Philadelphia, PA - Philadelphia, PA, USA
Explore the probability of achieving at least a certain number of victories in the pool 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 | MIKA Veronica | 100% | 100% | 100% | 100% | 96% | 77% | 36% |
2 | HILD Nisha | 100% | 100% | 100% | 99% | 89% | 59% | 19% |
3 | FREEDMAN Janna N. | 100% | 100% | 100% | 100% | 99% | 90% | 55% |
3 | SHOMAN Jenna | 100% | 100% | 100% | 100% | 100% | 98% | 77% |
5 | ENGELMAN-SANZ Madeline A. | 100% | 100% | 100% | 100% | 100% | 96% | 67% |
6 | KRASTEV Minna | 100% | 100% | 100% | 99% | 89% | 59% | 18% |
7 | WIGGERS Susan Q. | 100% | 100% | 100% | 99% | 93% | 69% | 26% |
8 | CHIN Sophia J. | 100% | 100% | 99% | 93% | 72% | 36% | 8% |
9 | LEE Hannah | 100% | 100% | 99% | 95% | 77% | 44% | 12% |
10 | LI Amanda C. | 100% | 100% | 100% | 100% | 100% | 95% | 65% |
11 | GRAFF Sophie | 100% | 100% | 99% | 89% | 61% | 25% | 4% |
12 | ANDRES Charmaine G. | 100% | 100% | 100% | 99% | 91% | 65% | 25% |
13 | BALAKUMARAN Maya | 100% | 100% | 100% | 99% | 90% | 62% | 21% |
14 | TSUI Natalie | 100% | 100% | 99% | 91% | 66% | 30% | 6% |
15 | PAUL Lila | 100% | 100% | 100% | 98% | 89% | 62% | 23% |
16 | MARYASH Samantha | 100% | 100% | 95% | 77% | 41% | 10% | 1% |
17 | JUNG Irene | 100% | 100% | 99% | 92% | 63% | 20% | |
18 | BEVACQUA Aria F. | 100% | 100% | 100% | 99% | 93% | 67% | 24% |
18 | HUNG Anna | 100% | 100% | 95% | 76% | 42% | 12% | 1% |
20 | YANG Angelina LeLe | 100% | 100% | 99% | 90% | 66% | 31% | 6% |
21 | GOMES Diana C. | 100% | 97% | 83% | 52% | 21% | 5% | - |
22 | GHAYALOD reya | 100% | 100% | 100% | 98% | 88% | 61% | 22% |
23 | SCHIMINOVICH Sophia I. | 100% | 100% | 98% | 90% | 67% | 32% | 7% |
24 | MANSPERGER Leena | 100% | 100% | 100% | 95% | 70% | 26% | |
25 | FANG Victoria W. | 100% | 100% | 100% | 97% | 84% | 48% | 8% |
25 | TSE Angelina | 100% | 100% | 100% | 99% | 90% | 62% | 21% |
27 | LIGH Erenei J. | 100% | 100% | 98% | 86% | 57% | 22% | 3% |
28 | DUCKETT Madison | 100% | 100% | 100% | 99% | 90% | 57% | 8% |
29 | YUAN Greta | 100% | 100% | 99% | 89% | 60% | 22% | 3% |
30 | ANTHONY Alexia B. | 100% | 100% | 100% | 99% | 91% | 64% | 22% |
31 | KONG Carys H. | 100% | 100% | 100% | 98% | 88% | 58% | 18% |
32 | OBRADOVIC Ana | 100% | 100% | 97% | 78% | 37% | 7% | |
33 | KER Grace | 100% | 100% | 100% | 100% | 98% | 83% | 39% |
34 | LIU Sophie | 100% | 100% | 100% | 96% | 79% | 41% | 6% |
35 | HWANG Gabriela M. | 100% | 100% | 100% | 96% | 79% | 44% | 11% |
36 | WEI Vivian W. | 100% | 100% | 98% | 88% | 61% | 26% | 4% |
37 | CHANG Audrey | 100% | 99% | 91% | 66% | 31% | 7% | 1% |
38 | SOURIMTO Valeria | 100% | 100% | 100% | 99% | 92% | 65% | 20% |
39 | VADASZ Ibla P. | 100% | 100% | 100% | 99% | 90% | 62% | 22% |
40 | KIM Marley I. | 100% | 100% | 97% | 85% | 56% | 22% | 3% |
40 | TSOI Julie | 100% | 98% | 83% | 51% | 19% | 4% | - |
42 | NATH Trisha | 100% | 99% | 93% | 73% | 39% | 11% | 1% |
43 | SINHA Anika | 100% | 100% | 99% | 92% | 71% | 36% | 8% |
44 | JOHNSON Dagny L. | 100% | 100% | 99% | 90% | 62% | 26% | 4% |
45 | FESTA Carina | 100% | 99% | 93% | 71% | 36% | 9% | 1% |
46 | BUHAY Kirsten M. | 100% | 100% | 93% | 67% | 27% | 4% | - |
47 | YANG Ashley M. | 100% | 100% | 100% | 99% | 94% | 72% | 29% |
48 | ALCEBAR Kayla | 100% | 100% | 100% | 98% | 87% | 56% | 17% |
49 | BARNOVITZ Maya | 100% | 98% | 85% | 49% | 16% | 2% | - |
50 | LUKER Sophia | 100% | 100% | 95% | 72% | 34% | 8% | 1% |
51 | TABANGAY Heartlyn | 100% | 100% | 99% | 94% | 75% | 40% | 10% |
52 | ERIKSON Kira R. | 100% | 99% | 93% | 72% | 38% | 12% | 1% |
53 | XU Emily T. | 100% | 99% | 91% | 67% | 32% | 8% | 1% |
53 | JOHNSON Lydia | 100% | 99% | 91% | 63% | 26% | 5% | - |
55 | FAN Grace | 100% | 94% | 73% | 39% | 13% | 2% | - |
56 | SHI Cathleen | 100% | 100% | 98% | 88% | 62% | 28% | 6% |
56 | FANG sophie | 100% | 95% | 73% | 36% | 10% | 1% | - |
58 | NATHANSON Sammy E. | 100% | 100% | 100% | 96% | 79% | 43% | 11% |
58 | YANG Lea | 100% | 98% | 85% | 56% | 24% | 6% | 1% |
60 | EVANS Madelynn | 100% | 98% | 84% | 47% | 13% | 1% | - |
61 | CHEN Kevy | 100% | 99% | 82% | 38% | 9% | 1% | |
62 | KHAN Alissa | 100% | 99% | 93% | 70% | 33% | 7% | - |
63 | SHINCHUK Ellisha | 100% | 93% | 67% | 33% | 10% | 1% | - |
64 | ZHANG Sophie | 100% | 93% | 69% | 33% | 9% | 1% | - |
65 | NAYAK Indra | 100% | 99% | 91% | 67% | 33% | 9% | 1% |
66 | HE Lizbeth | 100% | 100% | 97% | 81% | 45% | 13% | 1% |
67 | DENG Brooke | 100% | 98% | 86% | 56% | 21% | 3% | - |
68 | ALTIRS Kate | 100% | 97% | 82% | 49% | 17% | 2% | - |
69 | MAKLIN Sofia | 100% | 100% | 96% | 79% | 46% | 15% | 2% |
70 | KRIVOSHEEV Alexandra | 100% | 100% | 96% | 81% | 50% | 17% | 2% |
71 | KANTIPUDI Shrika | 100% | 99% | 90% | 64% | 28% | 6% | - |
72 | SCHAIBLE Sofia L. | 100% | 98% | 87% | 59% | 27% | 7% | 1% |
73 | BAWA Anahat | 100% | 98% | 86% | 56% | 22% | 5% | - |
74 | BOLTON Eleksi M. | 100% | 95% | 74% | 40% | 13% | 2% | - |
74 | FLATT Sophia | 100% | 97% | 81% | 46% | 15% | 2% | - |
76 | FEIG Sela | 100% | 96% | 78% | 43% | 14% | 2% | - |
77 | GRULICH Rayaana | 100% | 90% | 57% | 20% | 4% | - | - |
77 | CHOU Amy R. | 100% | 95% | 73% | 37% | 11% | 1% | - |
79 | HUANG Rachael | 100% | 100% | 96% | 78% | 39% | 7% | - |
80 | HU Michelle | 100% | 93% | 68% | 31% | 8% | 1% | - |
81 | MANN Sophia J. | 100% | 93% | 69% | 34% | 10% | 2% | - |
82 | GARRETT Madrid | 100% | 95% | 73% | 38% | 12% | 2% | - |
83 | JAVERI Amaya | 100% | 92% | 61% | 25% | 6% | 1% | - |
84 | ZHENG Valentina | 100% | 86% | 49% | 16% | 3% | - | - |
85 | XA-CHIN Sara | 100% | 86% | 53% | 20% | 4% | - | - |
86 | NAYAK Esha | 100% | 98% | 59% | 17% | 2% | - | |
87 | CZEKAJEWSKA Sonia M. | 100% | 99% | 91% | 65% | 29% | 7% | 1% |
88 | FERREIRA Alejandra E. | 100% | 100% | 98% | 85% | 52% | 17% | 2% |
89 | MCKEE Ainsley | 100% | 98% | 86% | 56% | 22% | 4% | - |
90 | MONTORIO Lily M. | 100% | 81% | 41% | 11% | 1% | - | - |
91 | SCHOEW Margot | 100% | 93% | 66% | 28% | 6% | 1% | - |
92 | REN Xinling | 100% | 98% | 86% | 55% | 22% | 5% | - |
93 | MEDVINSKY Alexandra | 100% | 93% | 69% | 34% | 10% | 1% | - |
94 | LEUNG Ashlyn K. | 100% | 88% | 54% | 20% | 4% | - | - |
95 | GUTHIKONDA Sunanya | 100% | 99% | 93% | 68% | 31% | 6% | - |
95 | JEONG Katie | 100% | 98% | 87% | 58% | 24% | 6% | - |
97 | ELNATAN Mica A. | 100% | 78% | 38% | 11% | 2% | - | - |
98 | NAYAK Anika | 100% | 96% | 78% | 44% | 14% | 2% | - |
99 | SHEARER Alena | 100% | 92% | 63% | 26% | 5% | - | - |
100 | MESSICK Maya | 100% | 81% | 42% | 13% | 2% | - | - |
101 | HAMBAZAZA Liisa | 100% | 99% | 89% | 62% | 28% | 7% | 1% |
102 | ZENG Sarah | 100% | 74% | 28% | 5% | - | - | - |
103 | HAMMERSTROM Aria | 100% | 65% | 24% | 5% | - | - | - |
104 | LAGOON Miriam | 100% | 90% | 51% | 15% | 2% | - | - |
105 | HUAI Delilah | 100% | 96% | 76% | 40% | 12% | 2% | - |
106 | YOUNG Audrey | 100% | 94% | 70% | 36% | 11% | 2% | - |
107 | LIN Lauren | 100% | 73% | 32% | 8% | 1% | - | - |
108 | LEMUS-IAKOVIDOU ALEXANDRA | 100% | 98% | 83% | 52% | 20% | 4% | - |
108 | ROBINSON Adeline | 100% | 63% | 18% | 2% | - | - | - |
110 | NGUYEN Siena | 100% | 99% | 91% | 65% | 30% | 8% | 1% |
111 | CHAPMAN-LAYLAND Astrid M. | 100% | 98% | 87% | 60% | 27% | 7% | 1% |
112 | KOKAL Genevieve | 100% | 47% | 9% | 1% | - | - | - |
113 | COLBY Mercer | 100% | 74% | 32% | 7% | 1% | - | - |
114 | TUNG Renee | 100% | 85% | 48% | 15% | 2% | - | - |
114 | YAN Lena | 100% | 93% | 67% | 31% | 8% | 1% | - |
114 | XU ALINA | 100% | 91% | 63% | 28% | 8% | 1% | - |
114 | DAI Olivia | 100% | 85% | 50% | 18% | 3% | - | - |
118 | LIU Sydney | 100% | 92% | 67% | 33% | 9% | 1% | - |
119 | CHIANG Melissa | 100% | 79% | 38% | 10% | 1% | - | - |
119 | CHO Michelle | 100% | 60% | 19% | 3% | - | - | - |
121 | STONE Coral | 100% | 59% | 19% | 3% | - | - | - |
122 | GOSAVI Aabolee | 100% | 9% | - | - | - | - | |
123 | TONG Jessie | 100% | 89% | 56% | 21% | 4% | - | - |
124 | NICHOLAS Eva | 100% | 76% | 29% | 6% | 1% | - | - |
125 | LIU Yifei | 100% | 70% | 24% | 4% | - | - | - |
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.