% 16% 34% 32% 13% 2%
83 ZOLLER Noelle 6% 26% 38% 24% 6% 1% -
84 MCKEE Brynnley - 2% 13% 32% 35% 16% 3%
85 YANG Lea - 3% 13% 29% 34% 18% 3%
86 HAMMERSTROM Aria 3% 20% 39% 28% 9% 1% -
87 LEE Sophia - 3% 15% 33% 33% 14% 1%
88 ZHANG Chenfei - 6% 24% 41% 24% 5% -
89 LIM Jaslene - 1% 10% 29% 38% 19% 3%
90 LESSARD-KULCHYSKI Khloé - 2% 11% 31% 36% 18% 3%
91 BUHAY Kirsten M. 2% 13% 32% 33% 16% 3% -
92 KHAN Alissa 1% 6% 22% 35% 27% 9% 1%
93 DIECK Miranda P. 1% 12% 41% 35% 10% 1% -
94 MALEK Zolie 5% 20% 34% 27% 11% 2% -
94 ZENG Sarah 1% 13% 36% 34% 14% 3% -
96 LIU Yifei - 4% 18% 37% 31% 9% 1%
96 TAN Adelyn 9% 31% 36% 19% 5% 1% -
98 LO JOCELYN 2% 22% 39% 28% 8% 1% -
99 KUANG TongFei 5% 26% 37% 24% 7% 1% -
100 KINKADE Ellie 11% 33% 34% 17% 4% - -
101 ANTHONY Alexia B. - 1% 7% 26% 44% 23%
102 BALAKUMARAN Maya - 4% 18% 35% 31% 11%
103 SCHAIBLE Sofia L. 15% 40% 33% 11% 1% -
104 GOLOVITSER Maya 29% 43% 23% 5% - -
105 BOYNTON Ainsley 19% 40% 30% 10% 1% -
106 FENG Alicia G. 11% 33% 36% 17% 3% -
107 CANSECO Carly 22% 41% 28% 8% 1% -
108 HALPERIN Elizabeth H. 17% 38% 31% 12% 2% - -
109 CAO Sophie 10% 36% 36% 15% 3% - -
110 VINOGOROVA Sofiia 3% 21% 38% 27% 9% 1% -
111 CHUNG Hailey - 5% 19% 33% 29% 12% 1%
112 CHAPMAN-LAYLAND Astrid M. 2% 12% 30% 33% 18% 4% -
113 NAYAK Indra 1% 6% 22% 35% 27% 8% 1%
114 BAINS Nandini 37% 48% 14% 1% - - -
115 STONE Coral 6% 25% 38% 24% 7% 1% -
116 CHAVAN Arya 12% 36% 35% 14% 2% - -
117 LUKER Hannah 17% 42% 31% 9% 1% - -
118 DHAR Layla 8% 31% 38% 19% 4% - -
119 TUNG Renee 4% 24% 38% 25% 7% 1% -
120 FREEMAN Armine 28% 43% 23% 5% - - -
121 KIM Elyssa 16% 53% 26% 4% - - -
122 HU Michelle - 2% 11% 31% 37% 17% 2%
123 MEDVINSKY Alexandra 3% 18% 38% 31% 9% 1%
124 WEI JoyAnn 10% 30% 35% 19% 5% 1%
124 PABIAN Emilia 36% 41% 18% 4% - -
126 FERNANDEZ Martina 12% 35% 35% 15% 3% -
127 HENRY Soraya S. 3% 18% 38% 31% 9% 1%
128 FLATT Sophia - 3% 23% 43% 26% 5% -
129 ZHOU Ruoxi ( Jasmine) 15% 36% 32% 14% 3% - -
129 MOK Charlotte 5% 22% 35% 26% 9% 2% -
131 JEFFORDS Sophia 5% 29% 47% 17% 2% - -
132 GOLDIN Nina 1% 7% 25% 38% 23% 6% -
133 WANG Callie 9% 29% 35% 20% 6% 1% -
134 GOURNEAU Sophie L. 61% 32% 6% 1% - - -
134 LI Alexis 32% 42% 21% 5% 1% - -
136 CHAN Madeleine V. 21% 42% 28% 8% 1% - -
137 DUDNICK Morgan 24% 45% 25% 6% 1% - -
138 BORGUETA Madison 27% 43% 24% 6% 1% - -
139 LATYSHAVA Stephanie 33% 45% 19% 3% - - -
139 ZHANG Victoria 1% 8% 28% 36% 21% 5% 1%
141 PANTALEON-MAZOLA Amari 12% 32% 33% 17% 5% 1% -
141 TURIANO Nadelle 31% 42% 21% 5% 1% - -
143 CHIARELLI Valentina - 4% 17% 33% 30% 13% 2%
144 YOUNG Audrey 3% 17% 34% 31% 13% 2% -
145 LI Sonia 26% 41% 25% 7% 1% - -
146 CHAN Jolene 3% 19% 37% 30% 10% 1% -
147 LOO Kaitlyn 3% 32% 40% 19% 4% - -
148 KNOBEL Sophia 8% 29% 36% 21% 6% 1% -
149 TREACY Aisling 2% 18% 37% 31% 11% 1% -
150 ELNATAN Mica A. 7% 30% 40% 19% 4% - -
151 NGUYEN Siena 5% 21% 35% 28% 11% 2%
152 KRASOWITZ Lucy 38% 41% 17% 3% - - -
153 BOLTON Eleksi M. 3% 20% 38% 29% 9% 1% -
154 KHOST Maeve 22% 41% 28% 8% 1% - -
155 KRIVOSHEEV Alexandra 4% 22% 36% 27% 9% 1%
156 HAN Emma 79% 20% 2% - - - -
156 ZAWADA Milena 28% 44% 23% 5% - - -
156 LIU Finn 10% 32% 36% 18% 4% - -
159 MERCHANT Aishwarya 5% 21% 34% 27% 10% 2% -
160 ZHANG Emily 52% 37% 10% 1% - - -
161 WILLEY Celeste 27% 48% 22% 3% - - -
161 DANTULURI Shivani 39% 42% 16% 3% - - -
163 ERBSEN Sarah 62% 34% 4% - - - -

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.