National Championships and July Challenge (Summer Nationals)

Div II Women's Saber

Friday, July 4, 2025 at 2:00 PM

Baird Center - Milwaukee, WI, 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 KU Alathea-Joy - - 4% 20% 43% 33%
2 GOLOVITSER Maya - 1% 7% 27% 44% 21%
3 SCHAIBLE Sofia L. - 2% 9% 26% 35% 23% 5%
3 SPEARS Mya B - - - 5% 28% 45% 22%
5 SINGER Ellery - 3% 13% 32% 37% 16%
6 RAGHURAMAN Anishka 2% 12% 28% 32% 20% 6% 1%
7 TAN Adelyn - - 1% 6% 22% 41% 31%
8 ZHENG Valentina - - 2% 11% 33% 39% 15%
9 CHEN Elaine - 1% 9% 26% 40% 24%
10 NANDA Maanika 7% 25% 36% 24% 8% 1%
11 LISSO Ria A. - - 1% 5% 21% 42% 32%
12 ONG Lauren - 1% 10% 28% 36% 21% 5%
13 YADAV Tishya - 5% 18% 32% 30% 13% 2%
14 LEE Kaitlin 6% 24% 36% 25% 8% 1%
15 SUN Angela 18% 37% 30% 12% 3% - -
16 LUKER Hannah - 4% 17% 34% 32% 12%
17 LIU Hannah - 6% 28% 44% 19% 3% < 1%
18 DUDNICK Morgan - 3% 15% 33% 35% 14%
19 KWON Hannah - 3% 14% 31% 34% 16% 3%
20 MYAT Chloe - - 2% 12% 30% 37% 18%
21 MCAFEE Jada - - 4% 19% 36% 31% 9%
22 ZHAN Sophie - 1% 5% 20% 37% 29% 8%
23 WONG Natalie - - 2% 12% 31% 38% 17%
24 RANDALL-COLLINS Shea M. 3% 16% 33% 32% 14% 2%
25 MERCHANT Aishwarya - - 1% 6% 23% 41% 29%
26 NAIR Supriya - - 1% 6% 24% 42% 28%
27 NEUMAN Ella - 1% 8% 27% 37% 22% 5%
28 MCSWEENEY Kylie - - 3% 13% 33% 37% 14%
29 KIM Audrey - 5% 23% 36% 26% 9% 1%
30 TISSONE Veronica 10% 30% 35% 19% 5% -
31 HUA Catherine W. - - 1% 8% 31% 42% 18%
32 ELLIS-FURLONG Ava 1% 9% 25% 35% 24% 7%
33 ASHTIANI Shaya - 3% 15% 32% 32% 15% 2%
34 CHI Claire - - 4% 18% 37% 31% 9%
35 MUELLER Amelia D. - - 5% 18% 34% 31% 11%
36 KNOBEL Sophia - - 2% 11% 31% 39% 18%
37 TENG Christine Renmei - - 1% 8% 28% 41% 22%
38 PETTIT Sara M. - - 1% 9% 28% 40% 21%
39 COLBY Mercer 2% 13% 30% 33% 17% 4% -
40 XIAO Cindy - 2% 13% 30% 33% 17% 3%
41 DUTA Lyra 1% 9% 29% 35% 20% 5% 1%
42 KOSZYK Agnieszka - - 4% 21% 44% 30%
43 CHANG Annette - 2% 13% 34% 38% 13%
44 NG Sophia - 5% 26% 44% 25%
45 MATSUO Kei - - 3% 15% 33% 35% 14%
45 KU Chloe - 4% 18% 33% 30% 13% 2%
47 HWANG Charlotte - 4% 19% 34% 29% 12% 2%
48 VISWANATHAN Nishka 1% 8% 25% 36% 24% 6% -
49 ZHAI AMY - - 2% 11% 29% 38% 19%
50 HUGHES-WILLIAMS Adelayde - 1% 4% 16% 33% 33% 13%
51 KHOST Maeve - 4% 19% 34% 29% 12% 2%
52 KRIVOSHEEV Alexandra - 1% 9% 26% 36% 23% 5%
53 MUNGUIA Mila 1% 6% 21% 34% 27% 10% 1%
54 KRASOWITZ Lucy 1% 5% 19% 32% 29% 12% 2%
55 PADANILAM Lily 1% 9% 25% 35% 24% 6%
56 BORGUETA Madison 1% 5% 19% 34% 29% 11% 2%
57 STONE Coral - 1% 7% 27% 38% 23% 5%
58 HUANG Pierra 2% 14% 30% 32% 17% 4% -
59 PHAN Genevieve 2% 14% 32% 34% 15% 3% -
60 BARNES Sarah - 2% 12% 27% 33% 20% 5%
61 FLEEGER Sophia 7% 28% 38% 21% 5% -
62 NIU Jessica 2% 14% 35% 34% 13% 2%
63 BUTMAN Chloe Alexandra 9% 27% 35% 22% 7% 1%
64 MOON Claire 1% 8% 25% 35% 23% 7% 1%
65 LITTLE Avery - - - 4% 21% 44% 31%
66 JEFFORDS Sophia - 3% 14% 31% 33% 16% 3%
67 HUANG Neila 1% 12% 30% 34% 18% 4% -
68 GENTILE Vittoria - 1% 8% 24% 35% 25% 7%
69 ERPELDING Emily 1% 15% 37% 32% 13% 2% -
70 REAVIS Isabel - 1% 8% 23% 35% 25% 7%
71 SHELLEY Scarlett 1% 19% 42% 30% 7%
72 STAPLETON Lindsay K. - - - - 3% 24% 73%
73 BANDHU Saahiti 2% 11% 28% 33% 20% 6% 1%
74 JUDE Simona 16% 39% 31% 11% 2% - -
75 NAYAK Esha - - 2% 12% 31% 38% 17%
76 VATS Ishita 1% 10% 26% 34% 22% 7% 1%
77 PARK Haylie 1% 8% 26% 35% 23% 7% 1%
78 BAINS Nandini - 1% 8% 27% 38% 22% 4%
79 CLIFTON Nicole R. - - 1% 9% 34% 41% 16%
80 SNOAD Indy 7% 25% 34% 23% 8% 2% -
81 PRESANTH Nandana 4% 18% 33% 30% 13% 2%
82 LOO Kaitlyn - 4% 18% 35% 32% 11%
83 KONZEN Iris 11% 35% 36% 15% 3% -
84 XA-CHIN Sara 2% 10% 27% 34% 22% 5%
85 KANG Soeun 2% 14% 31% 32% 16% 4% -
86 AKULA Roszlynn - 3% 14% 30% 32% 17% 4%
87 XU Emily T. - - 3% 15% 33% 35% 14%
87 WONG Cerise 3% 17% 34% 31% 13% 2% -
87 TONG Laurie - 2% 11% 28% 35% 21% 5%
87 MALLAMPATI Jaabili 1% 7% 22% 34% 26% 9% 1%
91 YANG Caroline 1% 9% 25% 33% 23% 8% 1%
92 SHEARER Alena - 2% 10% 27% 36% 22% 5%
93 RANJAN Diya 3% 15% 31% 31% 16% 4% -
94 SADANI Jyotika 3% 14% 30% 31% 17% 5% -
95 XU Kaylyn - 3% 15% 35% 33% 12% 2%
96 SCHOON REBECCA - 8% 32% 42% 18%
97 CARLUCCI Laura A. - - 4% 17% 38% 35% 5%
98 HUSS Miriam 4% 20% 36% 29% 10% 2% -
98 TESTROET Aubrey - 1% 7% 23% 36% 26% 6%
100 ISBERG Natalie - 1% 8% 24% 35% 25% 7%
101 DESAUTELS Alexandra 3% 30% 42% 21% 4%
102 MING Emma 2% 14% 32% 32% 15% 3% -
103 LEUNG Ashlyn K. - 4% 16% 31% 31% 15% 2%
104 CHERUKURI Tanvi 6% 26% 37% 24% 7% 1% -
105 DOLEV Rony 1% 6% 21% 33% 27% 11% 2%
106 PATIL Jyothi 16% 36% 31% 14% 3% - -
107 ZHANG Erica 3% 16% 33% 32% 14% 2%
108 DEHON Inès 1% 8% 24% 36% 25% 6%
109 CHERON Helene 6% 27% 39% 22% 5% -
110 PROBASCO Leila 3% 17% 34% 31% 13% 2%
111 YAO Reeva 7% 29% 38% 21% 4% -
112 CHEN Kasey 1% 9% 29% 38% 20% 3%
113 WONG Charlene 3% 15% 33% 32% 15% 2%
114 JACHYMIAK Emilia 7% 25% 35% 24% 8% 1%
115 HILD Anya 5% 20% 33% 27% 11% 2% -
116 ZHAO Jing - 1% 9% 30% 38% 19% 3%
117 MCMAHON Kylin S. - 1% 6% 21% 35% 28% 9%
118 YOO Audrey 5% 26% 41% 22% 5% 1% -
119 DONDERIS Katherine - 3% 15% 32% 33% 15% 3%
119 HENRY Erin 30% 42% 22% 6% 1% - -
119 SAMPATH Medha 19% 37% 29% 12% 2% - -
122 LAGUNA Genevieve 4% 20% 35% 29% 11% 2% -
123 JUNG Elise 6% 27% 40% 22% 5% 1% -
124 COOVADIA Malina - 10% 29% 35% 20% 6% 1%
125 YERENKOVA Ameliia 2% 14% 33% 34% 15% 3% -
126 WITEK Isabelle 21% 39% 28% 10% 2% -
127 BARBORIAK Emily 20% 39% 29% 10% 2% -
128 KOHLBERGER Noelle - < 1% 3% 12% 29% 37% 19%
129 WAY Samantha - 1% 5% 19% 35% 31% 10%
130 POLSTON Ella 6% 27% 37% 23% 7% 1% -
131 CHIU Philippa 20% 43% 29% 7% 1% - -
132 LIM Eunice 3% 29% 44% 21% 3% - -
133 TAMARO Allie 12% 33% 34% 16% 4% - -
134 JAJRA Avni 26% 44% 24% 5% 1% - -
135 DEMARIA Lauren 6% 23% 35% 26% 9% 1%
136 ATHOW Stephanie J. 18% 37% 30% 12% 2% - -
137 WU Chloe 37% 45% 16% 3% - - -
138 DANTULURI Shivani 3% 16% 31% 30% 15% 4% -
139 LU Angela 3% 29% 40% 21% 5% 1% -
140 MUTHAPPAN Sahana - 3% 18% 36% 30% 11% 1%
141 SEELIG Samantha 3% 23% 37% 26% 9% 2% -
142 BARCZAY Sara E. 5% 21% 34% 26% 11% 2% -
143 NARAYANAN Sinduja 6% 29% 37% 21% 6% 1% -
144 HAN Emma - 2% 12% 29% 35% 18% 3%
144 KAZA Aditi 55% 36% 9% 1% - - -
146 IREGUI Sofia - 10% 29% 35% 20% 6% 1%
147 BANGALORE Shriya 31% 42% 22% 5% 1% - -
148 MALVESTUTO Prudence 41% 43% 14% 2% - - -
148 MADDEN Chloe 72% 24% 3% - - - -
148 SOBERY Lillian 5% 35% 43% 16% 2% - -
151 LADY Jamie 22% 45% 25% 6% 1% - -
152 JAGROO Mary - 5% 18% 34% 29% 12% 2%
153 KAZA Ananya 32% 43% 21% 4% - -
154 BIESIADA Sophia 9% 31% 37% 19% 4% - -
155 CAI Veronica 7% 27% 36% 23% 7% 1%
155 WILFRET Katerina 24% 42% 26% 7% 1% -
157 WOLVERTON Emma 75% 23% 2% - -
158 LYNCH Vivian 71% 26% 3% - - - -
159 ALDORT Amanda 4% 19% 34% 30% 12% 2%
160 NAKATA Gwyneth 72% 25% 3% - - - -
161 KIM Alice 42% 40% 15% 3% - - -
162 PERRY Madelyn 10% 31% 34% 19% 5% 1% -
163 XIAO Sophia 12% 39% 35% 12% 2% - -
164 BECERRA Karen 25% 42% 25% 7% 1% - -
165 HOAGLAND Simone 15% 36% 32% 14% 3% - -
166 MCCAWLEY Madeleine 89% 10% - - - - -
167 CARNES Meghan 2% 14% 29% 31% 18% 5% 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.