Division 1 & Para Championships / April NAC

Div I Women's Saber

Friday, April 24, 2026 at 1:00 PM

Greater Richmond Convention Center - 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 SKARBONKIEWICZ Magda - - - - - 4% 96%
2 LIU Sophie - - - 2% 13% 39% 46%
3 JOHNSON Honor - - - - 1% 18% 81%
3 KIM Zoe - - - - 4% 31% 65%
5 BROWN Aria - 5% 20% 36% 30% 10% -
6 SULLIVAN Siobhan R. - - - - 2% 21% 77%
7 LEE Alexandra B. - - - - 2% 21% 77%
8 MCKEE Brynnley - - 2% 14% 43% 42%
9 HUAI Delilah - - - 2% 14% 39% 44%
10 POSSICK Lola P. - - - 1% 18% 81%
11 TSUI Natalie - - 1% 6% 30% 50% 13%
12 LAURI Keira - - 2% 16% 43% 38%
13 GREENBAUM Atara R. - - - - 2% 19% 79%
14 FERNANDEZ Martina - - 4% 20% 42% 33%
15 FOX-GITOMER Chloe N. - - - - 2% 20% 78%
16 SAYLES Nina R. - - - 2% 15% 42% 41%
17 HILD Nisha - - 3% 19% 44% 34%
18 JOHNSON Dagny L. - - 2% 12% 31% 38% 16%
19 JIANG Evelyn - 1% 9% 26% 38% 24% 2%
20 STRZALKOWSKI Aleksandra (Ola) M. - - - - 2% 18% 81%
21 ANDRES Charmaine G. - - - - 4% 27% 68%
22 ZHANG XUANYI - - 1% 6% 22% 41% 30%
23 CASTELO Soleil 2% 15% 33% 32% 15% 3% -
24 MARYASH Samantha - 2% 14% 37% 37% 10%
25 FAVO Isabella 1% 11% 31% 38% 17% 1%
26 KOVACS Sophia - - - - 4% 28% 67%
27 LU Vivian Y. - - - - 1% 23% 75%
28 CHIARELLI Valentina 1% 6% 24% 40% 25% 5%
29 CHANG Norah 2% 14% 32% 33% 16% 4% -
30 WANG Gloria Ruoyan - 2% 15% 38% 35% 9% 1%
31 KU Alathea-Joy 5% 22% 34% 27% 11% 2% -
32 GAY Sasha 2% 12% 29% 34% 19% 4% -
33 ZENG Sarah - 4% 15% 32% 33% 14% 1%
34 KONDEV Elizabeth - 1% 6% 22% 36% 28% 7%
35 GAIKWAD Ashmiee 1% 8% 27% 37% 21% 5% -
36 ZHAO Selena 15% 38% 34% 12% 2% -
37 PAK Kaitlyn - - - - 1% 15% 84%
38 OCA Merci 7% 26% 36% 24% 7% 1% -
39 DHAR Rana 1% 5% 18% 33% 30% 12% 2%
40 KWON Ava 10% 35% 36% 16% 3% - -
41 VADASZ Ibla P. - - 4% 18% 39% 34% 4%
42 WANG Callie - 2% 10% 26% 36% 22% 4%
43 LIN Nicole - 2% 12% 30% 36% 18% 2%
44 PARK Geraldyn Sojung 3% 17% 35% 31% 13% 2%
45 KWON Hannah 2% 12% 31% 35% 17% 3%
46 ANTHONY Alexia B. - 3% 16% 34% 34% 13%
47 LIM Jaslene - 4% 19% 40% 30% 7%
48 FESTA Carina - 1% 10% 33% 41% 15%
49 LU Elaine 1% 5% 21% 36% 29% 8%
50 MANN Sophia J. - - 4% 19% 37% 32% 8%
51 HSU Leah 1% 8% 24% 35% 25% 7% -
52 CHAVAN Arya 3% 14% 30% 32% 17% 4% -
53 LEI Zitong (Meya) 7% 26% 35% 23% 8% 1% -
54 PANTALEON-MAZOLA Amari - 1% 8% 27% 38% 22% 4%
55 KIRBY Skye 27% 41% 24% 7% 1% - -
56 GAUTAM Sahana - 4% 16% 32% 32% 14% 2%
57 JUNG Irene - - 2% 11% 30% 39% 18%
58 SCHMIDT Isabel - 1% 7% 24% 37% 26% 5%
59 BERMAN greta 1% 10% 27% 35% 22% 6% -
59 LIN Elaine 2% 15% 34% 33% 14% 2% -
61 PARK Chloe 20% 39% 29% 10% 2% - -
62 REN Katherine 6% 24% 37% 25% 7% 1% -
63 FEIG Sela - 1% 10% 32% 42% 15%
64 JEONG Katie - 4% 18% 34% 31% 12% 1%
65 LAFFY Lily 23% 41% 27% 8% 1% < 1% -
66 SUNG Olivia 14% 37% 34% 13% 2% < 1% -
67 TABANGAY Heartlyn - 1% 7% 24% 40% 26% 2%
68 VINOGOROVA Sofiia - 1% 5% 20% 39% 31% 5%
69 HU Anna 1% 5% 21% 37% 29% 7%
70 MALEK Zolie 1% 6% 22% 36% 27% 7% -
71 WANG Jiayi 2% 14% 33% 34% 14% 2% -
72 MCAFEE Jada 21% 41% 29% 9% 1% - -
73 BAIK Sarah 4% 17% 32% 30% 14% 3% -
74 FEARNS Zara A. - - 1% 7% 30% 51% 10%
75 BUSH Bethany 3% 15% 31% 32% 16% 4% -
76 MAJEWSKA Maria 14% 39% 34% 12% 2% - -
77 KO Ariel 30% 41% 22% 6% 1% - -
78 BEVACQUA Aria F. - 5% 19% 36% 30% 9%
79 YU Skylar 17% 41% 31% 10% 1% -
80 KIM Saeren 7% 27% 37% 23% 7% 1% -
81 BOYNTON Ainsley - 1% 9% 28% 41% 20% 1%
82 MACKAY Katherine 1% 8% 25% 35% 23% 7% 1%
83 CHOI Charlotte 1% 10% 27% 35% 22% 5% -
83 GONZALEZ Veronika 5% 24% 37% 25% 8% 1% -
85 ZOLLER Noelle - 4% 18% 34% 30% 12% 2%
86 DRAGON Rainer - - 4% 19% 41% 32% 3%
87 HALPERIN Elizabeth H. 6% 23% 34% 25% 10% 2% -
88 TONG Laurie 28% 44% 23% 5% - - -
89 LONG Jessie 5% 23% 36% 26% 9% 1% -
89 XIAO Cindy 9% 30% 36% 20% 5% 1% -
91 GOLOVITSER Maya 4% 19% 34% 29% 12% 2% -
92 LEOU Korina 1% 7% 24% 36% 25% 7% -
93 MUNGUIA Mila 8% 27% 35% 22% 7% 1% -
94 SINGER Ellery 11% 31% 35% 18% 5% - -
95 LIU kai yin aria 1% 7% 24% 36% 25% 6% -
96 NG Sophia 15% 37% 32% 13% 2% - -
97 MEYERSON Michelle 6% 24% 36% 25% 8% 1% -
98 YUEN Nicole 3% 17% 36% 33% 11% -
99 GOLDIN Nina 1% 10% 31% 39% 17% 2%
100 YU Stella 27% 41% 24% 7% 1% -
101 KIM Satie 13% 36% 35% 14% 2% -
102 DUFF Caitlin 15% 39% 33% 11% 1% -
103 TA-ZHOU Emma 9% 29% 36% 20% 5% -
104 BORGUETA Madison 25% 42% 25% 7% 1% -
105 KAUL Tara 3% 16% 34% 32% 13% 2% -
106 YOUNG Charlotte G. 1% 8% 25% 36% 24% 6% -
107 BARROSO Isabela 5% 23% 37% 26% 8% 1% -
108 SCHAIBLE Sofia L. 3% 17% 34% 32% 13% 1% -
109 FUNG Iris 12% 32% 34% 17% 4% 1% -
110 XU Emily T. 5% 22% 36% 27% 9% 1% -
110 LOMOTAN Addison 10% 30% 35% 20% 6% 1% -
110 XIE Nora 14% 37% 33% 13% 2% - -
113 KINKADE Ellie 4% 19% 34% 29% 12% 2% -
114 GUGALA Hanna - 5% 19% 34% 29% 11% 1%
115 CHERUKURI Tanvi 28% 41% 23% 6% 1% - -
115 GENTILE Vittoria 10% 31% 36% 19% 5% - -
117 KNOBEL Sophia 2% 15% 33% 34% 14% 2% -
117 VINOKUR Anita 1% 11% 28% 34% 20% 5% -
117 YADAV Tishya 3% 18% 36% 30% 11% 2% -
120 ARNOLD Hali 1% 7% 23% 35% 26% 8% 1%
121 SHEARER Natalie E. - - 3% 17% 40% 36% 4%
122 DAMBAL Sasha 2% 13% 29% 33% 18% 4% -
123 HEATH Isabella 13% 34% 34% 16% 4% - -
124 DUDNICK Morgan 10% 31% 36% 18% 4% - -
125 ZHAI AMY 14% 35% 33% 15% 3% - -
126 FAN Alexandria 2% 11% 28% 33% 20% 5% -
127 WEI JoyAnn 2% 14% 34% 35% 14% 1%
128 HWANG Charlotte 11% 35% 37% 15% 2% -
128 MAK Kaitlin 7% 27% 37% 22% 6% 1%
130 DAVIDOVA Kira 9% 31% 36% 19% 5% -
131 CHIANG Melissa 15% 39% 33% 11% 2% -
132 NING Lynn 22% 43% 27% 7% 1% -
133 LEE Alyson 8% 31% 39% 18% 4% -
134 DIECK Miranda P. 12% 35% 36% 16% 3% -
135 MUND Ruth 1% 7% 21% 34% 27% 9% -
136 HAMMERSTROM Aria 2% 14% 32% 33% 16% 3% -
137 XIONG Haojiao - 3% 15% 35% 35% 12% 1%
138 AWAD Royce - 5% 23% 40% 26% 5% -
139 GONG Joy 1% 9% 27% 36% 22% 5% -
140 IANNUZZI Lucy 6% 23% 35% 26% 9% 2% -
141 CHAN Jolene 1% 6% 22% 36% 27% 8% -
142 HSIEH Lucia 9% 28% 35% 21% 6% 1% -
143 DANTULURI Shalini 3% 15% 32% 32% 15% 3% -
143 CONG Anne 1% 8% 26% 36% 23% 6% -
145 LIU Hannah 5% 22% 35% 27% 10% 2% -
146 KANG Ellie 1% 9% 26% 35% 23% 6% -
147 NADKARNI Marisa 20% 40% 29% 10% 2% - -
148 BERRIOS Catalina 37% 42% 17% 3% - - -
149 HILD Anya 45% 40% 13% 2% - - -
150 DHAR Layla 1% 9% 27% 36% 22% 5% -
151 CHANG Annette 22% 43% 28% 7% 1% -
152 FOSS Persephone 16% 38% 32% 12% 2% -
153 PABIAN Emilia 10% 30% 35% 19% 5% 1% -
154 DAVIS Jayna M. 8% 29% 37% 20% 5% - -
155 MOON Claire 8% 31% 39% 18% 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.