October NAC

Div I Women's Saber

Saturday, October 4, 2025 at 9:00 AM

Salt Palace Convention Center - Salt Lake City, UT, 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 CHAMBERLAIN Maia C. - - - - - 10% 89%
2 POSSICK Lola P. - - - 1% 6% 30% 63%
3 STRZALKOWSKI Aleksandra (Ola) M. - - - - 2% 27% 70%
3 SKARBONKIEWICZ Magda - - - - - 4% 96%
5 PAK Kaitlyn - - - - 2% 20% 78%
6 LU Vivian Y. - - - - 5% 39% 56%
7 JOHNSON Honor - - - - 1% 16% 83%
8 HUAI Delilah - - 2% 10% 28% 39% 22%
9 HWANG Gabi M. - - - 3% 18% 42% 36%
10 ZHANG XUANYI - - 2% 11% 32% 40% 14%
11 FERNANDEZ Martina - 2% 10% 27% 35% 21% 4%
12 CORTEYN Jolien - - 2% 13% 46% 40%
13 SCHIMINOVICH Sophia I. - 1% 8% 24% 36% 25% 6%
14 FESTA Carina - - 4% 17% 35% 33% 11%
15 XIAO julie - - 3% 13% 32% 37% 15%
16 CHAVAN Arya 5% 22% 35% 26% 10% 2% -
17 LEE Alexandra B. - - - - 2% 21% 77%
18 FOX-GITOMER Chloe N. - - - - - 8% 91%
19 SHI Cathleen - 1% 5% 24% 47% 23%
20 WANG Callie 1% 6% 22% 36% 26% 8% 1%
21 FEIG Sela - - 4% 17% 39% 37% 4%
22 SAYLES Nina R. - - 1% 5% 22% 42% 30%
23 LAURI Keira - 1% 4% 15% 31% 34% 15%
24 LIU Sophie - - - 2% 13% 40% 46%
25 KONDEV Elizabeth - 4% 19% 36% 29% 10% 1%
26 JOHNSON Dagny L. - 1% 11% 33% 41% 14%
27 JIANG Evelyn 2% 13% 35% 37% 12% 1%
28 SHEARER Natalie E. - - 2% 10% 29% 39% 19%
28 BEVACQUA Aria F. - 1% 7% 22% 35% 27% 8%
30 ATTIA Jasmine - 2% 11% 29% 37% 19% 1%
31 MELNYCHUK Yelyzaveta - - - 3% 15% 41% 41%
32 WEI JoyAnn - 5% 21% 36% 27% 9% 1%
33 KIM Zoe - - - - 2% 21% 77%
34 GAUTAM Sahana 1% 6% 20% 34% 28% 10% 1%
35 KOVACS Sophia - - - - 3% 29% 67%
36 MIKA Veronica - - - 2% 13% 42% 43%
37 TA-ZHOU Emma 6% 25% 36% 24% 7% 1% -
38 ANDRES Charmaine G. - - - - 5% 29% 66%
39 FREEDMAN Janna N. - - 2% 15% 51% 32%
40 VINOGOROVA Sofiia - 3% 14% 32% 33% 15% 3%
41 LEE Alyson 7% 26% 36% 23% 7% 1% -
42 TSE Angelina - 2% 10% 28% 37% 20% 2%
42 LIN Nicole - 2% 11% 29% 38% 19% -
44 ZENG Sarah - 4% 20% 37% 29% 9% 1%
45 LU Elaine - - 2% 12% 38% 44% 3%
46 FAVO Isabella 2% 14% 30% 32% 17% 4% -
47 PANTALEON-MAZOLA Amari 2% 14% 31% 33% 17% 3% -
48 YUCEL Emine I. - - 3% 14% 33% 35% 14%
48 JEON Yuju - - 3% 15% 33% 35% 14%
50 WILLIAMS Chloe C. - - - 2% 18% 55% 25%
51 LI Sonia 4% 20% 35% 29% 11% 2% -
52 GAIKWAD Ashmiee 7% 27% 39% 22% 5% -
53 AWAD Royce 5% 25% 40% 25% 4% -
54 THURGOOD Madison C. - - 4% 19% 43% 34%
55 DHAR Rana 5% 24% 38% 26% 7% -
56 MACKAY Katherine 1% 8% 27% 38% 22% 4% -
57 CHIARELLI Valentina - 2% 11% 28% 37% 20% 2%
58 YANG Lea 1% 7% 22% 34% 27% 9% 1%
59 TABANGAY Heartlyn - 1% 9% 26% 36% 22% 5%
60 SCHMIDT Isabel - 3% 15% 37% 33% 11% 1%
61 KIM Satie 14% 37% 34% 13% 2% - -
62 VADASZ Ibla P. - - 4% 17% 35% 33% 10%
63 KIM Sebin - 3% 13% 30% 33% 17% 3%
64 REN Katherine 7% 27% 37% 22% 6% 1% -
65 MCKEE Brynnley - - 2% 12% 31% 37% 16%
66 GREENBAUM Atara R. - - - 1% 8% 36% 55%
67 CHUNG Hailey - 3% 14% 30% 32% 17% 3%
68 FEARNS Zara A. - - 2% 11% 35% 46% 7%
69 LI Jiaying 1% 8% 25% 34% 23% 7% 1%
70 TSUI Natalie - - 1% 9% 31% 41% 18%
71 DOHERTY Maverick L. - - - 1% 10% 38% 52%
72 MANN Sophia J. - 1% 8% 26% 38% 23% 4%
73 LONG Jessie 2% 15% 34% 34% 14% 2% -
74 DJAMIRZE Zara - 1% 5% 20% 35% 30% 9%
75 LIM Jaslene - 2% 12% 31% 36% 17% 1%
76 YOUNG Charlotte G. 1% 7% 23% 36% 26% 7% -
77 BORTAI Eliza 30% 44% 22% 4% < 1% - -
78 LIN Elaine 1% 8% 27% 38% 22% 5% -
78 XIONG Haojiao 1% 5% 19% 33% 29% 12% 2%
80 LEOU Korina 1% 9% 26% 35% 23% 6% -
81 HU Anna 1% 6% 20% 35% 28% 10% 1%
82 NATHANSON Sammy E. - 4% 16% 33% 33% 13% 1%
83 DANTULURI Shalini 1% 9% 28% 36% 21% 5% -
84 IANNUZZI Lucy 18% 39% 31% 11% 2% - -
85 KANG Ellie 2% 12% 28% 33% 19% 6% 1%
86 WANG Yixuan - 1% 6% 25% 40% 24% 4%
87 MAKLIN Sofia 1% 9% 32% 41% 15% 1% -
88 GAY Sasha 3% 16% 34% 33% 13% 2% -
89 ARNOLD Hali 2% 11% 27% 32% 21% 7% 1%
90 LIU Yifei - 2% 11% 30% 36% 18% 3%
91 JOO Yeseul - 3% 17% 37% 34% 9%
92 WANG Gloria Ruoyan 2% 15% 36% 33% 12% 1%
93 PAUL Lila - - 2% 14% 45% 39%
94 KWON Ava 15% 39% 32% 12% 2% - -
95 HILD Nisha - - 1% 7% 29% 51% 12%
96 JEONG Katie - 2% 11% 27% 34% 21% 5%
97 SCHAIBLE Sofia L. 4% 23% 39% 26% 7% 1% -
97 ANTHONY Alexia B. - - 4% 21% 40% 29% 5%
97 YOON Eunkyo 1% 6% 21% 35% 28% 10% 1%
100 COLTER Aurora - 6% 22% 36% 27% 8% 1%
100 SHTREVENSKY Maria - 1% 6% 26% 41% 23% 3%
102 UEMOTO Lynn 14% 33% 32% 16% 4% 1% -
103 LIU Zhi Jun - 2% 12% 30% 34% 18% 3%
104 HSU Leah - 4% 18% 34% 31% 11% -
105 VESTEL Mira B. - - 3% 15% 33% 35% 14%
106 KWON Hannah 6% 25% 37% 24% 7% 1% -
107 MALEK Zolie - 4% 14% 29% 32% 17% 4%
108 SO Catelyn - 1% 7% 23% 37% 27% 6%
109 DUDNICK Morgan 7% 25% 36% 24% 8% 1% -
110 WANG Jiayi 8% 29% 36% 20% 5% 1% -
110 DAVIDOVA Kira 1% 7% 22% 32% 26% 10% 2%
112 CONG Anne 1% 12% 31% 35% 17% 3% -
113 TANG Zhifei - 5% 19% 34% 30% 11% 1%
114 MEDVINSKY Alexandra - 3% 14% 33% 35% 14% 1%
115 CHRISTOTHOULOU Olympia C. 2% 12% 30% 34% 18% 5% -
116 DRAGON Rainer - - 1% 6% 25% 43% 25%
117 DELSOIN Chelsea C. - - 1% 10% 40% 50%
118 CROOKS Riley 11% 35% 37% 15% 2% -
119 WU Yuwei 16% 39% 32% 11% 1% -
120 MUND Ruth 1% 11% 32% 36% 16% 2%
121 LO Chloe 12% 35% 36% 15% 2% -
122 SHI Julia - 1% 7% 24% 38% 26% 5%
123 FAN Alexandria 2% 13% 34% 33% 15% 3% -
124 MERCHANT Aishwarya 3% 16% 33% 32% 14% 2% -
125 HUANG Pierra 23% 44% 26% 6% 1% - -
125 ZHANG Chenfei 2% 13% 30% 32% 18% 5% -
127 SPEARS Mya B 3% 15% 31% 32% 16% 3% -
128 PARK Seeun 7% 24% 35% 24% 9% 1% -
129 SHUM Cindy 2% 16% 35% 32% 12% 1% -
130 CARTER Keely 1% 11% 30% 37% 18% 3% -
131 GONG Joy 1% 10% 28% 36% 20% 5% -
132 LOMOTAN Addison 7% 28% 37% 22% 6% 1% -
132 TENG EMMA 3% 16% 34% 32% 13% 2% -
134 MCAFEE Jada 25% 45% 25% 5% - - -
135 CHAN Jolene - 6% 22% 37% 27% 8% -
136 BROWN Aria 2% 15% 31% 32% 16% 4% -
137 ARNECKE Lauren A. 2% 13% 30% 33% 18% 4% -
138 DANG Kelia - 4% 18% 34% 30% 12% 2%
139 CHOI Charlotte 6% 24% 36% 25% 8% 1% -
140 BUHAY Kirsten M. 5% 22% 37% 28% 9% 1% -
141 GUVEN Coco 2% 14% 31% 33% 17% 3% -
142 YUEN Nicole 2% 15% 35% 34% 13% 2% -
143 NGUYEN Siena - 5% 20% 35% 29% 10% 1%
144 ZOLLER Noelle - 6% 22% 38% 28% 6% -
145 BAIK Sarah 23% 43% 26% 7% 1% -
146 HAMMERSTROM Aria 2% 13% 28% 32% 19% 6% 1%
147 NHA Chaewon 1% 9% 27% 38% 22% 3% -
148 TURIANO Nadelle 24% 42% 26% 7% 1% - -
149 NIU Jessica 27% 41% 24% 7% 1% - -
150 KINKADE Ellie 3% 16% 33% 31% 14% 3% -
151 ALFARACHE Gabriella C. 1% 8% 26% 35% 23% 7% 1%
152 LUKER Hannah 8% 27% 36% 22% 7% 1% -
153 RAGHURAMAN Anishka 17% 37% 31% 13% 2% - -
154 XIE Nora 3% 17% 33% 31% 14% 2% -
155 SINGER Ellery 9% 30% 35% 20% 5% 1% -
156 KU Alathea-Joy 10% 33% 36% 17% 3% - -
157 GUGALA Hanna 1% 7% 24% 36% 25% 8% 1%
158 MOON Claire 25% 41% 25% 7% 1% - -
159 LIU Hannah 1% 12% 31% 35% 17% 3% -
160 GHOSH Priyanka - - 3% 12% 30% 37% 18%
160 TOBAR Fatima 10% 35% 37% 15% 2% - -
162 HUGHES-WILLIAMS Adelayde 25% 44% 24% 6% 1% - -
163 HUANG Doris 5% 23% 36% 26% 9% 1% -
164 LIU kai yin aria 1% 8% 25% 36% 24% 6% -
164 NADKARNI Marisa 15% 36% 33% 13% 2% - -
166 DAMBAL Sasha 7% 28% 38% 21% 5% - -
166 DHAR Layla 3% 18% 34% 29% 13% 3% -
168 GOLOVITSER Maya 2% 11% 29% 35% 19% 4% -
169 BUSH Bethany 2% 11% 28% 35% 20% 4% -
170 LEI Zitong (Meya) 8% 29% 38% 21% 4% -
171 VINOKUR Anita 9% 32% 39% 18% 2% -
172 ELLIS-FURLONG Ava 19% 40% 30% 10% 1% -
173 SUNG Olivia 24% 43% 26% 6% 1% -
174 CASTELO Soleil 13% 36% 35% 14% 2% -
175 CHEN Ashley - 1% 6% 23% 40% 25% 5%
176 SAYSON Andrea 6% 27% 40% 21% 5% - -
177 LIU Kelly 16% 38% 32% 12% 2% - -
178 SEAL Julie T. - < 1% 5% 20% 37% 29% 8%
179 KIM Karen 15% 38% 33% 12% 2% - -
180 YU Skylar 33% 43% 19% 4% - - -
180 WONG Natalie 13% 37% 33% 14% 3% - -
182 KIM Hwayoon 8% 28% 35% 21% 7% 1% -
183 CHIANG Melissa 5% 25% 38% 24% 7% 1% -
184 ZHAI AMY 7% 27% 37% 22% 6% 1% -
185 KAUL Tara 15% 39% 33% 12% 2% - -
185 YU Stella 23% 44% 26% 7% 1% - -
187 ONG Lauren 14% 35% 33% 15% 3% - -
188 BERMAN greta 2% 13% 28% 32% 19% 6% 1%
189 WILSON Eva 19% 38% 29% 11% 2% - -
189 OCA Merci 29% 41% 23% 6% 1% - -
191 CHEN Elaine 11% 34% 35% 16% 4% - -
191 GENTILE Vittoria 28% 41% 23% 7% 1% - -
193 KRIVOSHEEV Alexandra 30% 42% 22% 5% 1% - -
194 KANG Soeun 34% 42% 20% 4% - - -
195 GRULICH Rayaana 1% 9% 27% 36% 21% 4% -
195 BARROSO Isabela 6% 24% 36% 25% 8% 1% -
197 MUNGUIA Mila 14% 36% 33% 14% 3% - -
197 CHANG Norah 8% 27% 36% 22% 6% 1% -
197 WONG Charlene 42% 41% 15% 3% - - -
197 NG Sophia 25% 40% 25% 8% 1% - -
201 LIN Annika 23% 40% 27% 8% 1% - -
202 KNOBEL Sophia 4% 21% 35% 27% 11% 2% -
203 SEVASTOPULO Sahra 23% 40% 27% 9% 1% - -
204 CAI Xinyi 4% 18% 34% 29% 12% 2% -
205 NING Lynn 22% 41% 28% 8% 1% - -
206 GOLDIN Nina < 1% 4% 19% 37% 31% 7% -
207 DIECK Miranda P. 20% 41% 30% 8% 1% -
208 ZHANG Ashley 17% 40% 31% 11% 2% - -
209 XU Elaine 7% 29% 38% 21% 5% - -
210 TENG Christine Renmei 7% 28% 36% 21% 6% 1% -
210 FUNG Iris 6% 24% 36% 25% 8% 1% -
212 BERRIOS Catalina 26% 43% 25% 6% 1% - -
213 HALPERIN Elizabeth H. 8% 28% 36% 21% 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.