March NAC

Y-14 Women's Saber

Friday, March 1, 2024 at 8:00 AM

Oregon Convention Center - Portland, OR, 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 ZHANG XUANYI - - - - 3% 24% 72%
2 HUAI Delilah - - - - 3% 25% 72%
3 LIU Yifei - - - 2% 12% 39% 46%
3 FAVO Isabella - - - 1% 9% 36% 54%
5 PANTALEON-MAZOLA Amari - - 3% 15% 35% 36% 13%
6 CHAVAN Arya - - 3% 21% 47% 29%
7 BERMAN greta - - 1% 4% 19% 41% 36%
8 GAUTAM Sahana - - - 2% 15% 45% 37%
9 SCHMIDT Isabel - - - 2% 11% 37% 50%
9 AWAD Royce - - 2% 15% 41% 36% 5%
11 ARNOLD Hali - - - 3% 18% 44% 35%
12 MALEK Zolie - - 1% 6% 22% 41% 31%
13 GONZALEZ Veronika - 1% 6% 25% 41% 23% 4%
14 KURAEVA Vasilisa - 2% 13% 34% 37% 13%
15 KINKADE Ellie - 2% 11% 30% 38% 18%
16 FOSS Persephone 1% 8% 23% 34% 25% 8% 1%
17 SENOGLU Irmak - - - 1% 11% 42% 46%
18 HAMMERSTROM Aria - - 1% 9% 29% 42% 19%
19 WANG Callie - - 2% 16% 45% 37%
20 SHEARER Alena - 1% 5% 20% 38% 31% 6%
20 LEE Alyson - - 4% 20% 40% 30% 5%
20 LI Sonia - 5% 18% 33% 30% 12% 2%
23 FERNANDEZ Martina - - - 3% 14% 39% 45%
24 GOLDIN Nina - - 1% 7% 27% 46% 19%
25 YOUNG Charlotte G. - - 2% 14% 38% 37% 8%
26 CONG Anne - 1% 4% 17% 34% 33% 12%
27 LIU Kelly - 1% 8% 24% 36% 25% 5%
28 CHIARELLI Valentina - - - 2% 14% 41% 42%
29 JIANG Evelyn - 2% 13% 30% 34% 18% 3%
30 KAUL Tara 2% 13% 31% 35% 17% 3% -
31 KIM Satie 1% 8% 24% 35% 24% 7% 1%
32 ZHU TINGYI - - 4% 17% 37% 34% 9%
33 CHAN Jolene - - - 5% 23% 47% 24%
34 DHAR Layla - - 4% 20% 44% 32%
35 DANTULURI Shalini - - - 2% 13% 39% 45%
36 VINOKUR Anita - 1% 6% 21% 37% 29% 6%
37 KANG Ellie - - 3% 14% 32% 36% 15%
38 MUNGUIA Mila - 1% 7% 24% 38% 25% 6%
39 LIN Annika 3% 17% 34% 31% 13% 2%
40 LIN Elaine - - 3% 20% 47% 30%
41 BUSH Bethany - 4% 19% 35% 31% 10%
42 HUGHES-WILLIAMS Adelayde - - 6% 28% 46% 20%
43 GUGALA Hanna - - 1% 7% 29% 44% 18%
44 KRIVOSHEEV Alexandra - 2% 11% 31% 37% 17% 3%
45 MAK Kaitlin - 3% 15% 31% 32% 15% 3%
46 ZENG Sarah - - 1% 5% 20% 41% 34%
47 KU Alathea-Joy 2% 11% 28% 33% 20% 5% -
47 NADKARNI Marisa - 4% 18% 34% 30% 12% 2%
47 SINGER Ellery 1% 10% 28% 35% 20% 5% -
50 TIAN Cynthia - 5% 25% 40% 24% 5% -
51 HAN Emma 1% 6% 20% 33% 28% 11% 2%
52 HSU Leah - - 1% 10% 32% 40% 17%
53 STADNIK Emilia - 1% 8% 29% 42% 19% 2%
53 GAIKWAD Ashmiee - 1% 6% 26% 39% 23% 5%
55 SUNG Olivia 9% 28% 35% 21% 6% 1% -
56 FAN Alexandria 2% 12% 27% 32% 20% 6% 1%
57 MOON Claire 4% 17% 32% 30% 14% 3% -
58 YUEN Nicole 1% 8% 30% 40% 19% 3%
59 LEOU Korina - - 1% 8% 27% 41% 22%
60 WEI JoyAnn - - 1% 8% 27% 41% 22%
61 DHAR Rana 2% 14% 31% 32% 17% 4% -
62 YAN Angela 1% 7% 24% 36% 25% 7% -
63 STONE Coral - 1% 8% 30% 43% 18%
64 KWON Ava - 1% 7% 25% 40% 24% 4%
65 LOO Kaitlyn - 5% 19% 36% 31% 9%
66 WANG Yixuan - - - 2% 15% 44% 39%
67 CHIANG Melissa - - 1% 5% 22% 44% 28%
68 LIU Hannah - - 3% 14% 32% 36% 15%
69 WANG JiaQi 1% 5% 21% 36% 27% 9% 1%
70 LIU Hannah 2% 14% 30% 32% 17% 4% -
71 ZHAI AMY - 4% 15% 31% 32% 15% 2%
72 MERCHANT Aishwarya - - 1% 10% 32% 40% 17%
73 BLAKE Anna 1% 6% 21% 34% 28% 10% 1%
74 HU Anna - 1% 6% 23% 38% 26% 6%
75 BROWN Aria 2% 15% 38% 34% 11% 1%
76 FUNG Iris 1% 10% 30% 37% 18% 3%
77 XU Elaine 2% 20% 44% 28% 6% -
78 CHOI Charlotte 1% 10% 36% 38% 14% 2%
79 WANG Jiayi - 3% 15% 34% 33% 13% 2%
79 KIM Audrey 1% 8% 27% 38% 21% 5% -
81 VINOGOROVA Sofiia - - - 1% 9% 36% 54%
82 HALPERIN Elizabeth H. - 2% 13% 31% 34% 17% 3%
83 FENG Alicia G. - 4% 16% 31% 32% 15% 2%
83 MOK Charlotte - - 6% 25% 39% 25% 5%
85 ZHU Avril - 4% 17% 34% 32% 12% 1%
86 KIRBY Skye 27% 45% 22% 4% - - -
87 PARK Haylie 4% 17% 33% 30% 13% 3% -
87 LEMMEN Jasmijn 10% 30% 34% 19% 5% 1% -
89 MAO Elsa 21% 46% 26% 6% 1% - -
90 WONG Natalie 4% 19% 34% 29% 12% 2% -
91 HUANG Neila 1% 6% 23% 35% 26% 9% 1%
91 KIM Saeren 2% 14% 34% 33% 14% 2% -
93 CHERON Helene 1% 10% 28% 34% 20% 6% 1%
94 YU Skylar - 4% 21% 41% 27% 6% -
95 NGUYEN Summer 1% 6% 21% 33% 27% 10% 1%
96 GAY Sasha - 2% 11% 28% 35% 20% 4%
97 MAO anna 4% 20% 36% 28% 10% 2% -
98 REN Katherine 1% 11% 28% 34% 20% 5% 1%
99 SUNG Isabella 1% 8% 33% 40% 16% 2%
100 TONG Laurie - 6% 27% 43% 21% 3%
101 CASTELO Soleil 5% 23% 37% 26% 9% 1%
102 BAERENWALD Welles 2% 13% 31% 34% 17% 3%
103 INSALACO Margo 29% 41% 23% 6% 1% - -
104 WONG Charlene 4% 22% 37% 27% 9% 1% -
105 SHEN Emily 4% 21% 35% 27% 11% 2% -
106 KIM Karen 1% 7% 24% 36% 24% 7% -
107 NIU Jessica 1% 10% 25% 33% 22% 7% 1%
108 ZHU Elaine 1% 10% 27% 34% 21% 6% 1%
109 MACKAY Katherine 2% 14% 33% 33% 15% 3% -
110 DOLEV Rony 2% 11% 30% 35% 18% 3% -
111 BORTAI Eliza 11% 41% 37% 10% 1% - -
112 ZHANG Ashley - 6% 28% 40% 22% 4% -
113 SENGUPTA Jia 2% 15% 39% 33% 10% 1% -
114 GONG Joy - 2% 13% 31% 35% 17% 2%
115 CHANG Annette 1% 14% 36% 33% 13% 2% -
116 LEE Kaitlin 11% 34% 35% 17% 3% - -
117 MISHEV Lila - 5% 22% 38% 27% 8% 1%
118 CHOWDHERY Myra 8% 34% 37% 17% 4% - -
119 YU Stella 8% 30% 37% 20% 5% - -
120 WANG Tina 1% 7% 24% 36% 24% 7% -
121 HSIEH Lucia 16% 36% 31% 13% 3% - -
122 FLEEGER Sophia 10% 37% 39% 12% 2% - -
123 HO Sophia 6% 28% 39% 21% 5% - -
124 LU QIWEN 47% 41% 10% 1% - -
125 MEYERSON Michelle 1% 5% 18% 32% 30% 13% 2%
126 RANDALL-COLLINS Shea M. 2% 11% 28% 34% 20% 5% 1%
127 TA-ZHOU Sophia 24% 41% 26% 8% 1% - -
128 WANG Emily 40% 44% 14% 2% - - -
129 OCA Merci 3% 19% 36% 29% 11% 2% -
130 RAGHURAMAN Anishka - 2% 12% 30% 37% 18% 2%
131 TISSONE Veronica 3% 29% 40% 22% 5% 1% -
132 BORGUETA Madison 1% 6% 23% 37% 25% 7% 1%
133 MORINAGA Mirai 1% 7% 24% 35% 25% 8% 1%
134 IREGUI Sofia 39% 44% 15% 2% - - -
135 ZAWADA Milena 1% 10% 33% 37% 16% 3% -
136 MEFFORD Isadora 41% 43% 14% 2% - - -
136 WANG Keira 23% 42% 26% 8% 1% - -
138 WANG MONA 16% 38% 32% 12% 2% - -
139 CHANG Kaitlyn 5% 25% 39% 24% 6% 1% -
140 SULLIVAN Madilyn R. 3% 19% 35% 29% 11% 2% -
141 MCCARTHY Nora Louisa Abrous 27% 49% 20% 3% - - -
142 FEENER Paige 17% 39% 31% 10% 2% - -
143 HALPERN Athena 24% 43% 25% 6% 1% - -
144 LI Miranda 7% 27% 37% 23% 6% 1%
145 LAUREYNS Ainsley 14% 42% 33% 10% 1% -
146 LIU kai yin aria 4% 22% 39% 27% 7% 1%
146 MCCORMICK Karley 58% 35% 6% - - -
148 HU Heidi 14% 36% 34% 14% 3% -
149 CAI Joanna 30% 41% 22% 6% 1% -
150 DOSHI Anika 14% 46% 32% 8% 1% -
151 LEI Zitong (Meya) - 5% 22% 39% 26% 7% 1%
152 GONG suri 5% 22% 35% 26% 10% 2% -
153 LI Tiffany 11% 31% 34% 18% 5% 1% -
154 LEE Madeleine 2% 16% 41% 32% 9% 1% -
155 XIAÖ Cindy 2% 14% 36% 34% 12% 2% -
156 HEATH Isabella 10% 30% 34% 20% 6% 1% -
157 LIANG Claire 13% 32% 33% 17% 4% 1% -
158 WONG Cerise 8% 28% 35% 21% 6% 1% -
158 ZHANG Olivia 15% 37% 32% 12% 2% - -
160 CAI Veronica 5% 20% 33% 28% 12% 2% -
161 YE Isabella - 3% 19% 39% 30% 8% 1%
162 MERMEGAS Olivia 1% 10% 29% 36% 19% 4% -
163 KESSLER Amelia 45% 40% 13% 2% - - -
164 JUNG Sienna 36% 41% 18% 4% - - -
165 LONG Jessie 1% 9% 25% 34% 23% 7% 1%
165 MAK Jayden 12% 32% 34% 17% 4% 1% -
167 AKULOVA Eva 37% 45% 15% 2% - - -
168 DUFF Caitlin 39% 41% 17% 3% - - -
169 ROBBINS Adele 15% 50% 29% 6% - -
169 HENRY Erin 54% 38% 8% 1% - -
171 LIU Abigail 35% 41% 19% 4% 1% - -
172 LIQUARD Lea 25% 51% 21% 3% - - -
173 WEST Mia 21% 42% 28% 8% 1% - -
173 PANCHAL Arya 75% 23% 2% - - - -
175 ERPELDING Emily 5% 28% 38% 22% 6% 1% -
176 SUN Angela 49% 38% 11% 2% - - -
177 CHIU Philippa 25% 45% 24% 5% - - -

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.