Columbus, OH - Columbus, OH, USA
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 | POSSICK Lola P. | - | - | - | - | 1% | 18% | 81% |
2 | FOUR-GARCIA Madison | - | - | - | 1% | 10% | 37% | 51% |
3 | WILLIAMS Chloe C. | - | - | - | 1% | 7% | 38% | 54% |
3 | OISHI Megumi | - | - | - | 3% | 14% | 39% | 45% |
5 | SULLIVAN Siobhan R. | - | - | - | 1% | 6% | 31% | 62% |
6 | SHOMAN Jenna | - | - | - | 1% | 7% | 33% | 59% |
7 | FREEDMAN Janna N. | - | - | - | 2% | 16% | 45% | 37% |
8 | CARVALHO Isabela A. | - | - | - | 1% | 11% | 40% | 48% |
9 | CHIN Erika J. | - | - | - | 1% | 8% | 37% | 54% |
10 | BLUM Leah I. | - | - | - | 3% | 15% | 41% | 41% |
11 | SCALAMONI-GOLDSTEIN Charlotte S. | - | - | 3% | 18% | 39% | 32% | 7% |
12 | HULSEBURG Kaitlyn | - | - | - | - | 6% | 40% | 54% |
13 | GREENBAUM Ella K. | - | - | 2% | 12% | 32% | 38% | 16% |
14 | SKARBONKIEWICZ Magda | - | - | - | - | 1% | 16% | 83% |
15 | CHIOLDI Mina | - | 1% | 5% | 19% | 36% | 31% | 10% |
16 | NEWELL Alexia C. | - | 1% | 8% | 24% | 37% | 25% | 4% |
17 | TAO Hannah J. | - | - | 2% | 14% | 34% | 36% | 14% |
18 | STONE Hava S. | - | - | 1% | 6% | 25% | 45% | 24% |
19 | TONG Kunling | - | - | 1% | 7% | 25% | 41% | 26% |
20 | BOIS Adele | - | - | - | 2% | 16% | 56% | 27% |
21 | TIMOFEYEV Nicole | - | - | - | 6% | 28% | 43% | 22% |
22 | SHEARER Natalie E. | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
23 | YANG Ashley M. | - | - | 2% | 14% | 35% | 37% | 13% |
23 | CALLAHAN Chase J. | - | - | 6% | 25% | 39% | 25% | 6% |
25 | LEE Alexandra B. | - | - | - | - | 2% | 22% | 76% |
26 | ENGELMAN Madeline A. | - | - | 1% | 7% | 26% | 42% | 24% |
26 | OLSEN Natalie J. | - | - | 4% | 19% | 38% | 31% | 8% |
28 | PAK Kaitlyn | - | - | - | 1% | 11% | 41% | 46% |
29 | CHANG Josephine S. | - | - | 1% | 7% | 27% | 45% | 20% |
30 | WU Erica L. | - | - | - | 4% | 22% | 45% | 29% |
31 | WILSON Isley N. | - | - | 2% | 11% | 29% | 38% | 20% |
32 | KER Grace | - | 4% | 20% | 39% | 29% | 7% | 1% |
33 | WIGGERS Susan Q. | - | - | 1% | 5% | 22% | 43% | 29% |
34 | XU Ellen | - | 4% | 22% | 39% | 27% | 6% | |
35 | D'ORAZIO Isabella | - | 4% | 18% | 34% | 30% | 12% | 2% |
36 | NAZLYMOV Tatiana F. | - | - | 2% | 10% | 28% | 39% | 21% |
37 | JOHNSON Lauren | - | 1% | 11% | 32% | 38% | 15% | 2% |
38 | MIKA Veronica | - | - | 1% | 6% | 28% | 48% | 16% |
39 | KONG Carys H. | - | - | 2% | 21% | 42% | 29% | 7% |
39 | FANG Victoria W. | - | 3% | 15% | 31% | 32% | 16% | 3% |
41 | LIN Audrey J. | - | 1% | 8% | 24% | 35% | 25% | 7% |
42 | YONG Erika E. | - | - | - | 2% | 13% | 41% | 44% |
43 | LUKASHENKO Angelina | - | - | 4% | 19% | 36% | 31% | 10% |
44 | CHEN Xinyan | - | 4% | 24% | 41% | 25% | 5% | - |
45 | LI Victoria J. | - | 1% | 12% | 34% | 38% | 15% | |
46 | LIN Angela | - | 1% | 9% | 27% | 38% | 22% | 3% |
47 | BUHAY Rachel T. | - | - | 1% | 9% | 30% | 44% | 16% |
48 | ALCEBAR Kayla | - | - | 4% | 21% | 38% | 29% | 8% |
48 | PAUL Lila | - | - | 3% | 18% | 37% | 32% | 10% |
50 | JULIEN Michelle | - | 3% | 15% | 32% | 34% | 14% | 2% |
51 | ULIBARRI Nevaeh L. | 1% | 6% | 24% | 38% | 25% | 6% | - |
52 | ARNIPALLI Hamsika | - | 1% | 9% | 28% | 38% | 21% | 2% |
53 | VESTEL Mira B. | - | - | 1% | 9% | 32% | 45% | 14% |
53 | SINHA Anika | - | 1% | 9% | 25% | 35% | 24% | 6% |
53 | YUAN Greta | - | 2% | 12% | 30% | 35% | 18% | 2% |
56 | PRIEUR Lauren | - | 1% | 13% | 36% | 35% | 13% | 2% |
57 | ERIKSON Kira R. | - | 1% | 8% | 26% | 37% | 23% | 5% |
58 | YANG Angelina | - | 2% | 11% | 32% | 37% | 17% | 2% |
59 | TODD Phoebe | 4% | 21% | 36% | 28% | 10% | 1% | - |
60 | NOVICK Mia J. | 3% | 16% | 34% | 32% | 13% | 2% | - |
61 | CHEEMA Sophia | - | 2% | 10% | 26% | 34% | 22% | 6% |
62 | MAREK SOFIA | - | 1% | 9% | 26% | 36% | 23% | 5% |
63 | OBRADOVIC Ana | 1% | 9% | 29% | 37% | 20% | 4% | |
64 | ROMAGNOLI Isabella | - | 1% | 9% | 24% | 35% | 24% | 7% |
65 | FEARNS Zara A. | - | 3% | 13% | 29% | 33% | 18% | 4% |
66 | DELSOIN Chelsea C. | - | - | 1% | 5% | 19% | 41% | 34% |
66 | NYSTROM Sofia C. | 2% | 12% | 31% | 35% | 17% | 3% | - |
68 | SATHE Mehek S. | - | 3% | 18% | 36% | 32% | 11% | - |
69 | CODY Alexandra C. | - | 3% | 16% | 36% | 34% | 11% | |
70 | SUBRAMANIAN Nitika | 1% | 9% | 29% | 37% | 20% | 4% | |
71 | KRASTEV Minna | - | 3% | 12% | 28% | 33% | 19% | 4% |
72 | ATLURI Sara V. | - | - | 1% | 22% | 43% | 28% | 6% |
73 | SOURIMTO Valeria | - | - | 3% | 14% | 35% | 39% | 10% |
74 | JIN Olivia P. | 1% | 7% | 22% | 35% | 26% | 9% | 1% |
74 | HUNG Anna | 1% | 7% | 25% | 39% | 24% | 4% | - |
76 | KONG Isabel | - | - | 3% | 14% | 32% | 36% | 15% |
77 | DUBOIS Lauren N. | - | - | 3% | 16% | 36% | 34% | 11% |
77 | WANG Zidan | 2% | 16% | 39% | 32% | 10% | 1% | - |
77 | DANK Dina | 1% | 9% | 28% | 36% | 21% | 5% | - |
80 | HILD Nisha | - | 1% | 8% | 25% | 36% | 24% | 5% |
81 | BALAKUMARAN Maya | - | 1% | 9% | 30% | 39% | 18% | 3% |
82 | ENDO Miyuki N. | 2% | 15% | 33% | 33% | 15% | 3% | - |
83 | XI Shining | - | 2% | 14% | 36% | 35% | 12% | 1% |
84 | LIAO Siwen | 1% | 8% | 25% | 36% | 24% | 6% | - |
85 | SHIH Christina | 8% | 32% | 37% | 18% | 4% | - | - |
86 | FU Linqian (Helen) | 3% | 17% | 33% | 30% | 14% | 3% | - |
87 | SHI Cathleen | 5% | 21% | 35% | 27% | 10% | 2% | - |
88 | BAKER Audrey C. | - | 1% | 7% | 26% | 42% | 23% | 2% |
89 | BENOIT Adelaide L. | - | 4% | 16% | 31% | 31% | 15% | 3% |
90 | ZENG Xiaoyi | 29% | 41% | 23% | 6% | 1% | - | - |
91 | LI Amanda C. | - | 1% | 8% | 29% | 41% | 20% | |
92 | KALRA Himani V. | - | 1% | 9% | 29% | 40% | 20% | |
93 | DUCKETT Madison | 3% | 19% | 35% | 29% | 11% | 2% | - |
94 | SU Emma | 9% | 31% | 36% | 19% | 5% | 1% | - |
95 | ZINNI Kaylyn M. | - | - | 5% | 24% | 42% | 25% | 2% |
96 | PROCACCINI Ashten V. | - | - | - | 9% | 33% | 41% | 16% |
97 | PLONKA Kaley V. | 5% | 23% | 37% | 25% | 8% | 1% | - |
98 | HURST Kennedy | 8% | 27% | 36% | 22% | 6% | 1% | - |
99 | SADOVA Olga | - | 5% | 23% | 37% | 27% | 7% | - |
100 | DAVIS Jayna M. | 1% | 9% | 30% | 37% | 19% | 4% | - |
100 | ANDRES Charmaine G. | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
102 | SHOMAN Miriam | - | - | 5% | 24% | 41% | 25% | 5% |
103 | BEVACQUA Aria F. | - | 3% | 16% | 35% | 33% | 12% | 1% |
104 | ANDRES Katherine A. | - | 1% | 4% | 18% | 36% | 33% | 9% |
105 | CHAPMAN-LAYLAND Astrid M. | - | 4% | 17% | 33% | 32% | 12% | 1% |
106 | NEIBART Fiona | 2% | 13% | 30% | 33% | 18% | 4% | - |
107 | LEE Sophia | 2% | 17% | 34% | 30% | 13% | 3% | - |
108 | LIGH Erenei J. | 2% | 13% | 29% | 32% | 19% | 5% | - |
109 | KRYLOVA Valery | - | 5% | 20% | 36% | 28% | 9% | 1% |
110 | SCHIMINOVICH Sophia I. | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
111 | XIKES Katherine E. | - | 4% | 17% | 35% | 32% | 11% | 1% |
112 | FERRARI-BRIDGERS Marinella O. | 1% | 8% | 30% | 38% | 19% | 3% | |
113 | CHEN Grace | 1% | 20% | 44% | 28% | 7% | 1% | - |
114 | CHIN Sophia J. | - | 2% | 13% | 30% | 34% | 17% | 3% |
115 | TRAN Thya K. | - | 2% | 13% | 33% | 36% | 15% | 1% |
116 | MANSPERGER Leena | - | 4% | 17% | 32% | 30% | 14% | 2% |
117 | GORMAN Victoria M. | - | 1% | 8% | 26% | 37% | 23% | 5% |
118 | ALFARACHE Gabriella C. | 11% | 31% | 33% | 18% | 5% | 1% | - |
119 | XU Emily T. | 8% | 27% | 35% | 22% | 7% | 1% | - |
120 | GHAYALOD reya | - | 1% | 11% | 34% | 40% | 13% | 1% |
121 | CHEN Celina Z. | 3% | 15% | 34% | 34% | 13% | 1% | - |
122 | WHALEN Paige C. | 10% | 30% | 35% | 19% | 5% | 1% | - |
123 | YERRAMILLI Kavya | - | 3% | 18% | 39% | 31% | 8% | 1% |
124 | MCMAHON Byronie | 18% | 47% | 28% | 7% | 1% | - | |
125 | PATEL Riya | - | 3% | 16% | 34% | 34% | 12% | 1% |
126 | GOMES Diana C. | 10% | 31% | 34% | 19% | 5% | 1% | - |
127 | ANTHONY Alexia B. | 2% | 15% | 33% | 33% | 14% | 2% | - |
128 | HOLMES Emma | 29% | 42% | 22% | 5% | 1% | - | - |
129 | LU Amy | 1% | 9% | 28% | 36% | 21% | 5% | - |
130 | BIAS Lailah N. | 4% | 19% | 35% | 29% | 11% | 2% | - |
131 | GRINBERG Aliya | 2% | 16% | 38% | 32% | 11% | 1% | - |
132 | PASHIN Anna | - | 4% | 22% | 38% | 27% | 9% | 1% |
133 | MORAN Rhea | 26% | 42% | 25% | 7% | 1% | - | - |
134 | SLOBODSKY Sasha L. | 3% | 15% | 32% | 32% | 15% | 3% | - |
135 | BENTOLILA Thalia | 1% | 9% | 31% | 39% | 17% | 3% | - |
136 | HUANG Tina | 5% | 23% | 38% | 26% | 7% | 1% | - |
137 | VADASZ Ibla P. | - | 1% | 8% | 24% | 36% | 25% | 7% |
138 | BURCH Keona Y. | - | 1% | 11% | 30% | 35% | 18% | 4% |
139 | D'ORAZIO Sofia V. | 38% | 49% | 13% | - | - | - | - |
140 | FERREIRA Alejandra E. | - | 4% | 16% | 31% | 31% | 15% | 3% |
141 | LAU Dara L. | 9% | 31% | 37% | 18% | 4% | - | - |
142 | HELLER Mikenna E. | 3% | 25% | 39% | 25% | 7% | 1% | - |
143 | WEI Vivian W. | - | 4% | 17% | 33% | 31% | 14% | 2% |
144 | MEYTIN Sophia E. | 16% | 41% | 32% | 10% | 1% | - | - |
145 | BARRIE Sadie Q. | 19% | 43% | 29% | 7% | 1% | - | - |
146 | LEVITIS Danielle | 1% | 9% | 26% | 36% | 22% | 6% | - |
147 | GUTMAN Valeria | 3% | 21% | 39% | 28% | 8% | 1% | - |
148 | SIMONIAN Olivia A. | 3% | 15% | 31% | 32% | 16% | 3% | - |
149 | LEE Hannah | 2% | 11% | 28% | 33% | 19% | 5% | 1% |
150 | MUNGOVAN Cecilia C. | 28% | 48% | 21% | 4% | - | - | - |
151 | HWANG Gabriela M. | 2% | 13% | 29% | 32% | 19% | 5% | - |
152 | ADAMS Morrigan B. | 38% | 46% | 14% | 2% | - | - | - |
153 | GRAFF Sophie | 1% | 10% | 25% | 33% | 23% | 7% | 1% |
154 | DILLE Carolina G. | 5% | 31% | 39% | 20% | 4% | - | - |
155 | MU Vicki Y. | 2% | 20% | 43% | 26% | 7% | 1% | - |
156 | LIPKOVITZ Rivka | 23% | 42% | 26% | 7% | 1% | - | |
157 | GUTHIKONDA Sunanya | 3% | 17% | 34% | 30% | 13% | 3% | - |
158 | PI Sophia | 24% | 44% | 26% | 5% | - | - | - |
159 | BOLTON Eleksi M. | 2% | 12% | 29% | 33% | 19% | 5% | - |
160 | GORDON Sarah | 17% | 37% | 31% | 13% | 2% | - | - |
161 | JAVERI Amaya | 19% | 38% | 29% | 11% | 2% | - | - |
162 | CHIANG Emily | 3% | 16% | 33% | 31% | 14% | 3% | - |
162 | SULLIVAN Kate | 10% | 32% | 36% | 18% | 4% | - | - |
164 | MCKEE Ainsley | 6% | 44% | 39% | 10% | 1% | - | - |
165 | TSOI Julie | 2% | 17% | 37% | 31% | 11% | 2% | - |
165 | DAVIS Jordan | 11% | 33% | 35% | 17% | 4% | - | - |
167 | YEN Natalie | 13% | 35% | 34% | 15% | 3% | - | - |
168 | JEAN Olympe G. | 10% | 45% | 35% | 9% | 1% | - | - |
169 | MESSICK Maya | 30% | 44% | 21% | 4% | - | - | - |
169 | JUNG Irene | 22% | 41% | 28% | 9% | 1% | - | - |
171 | TSAI Anna A. | 14% | 36% | 33% | 14% | 3% | - | - |
171 | KOLL-BRAVMANN Ryder S. | 18% | 39% | 31% | 11% | 1% | - | - |
173 | CZEKAJEWSKA Sonia M. | 11% | 35% | 37% | 15% | 3% | - | - |
174 | LEUNG Ashlyn K. | 10% | 32% | 35% | 18% | 4% | 1% | - |
174 | LU Elaine | 3% | 14% | 29% | 32% | 18% | 5% | - |
176 | NG Sarah W. | 18% | 37% | 30% | 12% | 3% | - | - |
176 | LIN Lauren | 16% | 54% | 28% | 3% | - | - | - |
178 | MESCHIA Maggie | 51% | 41% | 8% | 1% | - | - | - |
179 | PYO Penelope E. | 6% | 25% | 37% | 24% | 7% | 1% | - |
179 | IYER Anaika | 16% | 41% | 32% | 10% | 1% | - | - |
181 | CRUZ Sonia | 56% | 36% | 8% | 1% | - | - | - |
182 | WUNNAVA Elina | 27% | 42% | 24% | 6% | 1% | - | - |
183 | BAKER Amelia M. | 29% | 41% | 23% | 6% | 1% | - | - |
184 | ELNATAN Mica A. | 55% | 35% | 9% | 1% | - | - | - |
185 | HENRY Soraya S. | 21% | 42% | 27% | 8% | 1% | - | |
186 | KIM Marley I. | 1% | 9% | 35% | 37% | 15% | 2% | - |
186 | BARNOVITZ Maya | 27% | 43% | 24% | 6% | 1% | - | - |
188 | SIDDIQUI Reem | 24% | 41% | 26% | 8% | 1% | - | - |
189 | SHANNON Sara | 78% | 20% | 1% | - | - | - | - |
189 | PANIGRAHI Kingsley | 11% | 34% | 36% | 16% | 3% | - | - |
189 | PATEL Karitsa | 15% | 46% | 36% | 3% | - | - | - |
189 | FLETCHER Belen | 8% | 27% | 35% | 22% | 7% | 1% | - |
193 | CHAGARES Sarah M. | 48% | 41% | 10% | 1% | - | - | |
194 | CARRASCO Elle | 39% | 44% | 15% | 2% | - | - | - |
194 | TREACY Aisling | 11% | 40% | 35% | 12% | 2% | - | - |
196 | WILMORE Claire | 27% | 54% | 17% | 2% | - | - | - |
197 | BELTRAN Emilia M. | 11% | 43% | 35% | 10% | 1% | - | - |
197 | FREY Sarah E. | 70% | 26% | 4% | - | - | - | - |
199 | EVANS Madelynn | 13% | 35% | 33% | 15% | 3% | - | - |
200 | BLUMSTEIN Alannah | 66% | 30% | 4% | - | - | - | - |
201 | LIN Sophia | 57% | 35% | 8% | 1% | - | - | - |
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.