National Championships and July Challenge (Summer Nationals)

Div I Women's Saber

Tuesday, July 1, 2025 at 9:00 AM

Baird Center - Milwaukee, WI, USA

Probability density of pool victories

Reset

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 SULLIVAN Siobhan R. - - 1% 10% 53% 37%
2 BEVACQUA Aria F. - - 3% 13% 32% 37% 16%
3 POSSICK Lola P. - - - 1% 8% 33% 58%
3 LAURI Keira - 2% 11% 31% 39% 17%
5 HUAI Delilah - 1% 6% 21% 36% 29% 8%
6 TSUI Natalie - - 3% 15% 32% 35% 14%
7 NATH Trisha - 1% 5% 18% 34% 32% 11%
8 GREENBAUM Atara R. - - - - 3% 25% 71%
9 BOYNTON Ainsley - 3% 14% 31% 34% 16% 2%
10 PAK Kaitlyn - - - - 2% 22% 75%
11 ANDRES Charmaine G. - - 1% 11% 39% 49%
12 LEE Hannah - 3% 17% 36% 33% 10%
13 VINOGOROVA Sofiia - 4% 17% 32% 31% 14% 2%
14 CHRISTOTHOULOU Olympia C. 2% 12% 31% 36% 17% 3%
15 FERNANDEZ Martina 1% 8% 24% 36% 25% 7%
16 JEON Yuju - 1% 8% 25% 37% 24% 4%
17 JUNG Irene - - 1% 6% 22% 40% 30%
18 LU Vivian Y. - - - - 6% 31% 63%
19 VADASZ Ibla P. - - 2% 12% 31% 38% 16%
20 STRZALKOWSKI Aleksandra (Ola) M. - - - 6% 46% 47%
20 DRAGON Rainer - 1% 6% 24% 43% 27%
22 ZENG Sarah 2% 12% 30% 34% 18% 4%
23 LIU Sydney 3% 16% 32% 32% 15% 3%
24 LEOU Korina 2% 11% 27% 32% 20% 6% 1%
25 SHEARER Natalie E. - - 4% 15% 32% 34% 14%
26 KONDEV Elizabeth 2% 13% 30% 32% 18% 5% -
27 LIM Jaslene 2% 11% 29% 34% 20% 5% -
28 YANG Lea - 3% 13% 30% 33% 17% 3%
29 LIU Yifei - 2% 9% 25% 35% 24% 6%
30 BARROSO Isabela 8% 29% 37% 20% 5% -
31 LIU kai yin aria 3% 17% 32% 30% 14% 3% -
32 DAMBAL Sasha 9% 28% 34% 21% 7% 1% -
33 MCKEE Brynnley - - 1% 8% 25% 40% 25%
34 MELNYCHUK Yelyzaveta - - - 3% 15% 41% 41%
35 FEARNS Zara A. - - 4% 16% 35% 34% 10%
35 PAUL Lila - - 4% 15% 33% 35% 14%
35 XIAO julie - - 4% 18% 39% 34% 5%
38 FUNG Iris 5% 21% 35% 27% 10% 2% -
39 LIU Sophie - - - 1% 11% 38% 50%
40 VINOKUR Anita 15% 35% 32% 14% 3% - -
40 LIN Nicole - 3% 15% 32% 33% 15% 2%
42 TANG Zhifei 12% 32% 33% 17% 5% 1% -
43 ANTHONY Alexia B. - 1% 5% 19% 39% 33% 4%
43 SO Catelyn - - 3% 16% 36% 35% 9%
43 MALEK Zolie 1% 8% 22% 33% 25% 9% 1%
46 YU Holly - 5% 17% 31% 30% 15% 2%
47 TABANGAY Heartlyn - 6% 26% 41% 23% 4%
48 SHI Cathleen - 1% 8% 27% 42% 23%
49 CHAVAN Arya 13% 33% 33% 17% 4% 1% -
50 GOLDIN Nina 1% 9% 27% 35% 21% 6% 1%
51 GUVEN Coco 3% 16% 32% 31% 14% 3% -
52 DHAR Rana 7% 25% 36% 23% 8% 1% -
53 FREEDMAN Janna N. - - - 3% 17% 42% 38%
53 HU Anna 1% 9% 25% 34% 23% 7% 1%
55 DHAR Layla 5% 23% 35% 26% 9% 2% -
56 ZOLLER Noelle 6% 24% 35% 25% 9% 2% -
57 KHAN Alissa - 3% 15% 33% 33% 13% 2%
58 KAUL Tara 14% 34% 32% 16% 4% - -
59 LI Sonia 37% 42% 17% 3% - -
60 GRULICH Rayaana 8% 27% 36% 22% 6% 1%
61 MACKAY Katherine 6% 24% 36% 25% 8% 1% -
62 CONG Anne 5% 23% 36% 26% 9% 1% -
63 GAY Sasha 5% 22% 34% 26% 11% 2% -
64 DANG Kelia 1% 8% 24% 34% 25% 8% 1%
65 WEI JoyAnn 1% 7% 23% 34% 25% 9% 1%
66 SHI Julia 1% 11% 29% 35% 19% 4% -
67 SCHMIDT Isabel 1% 6% 21% 35% 29% 9%
68 FESTA Carina - 2% 12% 31% 37% 17%
69 MARYASH Samantha 4% 23% 42% 28% 4% -
70 MIKA Veronica - - 1% 5% 22% 42% 30%
71 KRIVOSHEEV Alexandra 19% 38% 30% 11% 2% - -
72 HILD Nisha - - 2% 12% 29% 38% 19%
73 UEMOTO Lynn 12% 33% 34% 17% 4% - -
74 JOHNSON Dagny L. - 2% 11% 27% 34% 21% 5%
75 NAIR Supriya 10% 31% 35% 18% 4% - -
76 KINKADE Ellie 10% 30% 35% 19% 6% 1% -
77 DANTULURI Shalini 5% 22% 36% 26% 9% 1% -
78 CHEN Ashley - 3% 18% 39% 33% 7%
79 FAN Alexandria 10% 29% 35% 20% 5% 1%
80 LI Alexis 8% 34% 38% 17% 3% -
81 MAKLIN Sofia 8% 32% 41% 18% 1% -
82 KIM Marley I. - 1% 8% 24% 35% 25% 7%
83 TSE Angelina 1% 5% 20% 34% 29% 10% 1%
84 SAYLES Nina R. - - - 3% 15% 40% 43%
85 AWAD Royce 2% 14% 32% 33% 15% 3% -
86 WANG Gloria Ruoyan 1% 8% 25% 36% 24% 6% -
87 ZHENG Valentina 31% 42% 21% 5% 1% - -
88 PABIAN Emilia 6% 24% 34% 25% 9% 2% -
89 YOUNG Charlotte G. 1% 6% 20% 33% 28% 10% 1%
90 CARTER Keely 2% 13% 29% 32% 18% 5% 1%
91 MEDVINSKY Alexandra 6% 26% 36% 23% 7% 1% -
92 HALPERIN Elizabeth H. 15% 37% 32% 13% 3% - -
92 LEI Zitong (Meya) 7% 27% 37% 22% 6% 1% -
92 PANTALEON-MAZOLA Amari 1% 8% 23% 33% 25% 9% 1%
95 MANN Sophia J. 1% 6% 21% 34% 27% 10% 1%
96 WANG Elysia - 2% 11% 28% 35% 20% 4%
97 GHAYALOD reya - 1% 7% 22% 37% 28% 6%
98 HAMMERSTROM Aria 4% 19% 34% 28% 12% 2% -
99 MARTURANO Bridget H. - 1% 8% 23% 35% 25% 7%
100 BUSH Bethany 9% 28% 35% 21% 7% 1% -
101 MERCHANT Aishwarya 6% 26% 38% 24% 6% 1%
102 MUND Ruth 2% 14% 32% 33% 16% 3%
103 ZHANG XUANYI - 6% 23% 39% 26% 6%
104 NGUYEN Siena 2% 11% 27% 33% 20% 6% 1%
105 SPEARS Mya B 4% 18% 34% 29% 13% 3% -
106 BUHAY Kirsten M. 13% 34% 33% 15% 3% - -
107 STAPLETON Lindsay K. - 1% 8% 23% 35% 26% 7%
108 SCOTT Eve 1% 7% 23% 36% 26% 7% -
109 SCHIMINOVICH Sophia I. - 1% 8% 24% 35% 25% 6%
110 DAVIS Jayna M. 11% 31% 34% 18% 5% 1% -
111 DONG Angel 4% 18% 34% 30% 12% 2% -
112 GOLOVITSER Maya 6% 24% 36% 24% 8% 1% -
113 LOMOTAN Addison 16% 36% 32% 13% 3% - -
114 WANG Jiayi 7% 27% 36% 22% 7% 1% -
115 ATTIA Jasmine 1% 9% 25% 34% 23% 7% 1%
116 JEONG Katie - 4% 17% 33% 30% 13% 2%
117 XIE Nora 12% 32% 34% 17% 4% 1% -
118 ELBAKRY jana 1% 6% 21% 36% 28% 8% 1%
119 DAI Olivia 3% 16% 33% 31% 14% 3% -
120 TAN Adelyn 6% 23% 35% 26% 9% 1%
121 TA-ZHOU Emma 30% 41% 22% 6% 1% -
122 LIU Hannah 13% 38% 36% 12% 1% -
123 XIONG Haojiao 2% 13% 30% 34% 18% 4%
124 CALLAHAN Chase J. 1% 7% 22% 36% 27% 8%
125 LUKER Sophia 3% 18% 37% 30% 10% 1%
126 GUGALA Hanna 3% 22% 40% 27% 7% 1%
127 BERMAN greta 11% 36% 35% 15% 3% -
128 OCA Merci 26% 42% 25% 7% 1% -
129 LITTLE Avery 1% 10% 27% 34% 21% 6% 1%
130 YAM Danika 4% 17% 32% 29% 14% 3% -
131 YUCEL Emine I. - 1% 4% 16% 34% 34% 12%
132 HUANG Rachael 5% 21% 34% 27% 11% 2% -
132 LIU Kelly 12% 33% 35% 17% 4% - -
134 NAYAK Esha 16% 36% 32% 13% 2% - -
135 CHAN Jolene 2% 12% 30% 34% 18% 4% -
136 HSU Leah 5% 22% 35% 27% 10% 2% -
137 HU Michelle 5% 22% 35% 26% 10% 2% -
138 XU Emily T. 15% 36% 32% 14% 3% - -
139 CROOKS Riley 9% 28% 35% 21% 6% 1% -
140 MUELLER Amelia D. 11% 30% 33% 19% 6% 1% -
141 CHI Claire 11% 32% 35% 17% 4% - -
142 LO Chloe 27% 44% 24% 5% - -
143 ALFARACHE Gabriella C. 2% 12% 30% 34% 18% 4% -
143 FAVO Isabella 1% 9% 26% 36% 23% 5% -
145 TONG Laurie 49% 39% 11% 1% - -
146 YUEN Nicole 4% 19% 33% 28% 13% 3% -
147 HUANG Doris 16% 36% 32% 14% 3% - -
148 DIECK Miranda P. 8% 28% 36% 22% 6% 1% -

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.