Kansas City, MO - Kansas City, MO, 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 | CANDREVA Greta H. | - | - | - | 1% | 7% | 37% | 55% |
2 | PIRKOWSKI Amanda L. | - | - | - | - | 1% | 13% | 87% |
3 | KETKAR Ketki | - | - | 1% | 8% | 26% | 41% | 24% |
3 | JOYCE Michaela | - | - | - | 1% | 12% | 46% | 41% |
5 | LIN Jessica Y. | - | - | - | 3% | 16% | 41% | 40% |
5 | GUO ZI SHAN | - | - | - | - | 4% | 26% | 69% |
7 | DING Jiahe (Heidi) | - | - | - | 1% | 6% | 31% | 62% |
8 | KHROL Jaclyn | - | - | 1% | 5% | 22% | 42% | 30% |
9 | LURYE Sarah | - | - | 4% | 18% | 37% | 32% | 9% |
10 | PATURU Meghana | - | - | 2% | 11% | 30% | 39% | 19% |
11 | MCLANE Lauren | - | 2% | 13% | 33% | 37% | 15% | |
12 | BUCUR Rebekah O. | - | - | 3% | 14% | 34% | 37% | 12% |
13 | PARK Faith K. | - | - | - | 3% | 16% | 41% | 40% |
14 | CHOI Lyla | - | 2% | 12% | 30% | 37% | 18% | |
15 | ZUHARS Renee A. | - | 1% | 7% | 26% | 39% | 24% | 3% |
16 | RATZLAFF Jocelyn T. | - | - | - | 4% | 18% | 42% | 37% |
17 | TYLER Syd | - | 1% | 4% | 17% | 33% | 33% | 13% |
18 | WATRALL Christina | - | - | 1% | 10% | 39% | 40% | 10% |
18 | HUSISIAN Hadley N. | - | - | - | 3% | 17% | 41% | 39% |
20 | KHAMIS Yasmine A. | - | - | - | 1% | 10% | 39% | 51% |
21 | LIM Clarice | - | 3% | 16% | 37% | 35% | 9% | 1% |
22 | GANDHI Sedna S. | - | 1% | 6% | 24% | 38% | 25% | 6% |
23 | YAMANAKA Mina | - | - | 1% | 8% | 27% | 41% | 23% |
24 | YEU Irene | - | - | - | 1% | 7% | 35% | 57% |
25 | PARKER Allegra H. | 1% | 6% | 22% | 35% | 26% | 8% | 1% |
26 | RAUSCH Ariana (Ari) M. | - | - | - | 4% | 17% | 40% | 39% |
26 | LU Shiqi | - | 1% | 10% | 27% | 35% | 22% | 5% |
28 | O'DONNELL Amanda A. | - | 1% | 5% | 20% | 37% | 30% | 7% |
29 | PROCTOR Sara J. | - | - | 1% | 7% | 25% | 41% | 25% |
30 | SU Nicole | - | 2% | 12% | 29% | 35% | 19% | 3% |
31 | NING Emma | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
32 | XU Grace (XinYi) | - | 1% | 6% | 23% | 41% | 25% | 5% |
33 | ZOZULYA Christina S. | - | - | - | 3% | 23% | 47% | 28% |
34 | WANG Karen | - | - | - | 2% | 19% | 50% | 29% |
35 | BEI Karen | 3% | 16% | 32% | 31% | 15% | 4% | - |
36 | BULAVKO Sonia | - | 1% | 6% | 21% | 36% | 28% | 8% |
38 | ZHENG Ava | - | 2% | 13% | 30% | 33% | 18% | 4% |
39 | SEMIKIN Julia | - | 1% | 7% | 24% | 38% | 25% | 5% |
40 | LIVERANT Jordan S. | - | 1% | 7% | 25% | 36% | 25% | 6% |
41 | CHEN Zhengnan(Janet) | - | - | 2% | 10% | 28% | 39% | 21% |
42 | GABERKORN Nadia | - | - | 2% | 12% | 39% | 38% | 9% |
43 | MYERS Helen Sophia A. | - | 4% | 20% | 35% | 29% | 10% | 1% |
44 | QURESHI Aafreen | 2% | 14% | 32% | 33% | 16% | 3% | - |
45 | HENRY Asha S. | 1% | 10% | 26% | 33% | 22% | 7% | 1% |
45 | KIM Diane E. | - | 8% | 29% | 37% | 21% | 5% | - |
47 | ROBLES Elena | - | 3% | 16% | 33% | 31% | 14% | 2% |
48 | PYO Yunice | - | 1% | 6% | 20% | 35% | 29% | 9% |
49 | WHITTEMORE Lucy K. | - | 6% | 27% | 42% | 20% | 4% | - |
50 | MILLETTE Marie Frederique | - | - | 4% | 21% | 40% | 28% | 5% |
51 | BOYS Nishta B. | - | 1% | 8% | 24% | 36% | 25% | 6% |
52 | CHU Audrey | - | 5% | 18% | 32% | 29% | 13% | 2% |
53 | COBERT Helen G. | - | 4% | 20% | 35% | 29% | 10% | 1% |
54 | MILLER Veronica | 11% | 31% | 33% | 18% | 5% | 1% | - |
55 | MUCSI Anna M. | - | 1% | 7% | 23% | 37% | 26% | 6% |
56 | KETKAR Mallika | - | 5% | 22% | 36% | 27% | 9% | 1% |
56 | LEE kyungmin | - | 1% | 5% | 19% | 36% | 30% | 9% |
58 | XIA Chelsea W. | - | 7% | 24% | 36% | 25% | 8% | 1% |
59 | ROBERTSON Lily | 1% | 9% | 25% | 34% | 24% | 7% | 1% |
60 | MACHULSKY Leehi | - | - | 1% | 8% | 26% | 41% | 25% |
61 | LEE Michelle | 2% | 14% | 31% | 32% | 17% | 4% | - |
62 | GAO Aretha R. | - | 2% | 12% | 29% | 34% | 19% | 4% |
63 | KULKARNI Diya | - | - | - | 3% | 19% | 46% | 32% |
64 | KHROL Caralina | - | - | 1% | 5% | 24% | 45% | 25% |
65 | HU Grace | - | - | 3% | 20% | 44% | 29% | 3% |
66 | WU Amelia | - | - | 1% | 9% | 33% | 41% | 16% |
67 | LEUNG Natalie | - | 4% | 18% | 32% | 30% | 13% | 2% |
68 | WEISS Talia L. | - | 1% | 5% | 19% | 35% | 31% | 10% |
69 | LIN Julia L. | 3% | 20% | 41% | 28% | 7% | 1% | - |
70 | SCHAFF Marlene M. | 23% | 41% | 27% | 8% | 1% | < 1% | - |
71 | POIRIER Ariane | 2% | 15% | 35% | 33% | 13% | 2% | - |
72 | SHOATES Jacqueline A. | - | - | 1% | 6% | 23% | 41% | 29% |
73 | YOON Julia J. | 3% | 20% | 36% | 29% | 11% | 2% | |
74 | KWON Athina | 1% | 9% | 27% | 36% | 22% | 6% | 1% |
75 | WOLF Isabella A. | 2% | 12% | 29% | 34% | 19% | 5% | - |
76 | JANOWSKI Madeline (Madeline Janowski) A. | 3% | 17% | 33% | 30% | 13% | 3% | - |
77 | LEE Sumin | - | 3% | 16% | 34% | 32% | 13% | 1% |
78 | GUMAGAY Erika L. | 3% | 17% | 36% | 32% | 11% | 1% | - |
79 | DROVETSKY Alexandra M. | - | - | 2% | 10% | 29% | 40% | 20% |
80 | SMITH Grace L. | - | 3% | 17% | 35% | 32% | 12% | 1% |
81 | CHIN Isabella | - | 1% | 5% | 19% | 36% | 30% | 9% |
82 | GU Sarah | 1% | 7% | 23% | 33% | 25% | 9% | 1% |
83 | KUNDU Anisha | - | - | 3% | 17% | 40% | 34% | 7% |
84 | BARNES Olivia R. | 1% | 6% | 20% | 33% | 28% | 11% | 1% |
85 | CHAN Cheri K. | - | 1% | 13% | 42% | 35% | 9% | 1% |
86 | LEANG Andrea K. | - | 3% | 12% | 29% | 34% | 18% | 3% |
87 | KWON Tiara | 13% | 39% | 34% | 12% | 2% | - | - |
88 | LOWENSTEIN Penelope J. | - | 3% | 15% | 31% | 32% | 16% | 3% |
89 | YANG Miranda (Yinuo) | - | 6% | 22% | 36% | 26% | 9% | 1% |
90 | PERALTA-VIRTUE Kamilla M. | - | 1% | 5% | 20% | 36% | 30% | 8% |
91 | NGUYEN Kaylin A. | - | 2% | 11% | 32% | 39% | 16% | |
92 | DOUGLAS Julia F. | 3% | 16% | 32% | 31% | 14% | 3% | |
93 | WU Fan | 5% | 22% | 37% | 27% | 8% | 1% | |
94 | GILBRETH Meghan G. | 10% | 31% | 36% | 19% | 5% | - | |
95 | ZHANG Tina | 2% | 12% | 31% | 34% | 17% | 4% | - |
96 | WANG anne | 6% | 25% | 38% | 23% | 7% | 1% | - |
97 | WANG Elizabeth | - | - | 3% | 13% | 31% | 37% | 17% |
98 | DESAMOURS Sabine I. | - | - | - | 4% | 24% | 53% | 19% |
99 | BURN Lauren M. | - | 3% | 21% | 42% | 27% | 6% | - |
100 | KOWALSKY Rachel A. | - | 2% | 14% | 33% | 34% | 15% | 2% |
102 | OH Kaitlin Y. | 8% | 30% | 39% | 19% | 3% | - | - |
102 | SUN Angelica | 1% | 10% | 27% | 35% | 21% | 5% | - |
104 | ZAFFT Tatiana M. | - | 3% | 13% | 30% | 35% | 17% | 3% |
105 | JI Catherine | 1% | 7% | 26% | 37% | 23% | 6% | 1% |
106 | MUCSI Angela Lilla | - | 1% | 8% | 34% | 42% | 13% | 1% |
107 | CHAN Elizabeth | - | 2% | 12% | 31% | 34% | 18% | 3% |
107 | SHEN Stephanie | 3% | 22% | 36% | 27% | 10% | 2% | - |
109 | BELSLEY Devon K. | - | 2% | 11% | 32% | 40% | 15% | - |
110 | LAVERY Chloe K. | 7% | 31% | 37% | 20% | 5% | 1% | - |
111 | ZHAO Yingying | 19% | 38% | 30% | 11% | 2% | - | - |
112 | OGAWA Kaylin | - | 2% | 9% | 26% | 36% | 22% | 5% |
113 | LEE Olive | 3% | 16% | 34% | 31% | 13% | 2% | - |
114 | GEBALA Natalie Brooke A. | 1% | 6% | 23% | 37% | 26% | 7% | |
115 | BELAOUSSOFF Kira | 2% | 12% | 29% | 33% | 19% | 5% | - |
115 | SOIN Anika A. | 7% | 26% | 36% | 23% | 7% | 1% | - |
117 | WADE-CURRIE Ava S. | - | - | 4% | 20% | 42% | 32% | 2% |
117 | AHUJA Arianna | 1% | 6% | 19% | 33% | 28% | 11% | 2% |
119 | CAPELLUA Mariasole | 1% | 20% | 38% | 29% | 10% | 2% | - |
120 | TONG Sarah Shen | - | 5% | 22% | 36% | 27% | 9% | 1% |
121 | MYERS Jeanelle Christina A. | 52% | 37% | 10% | 1% | - | - | - |
122 | KAUR Simarpreet | 1% | 8% | 26% | 36% | 23% | 6% | 1% |
123 | LIU Christina A. | - | 3% | 13% | 31% | 35% | 17% | 1% |
124 | ERTAS Eileen | 6% | 38% | 39% | 14% | 2% | - | - |
125 | BAJAJ Nikita K. | 18% | 37% | 30% | 12% | 3% | - | - |
126 | KIM Elizabeth Y. | 4% | 27% | 39% | 23% | 7% | 1% | - |
127 | LI Bingqi | 4% | 24% | 39% | 25% | 8% | 1% | - |
128 | LEANG Priscilla Y. | - | < 1% | 3% | 17% | 35% | 33% | 11% |
129 | WANG Nora | 9% | 31% | 37% | 19% | 4% | - | - |
130 | MYLER AnneMarie | - | - | 2% | 10% | 28% | 39% | 21% |
131 | KANG Dahyun | - | 4% | 17% | 33% | 31% | 14% | 2% |
132 | PARK Ashley Y. | 9% | 32% | 38% | 18% | 3% | - | - |
133 | NI Emma | 1% | 9% | 24% | 33% | 24% | 9% | 1% |
134 | CHEUNG Ho Huen | 13% | 35% | 33% | 15% | 3% | - | - |
135 | HAN Jaewon(Leah) | - | 2% | 14% | 32% | 34% | 15% | 2% |
136 | JIANG Claire | 21% | 41% | 28% | 8% | 1% | - | |
137 | REID Sobia | 2% | 12% | 28% | 33% | 20% | 5% | - |
138 | BUCUR Naomi | 3% | 18% | 35% | 30% | 12% | 2% | - |
139 | DONDISCH Sophia | 16% | 37% | 31% | 13% | 3% | - | - |
140 | LUO Ashley | 1% | 9% | 32% | 40% | 16% | 2% | - |
141 | RUNIONS Emersyn | - | 3% | 15% | 32% | 33% | 15% | 2% |
142 | MCCUTCHEN Lauren (Lulu) | - | 3% | 16% | 34% | 31% | 13% | 2% |
143 | KIM Erika S. | 9% | 34% | 36% | 16% | 3% | - | - |
144 | WATKINS Josephine M. | 40% | 43% | 15% | 2% | - | - | - |
145 | LIN Waiyuk | 2% | 11% | 27% | 33% | 20% | 6% | 1% |
146 | HUANG Hannah T. | 6% | 45% | 36% | 11% | 2% | - | - |
147 | MALDONADO Pilar I. | - | 5% | 22% | 37% | 27% | 8% | - |
148 | WU ALLYSON | 5% | 21% | 34% | 27% | 11% | 2% | - |
149 | JIN Jasmine | 1% | 7% | 22% | 34% | 26% | 9% | 1% |
150 | YOUNG Ashley | - | 3% | 16% | 34% | 32% | 13% | 2% |
151 | SU Vivienne | 33% | 45% | 19% | 3% | - | - | - |
152 | APONTE Monica I. | 47% | 39% | 12% | 2% | - | - | - |
153 | DUNBAR Breck L. | 20% | 39% | 29% | 10% | 2% | - | - |
154 | BALAKRISHNAN Monica S. | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
155 | GALLON Maya S. | 11% | 35% | 36% | 15% | 3% | - | - |
156 | TERRELL Gabriella | 59% | 35% | 5% | - | - | - | - |
157 | ANDERSON Nora E. | 19% | 37% | 29% | 12% | 3% | - | - |
158 | DUAN Jenny S. | 9% | 40% | 37% | 13% | 2% | - | - |
159 | DARANOUVONG Logan | 24% | 41% | 26% | 8% | 1% | - | - |
160 | FILIPPOV Nika D. | 3% | 15% | 31% | 32% | 16% | 3% | |
161 | EXCONDE Solana M. | 4% | 18% | 34% | 30% | 13% | 2% | |
162 | FENG Kelly L. | 3% | 16% | 32% | 30% | 15% | 4% | - |
163 | ZHOU Emily | 5% | 30% | 46% | 17% | 2% | - | - |
164 | REITINGER Emilie B. | - | 4% | 17% | 34% | 31% | 12% | 2% |
164 | MILEWSKI Nicole | 2% | 14% | 34% | 33% | 14% | 3% | - |
164 | ELLENT Isabella S. | 1% | 18% | 44% | 29% | 7% | 1% | - |
164 | POITRAS Sophie | 29% | 49% | 19% | 3% | - | - | - |
168 | TOMASELLO Olivia E. | 8% | 30% | 37% | 20% | 5% | 1% | - |
168 | XING Carol | 1% | 9% | 31% | 39% | 18% | 3% | - |
170 | CHIODI Isabella M. | 5% | 24% | 39% | 26% | 6% | 1% | - |
171 | BOLES Savvianna | 31% | 44% | 20% | 4% | - | - | - |
172 | LIN Katie Y. | - | 1% | 8% | 24% | 36% | 25% | 6% |
173 | SHERTZ Kira E. | 54% | 35% | 9% | 1% | - | - | - |
174 | CHAWLA Ishika | 20% | 39% | 29% | 11% | 2% | - | - |
174 | LI Tiffany | 70% | 26% | 4% | - | - | - | - |
176 | OPERARIO Abigail Z. | 6% | 24% | 35% | 25% | 9% | 1% | - |
177 | TAYLOR Kiera S. | 2% | 13% | 31% | 33% | 17% | 4% | - |
178 | FALLON Kyle R. | 10% | 30% | 34% | 19% | 6% | 1% | - |
179 | DUTTA Amelia | 77% | 21% | 2% | - | - | - | - |
180 | RUMMEL Katherine E. | 4% | 20% | 34% | 28% | 12% | 2% | - |
181 | SAAL Anna | 3% | 20% | 42% | 27% | 7% | 1% | - |
182 | DE JAGER Celine | 31% | 43% | 21% | 5% | - | - | - |
183 | MOSKOFF Tessa | 2% | 15% | 36% | 33% | 13% | 2% | - |
184 | SU Vera | 41% | 40% | 16% | 3% | - | - | - |
185 | PARTE Isabella B. | 13% | 37% | 34% | 13% | 2% | - | |
186 | PEREZ Gabriella (Gabi) S. | 6% | 26% | 38% | 23% | 6% | 1% | - |
187 | SON Katherine (Injee) | 2% | 16% | 34% | 31% | 14% | 3% | - |
188 | EBRAHIM Ameera H. | 8% | 29% | 36% | 21% | 6% | 1% | - |
189 | ZHOU Lei | 23% | 42% | 27% | 7% | 1% | - | - |
190 | ZAKHAROV Anne E. | 13% | 46% | 32% | 7% | 1% | - | - |
191 | GOLDBERG Sophie C. | 10% | 34% | 37% | 16% | 3% | - | - |
191 | DESAI Meera P. | 1% | 12% | 30% | 34% | 18% | 4% | - |
193 | SMUK Daria A. | 1% | 9% | 24% | 33% | 23% | 8% | 1% |
193 | PALMER Amelia C. | 2% | 17% | 38% | 32% | 10% | 1% | - |
193 | KIM Annabelle | 58% | 35% | 7% | - | - | - | - |
196 | HAMILTON Nina M. | 31% | 43% | 21% | 5% | 1% | - | - |
197 | DILAWRI Anika | 35% | 42% | 19% | 4% | - | - | - |
198 | MOK Chloe R. | 53% | 36% | 9% | 1% | - | - | - |
199 | LEWIS Frances Morgan | 28% | 51% | 19% | 2% | - | - | - |
200 | JOYAL Anne-Sophie | 88% | 12% | 1% | - | - | - | - |
201 | SINHA Zara | 52% | 38% | 9% | 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.