Junior Olympics

Junior Women's Saber

Friday, January 9, 2026 at 8:00 AM

Kansas City Convention Center - Kansas City, MO, 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 MCKEE Brynnley - - - - 4% 30% 66%
2 JOHNSON Dagny L. - - - 3% 17% 43% 37%
3 ANDRES Charmaine G. - - - - 1% 17% 82%
3 PAUL Lila - - - - 5% 30% 65%
5 ZENG Sarah - - 2% 10% 30% 39% 18%
6 MANN Sophia J. - - - 3% 17% 41% 38%
6 LAURI Keira - - - 2% 12% 40% 47%
8 ZHANG XUANYI - - - 6% 36% 58%
9 FERNANDEZ Martina - - 1% 6% 24% 42% 27%
10 VINOGOROVA Sofiia - - 2% 10% 28% 39% 21%
11 PANTALEON-MAZOLA Amari - - 2% 12% 31% 38% 17%
12 MACKAY Katherine - - 2% 12% 38% 41% 8%
13 BEVACQUA Aria F. - - - 2% 15% 41% 41%
14 JUNG Irene - - - - 5% 31% 63%
15 PARK Geraldyn Sojung - 3% 14% 30% 32% 17% 3%
16 CHANG Annette 2% 18% 37% 31% 11% 2% -
17 JOHNSON Lydia - - - 2% 12% 38% 48%
18 VADASZ Ibla P. - - - 1% 10% 38% 51%
18 KONDEV Elizabeth - - 3% 15% 33% 35% 13%
20 KANG Ellie - - 2% 14% 36% 38% 10%
21 BUSH Bethany - 1% 10% 29% 37% 20% 3%
22 FESTA Carina - - - 1% 6% 33% 60%
23 GOLDIN Nina - - 3% 17% 40% 36% 4%
24 FAVO Isabella - 1% 8% 27% 42% 21%
25 DHAR Rana - 1% 9% 27% 37% 22% 4%
26 YANG Lea - - 3% 14% 34% 36% 13%
27 XU Emily T. - 1% 7% 26% 42% 22% 2%
28 FEIG Sela - - - 1% 11% 39% 49%
29 GONZALEZ Veronika - 3% 15% 31% 32% 16% 3%
30 DHAR Layla - 1% 6% 20% 36% 29% 7%
31 VINOKUR Anita 2% 14% 33% 34% 15% 2%
32 MARYASH Samantha - - 2% 10% 32% 41% 15%
33 HUAI Delilah - - - - 4% 30% 65%
34 HILD Nisha - - - 1% 9% 40% 50%
34 SHI Cathleen - - - 2% 15% 41% 42%
34 BROWN Aria - 1% 5% 20% 37% 30% 7%
37 KIM Satie - 2% 13% 32% 36% 16% 2%
38 CHIARELLI Valentina - - - 4% 19% 44% 33%
39 SCHIMINOVICH Sophia I. - - - 2% 13% 40% 44%
40 AWAD Royce - 2% 9% 25% 34% 24% 6%
41 SCHMIDT Isabel - - 1% 7% 25% 41% 26%
42 CHOI Charlotte - - 2% 14% 36% 37% 11%
43 HAMMERSTROM Aria - - 2% 14% 37% 38% 9%
44 BERMAN greta - - 3% 15% 37% 36% 9%
45 SUNG Olivia - 3% 18% 38% 31% 9% 1%
46 LIN Elaine - - 4% 18% 36% 32% 10%
46 YADAV Tishya 1% 11% 32% 36% 17% 4% -
48 GAIKWAD Ashmiee - 4% 21% 37% 29% 9% 1%
49 YOUNG Charlotte G. - - 1% 10% 31% 42% 16%
50 MAJEWSKA Maria 1% 10% 34% 39% 14% 2% -
51 BAIK Sarah - 5% 23% 38% 26% 7% 1%
52 LIU Hannah - 4% 20% 40% 31% 5%
53 JIANG Evelyn - 1% 8% 27% 41% 23%
54 GAUTAM Sahana - 1% 5% 21% 42% 31%
55 SHMULER Fiona - 2% 16% 38% 34% 9%
56 WANG Gloria Ruoyan - - 2% 13% 33% 37% 15%
57 LU Elaine - - - 1% 8% 36% 55%
58 LEOU Korina - - 4% 18% 35% 32% 11%
59 TABANGAY Heartlyn - - - 3% 18% 43% 36%
60 UEMOTO Lynn - 5% 22% 36% 27% 8% 1%
61 JEONG Katie - - 1% 6% 24% 42% 26%
62 LAI Karen 33% 41% 20% 5% 1% - -
63 YUEN Nicole - 1% 5% 20% 39% 30% 5%
64 WANG Jiayi - 2% 11% 30% 35% 18% 3%
65 LIU kai yin aria - - 4% 17% 34% 32% 12%
66 KANG Soeun 3% 22% 39% 26% 8% 1% < 1%
67 LIU Sydney - 4% 17% 36% 33% 10%
68 BORDAS HILL Georgiana 2% 16% 37% 33% 11% 1%
69 HSU Leah - - 3% 15% 34% 36% 13%
70 NING Lynn 1% 11% 32% 35% 17% 4% -
71 DUDNICK Morgan - 3% 17% 34% 32% 12% 2%
72 CASTELO Soleil - 4% 17% 32% 31% 14% 2%
73 KU Alathea-Joy - 3% 17% 36% 32% 11% 1%
74 LEI Zitong (Meya) - 2% 16% 36% 33% 12% 1%
74 IANNUZZI Lucy - 4% 18% 37% 31% 9% -
76 KU Chloe - 6% 26% 39% 23% 6% -
77 MERMEGAS Olivia - 8% 26% 37% 23% 6% -
78 TEYSSIER Katherine 3% 17% 36% 32% 11% 1%
79 KWON Hannah 1% 7% 23% 37% 26% 7%
80 HU Anna - - 6% 30% 49% 15%
81 CONG Anne - 1% 6% 23% 38% 27% 6%
82 DANG Kelia - - 3% 14% 34% 36% 13%
82 OCA Merci - 4% 18% 34% 30% 12% 1%
84 ARNOLD Hali - 1% 8% 26% 38% 23% 4%
84 GAY Sasha - - 3% 19% 45% 29% 4%
86 LIN Nicole - - 1% 7% 29% 47% 17%
87 GONG Joy - 1% 6% 22% 39% 28% 4%
88 KAUL Tara - 6% 23% 40% 25% 5% -
89 MEYERSON Michelle - 9% 29% 35% 20% 5% 1%
90 GENTILE Vittoria - 2% 14% 35% 35% 13% 1%
91 SO Catelyn - - - 3% 17% 41% 39%
92 CAI Veronica 13% 35% 33% 15% 3% - -
93 HWANG Charlotte 3% 16% 33% 31% 14% 3% -
94 BHAVSAR Vanmayi 9% 35% 39% 14% 2% - -
95 MALEK Zolie - - 1% 7% 24% 42% 26%
96 CHIANG Melissa 2% 12% 30% 34% 17% 4% -
96 ILAGAN Ava 4% 25% 38% 24% 7% 1% -
98 BORTAI Eliza 17% 38% 31% 12% 2% -
99 DUFF Caitlin 1% 14% 38% 34% 11% 1%
100 KNOBEL Sophia 2% 12% 30% 35% 18% 3%
101 ZOLLER Noelle - 1% 6% 24% 44% 25%
102 GUGALA Hanna - - 1% 11% 39% 41% 7%
103 FUNG Iris - 6% 25% 37% 25% 7% 1%
104 MEDVINSKY Alexandra - - 4% 18% 36% 31% 10%
104 CHANG Norah - 4% 18% 34% 30% 12% 2%
104 GOLOVITSER Maya - 2% 10% 27% 36% 21% 4%
107 HUANG Pierra 1% 6% 23% 37% 26% 7% -
108 BARNES Sarah 5% 24% 38% 25% 7% 1% -
109 HORVITZ Jacqueline 1% 9% 33% 37% 17% 3% -
109 LOMOTAN Addison - 4% 18% 33% 29% 12% 2%
111 ZHAI AMY 1% 7% 26% 37% 22% 6% -
112 HUGHES-WILLIAMS Adelayde 3% 19% 35% 29% 11% 2% -
113 DAMBAL Sasha - 2% 12% 31% 35% 17% 3%
114 LONG Jessie - 4% 17% 33% 31% 13% 2%
115 KINKADE Ellie - 1% 9% 26% 35% 23% 5%
116 FAN Alexandria - 1% 8% 26% 38% 23% 4%
117 WEI JoyAnn - 5% 19% 35% 31% 10%
118 MOON Claire 2% 14% 34% 35% 14% 1%
119 WALLER London - 6% 30% 44% 17% 2%
120 LOO Kaitlyn 2% 17% 44% 31% 6% -
121 JOHN Sophia 3% 20% 39% 29% 8% 1% -
122 ONG Lauren 1% 6% 23% 38% 26% 6% -
123 LEE Alyson - - 6% 25% 43% 23% 3%
124 PROBASCO Leila 2% 16% 34% 31% 14% 3% -
125 WONG Natalie 1% 8% 27% 36% 22% 6% 1%
126 HU Michelle - 2% 13% 32% 34% 16% 3%
127 DAVIDOVA Kira 1% 9% 28% 37% 21% 4%
128 VATS Ishita 5% 24% 37% 25% 8% 1% -
129 SUN Angela 18% 45% 29% 8% 1% -
130 WILSON Eva 10% 31% 36% 19% 4% -
131 SCHAIBLE Sofia L. - 2% 12% 34% 38% 13% 1%
131 DANTULURI Shalini - 1% 8% 25% 37% 23% 5%
133 DIECK Miranda P. 1% 8% 25% 35% 23% 7% 1%
134 YU Stella - 4% 18% 34% 30% 12% 2%
135 DEHON Inès 1% 7% 24% 35% 25% 8% 1%
136 HALPERIN Elizabeth H. - 2% 11% 29% 36% 19% 3%
137 MAK Kaitlin - 4% 16% 32% 32% 14% 2%
138 KWON Ava 2% 16% 35% 32% 13% 2% -
139 NGUYEN Siena 1% 5% 21% 36% 29% 8%
140 LIM Jaslene - - 2% 16% 43% 39%
141 ANTHONY Alexia B. - - 1% 7% 33% 60%
142 OH Chloe 41% 45% 13% 1% - -
143 CHRISTOTHOULOU Olympia C. - 3% 14% 33% 36% 14%
144 LIN Annika 11% 32% 35% 17% 4% -
145 YE Madeleine 1% 23% 43% 27% 6% - -
146 HSIEH Lucia 1% 11% 30% 35% 19% 4% -
147 CHAVAN Arya - 1% 6% 20% 35% 29% 9%
148 HUANG Neila - 9% 32% 38% 18% 3% -
148 SINGER Ellery 1% 6% 23% 35% 26% 9% 1%
150 TA-ZHOU Emma - 2% 11% 31% 37% 17% 2%
151 MUND Ruth - - 3% 15% 36% 37% 10%
151 CARTER Keely - 3% 13% 30% 34% 17% 3%
153 BORGUETA Madison 2% 15% 33% 32% 14% 3% -
153 LI Alexis - - 2% 15% 39% 37% 7%
155 BIRNSTILL Reese - 6% 24% 36% 25% 8% 1%
156 NEUMAN Ella - 13% 35% 35% 15% 2% -
157 XA-CHIN Sara 1% 11% 29% 34% 19% 5% -
157 ROBBINS Adele 10% 33% 36% 17% 4% - -
159 LITTLE Avery - 2% 11% 28% 35% 20% 4%
160 MYAT Chloe 3% 16% 32% 31% 15% 3% -
160 KIRBY Skye 1% 12% 33% 36% 15% 2% -
162 MING Emma 21% 41% 28% 8% 1% - -
163 SADANI Jyotika 5% 27% 38% 23% 6% 1% -
164 KO Ariel 1% 17% 40% 32% 9% 1% -
165 ERPELDING Emily 30% 44% 22% 4% - - -
166 NGUYEN Summer 12% 35% 35% 15% 3% -
167 PABIAN Emilia - - 5% 22% 40% 27% 6%
168 WANG Callie - - 1% 9% 28% 40% 21%
169 YU Skylar 2% 14% 31% 32% 16% 4% -
170 KIM Saeren 3% 17% 34% 30% 13% 2% -
171 KIM Alexia 11% 45% 34% 10% 1% - -
172 MUNGUIA Mila - 1% 12% 32% 37% 16% 2%
173 LEE Grace 6% 28% 37% 22% 6% 1% -
174 FERRIS Madeline - 14% 38% 35% 11% 1% -
175 MCAFEE Jada 2% 15% 35% 32% 13% 2% -
176 REN Katherine - 4% 16% 33% 32% 13% 2%
177 TOPALOV Julia 3% 37% 41% 16% 3% - -
177 PHILLIPPY Hannah 25% 44% 24% 6% 1% - -
179 VISWANATHAN Nishka 5% 25% 36% 24% 8% 1% -
180 LUKER Hannah - 5% 24% 37% 26% 7% 1%
181 LU Angela 55% 36% 9% 1% - - -
182 NG Sophia 3% 17% 34% 30% 13% 3% -
183 CHOWDHERY Myra 1% 10% 29% 36% 19% 4% -
184 ZHAO Selena - 3% 19% 38% 30% 9% 1%
185 JUNG Sienna 14% 42% 34% 10% 1% - -
186 CONVERSO-PARSONS Maia 19% 48% 27% 6% 1% - -
187 KRIVOSHEEV Alexandra 1% 8% 26% 35% 23% 6% 1%
188 YANG Caroline 4% 20% 36% 29% 10% 1% -
189 JOSHI Samika 8% 34% 39% 16% 3% - -
190 KONZEN Iris 20% 41% 30% 8% 1% - -
190 PASUPULETI Laya 11% 32% 34% 17% 4% - -
192 JEFFORDS Sophia 1% 6% 23% 35% 26% 8% 1%
193 BAIRD Kaleah 21% 42% 28% 8% 1% - -
194 KIM Grace 19% 39% 30% 10% 1% -
195 ELLIS-FURLONG Ava 10% 35% 36% 16% 3% -
196 KRASOWITZ Lucy 10% 31% 36% 19% 4% -
197 ZHANG Ashley 6% 25% 38% 25% 7% 1%
198 LO Chloe - 5% 23% 40% 27% 5%
199 NANDA Maanika 34% 42% 19% 4% - -
200 DEMARIA Lauren 28% 43% 23% 5% - -
201 ROMERO Aanandhamayi 45% 40% 13% 2% - - -
202 KHOST Maeve 12% 36% 36% 14% 2% - -
203 XIE Nora - 3% 15% 34% 32% 14% 2%
204 PADANILAM Lily - 3% 16% 38% 32% 11% 1%
204 PARK Chloe 1% 19% 39% 30% 10% 1% -
206 NADKARNI Marisa 1% 14% 34% 33% 14% 3% -
207 LIU Hannah 10% 29% 34% 20% 6% 1% -
207 CHERUKURI Tanvi 13% 39% 34% 13% 2% - -
209 MAK Jayden - 17% 37% 31% 12% 2% -
210 ROSTHOLDER Hannah 15% 41% 32% 10% 2% - -
211 DOXAN Sarah 11% 34% 35% 16% 3% - -
212 CHIU Philippa 57% 35% 8% 1% - - -
213 KAZA Aditi 41% 43% 14% 2% - - -
214 JACHYMIAK Emilia 3% 18% 34% 30% 12% 2% -
215 TONG Laurie 1% 11% 30% 34% 18% 5% -
216 KIM Audrey 7% 28% 37% 22% 6% 1% -
217 HILD Anya 5% 25% 38% 24% 7% 1% -
217 LAFFY Lily 2% 14% 38% 33% 12% 2% -
219 ZHANG Emily 42% 40% 15% 3% - - -
220 MUTHAPPAN Sahana 28% 42% 23% 6% 1% - -
221 WU Chloe 44% 42% 13% 1% - - -
222 PATIL Jyothi 41% 41% 15% 3% - - -
222 TASSONE Charlie 40% 43% 15% 2% - - -
224 LEE Kaitlin 11% 38% 35% 14% 2% - -
225 VIHODET Irina 85% 14% 1% - - - -
226 NIU Jessica 8% 29% 36% 21% 5% -
227 VANNIER Anouk 43% 43% 12% 1% - -
228 CHERON Helene 14% 35% 33% 15% 3% - -
228 LAU Teagan 93% 7% - - - - -
230 KAZA Ananya 26% 50% 21% 3% - -
231 WONG Charlene 8% 30% 38% 19% 4% - -
231 LIM Eunice 47% 40% 12% 2% - - -
233 DOLEV Rony 16% 40% 32% 11% 1% -
233 XU Elaine 7% 27% 36% 23% 6% 1%
235 PARK Haylie 2% 12% 32% 35% 17% 3% -
236 PHAN Genevieve 18% 39% 30% 11% 2% - -
236 OEI Allyson 42% 40% 15% 3% - - -
238 PATEL Sia 88% 12% 1% - - - -
238 FINN Lucy 15% 40% 33% 11% 1% - -
238 CHEN Elina 39% 43% 15% 2% - - -
238 DUSHAS Mariana 7% 44% 37% 10% 1% - -
242 WONG Cerise 3% 34% 40% 19% 4% - -
242 HOWE Vivienne 7% 30% 37% 20% 5% 1% -
242 ENNIS Charlotte 67% 28% 4% - - - -
242 LOPEZ Sophia 87% 13% 1% - - - -
246 POLSTON Ella 15% 39% 33% 11% 1% - -
246 KIM Grace M. 26% 42% 25% 7% 1% - -
246 MEFFORD Isadora 63% 32% 5% - - - -
246 WILFRET Katerina 64% 30% 5% - - - -
250 WELCH Greta 89% 10% - - - - -
250 KAYA Lara 4% 23% 41% 26% 6% - -
252 GIANNETTI Stella 8% 27% 35% 22% 7% 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.