Meadowlands Expo Center - Secaucus, NJ, 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 | PROFIS Liora | 100% | 100% | 100% | 100% | 100% | 95% | 64% |
2 | LEE Claire | 100% | 100% | 100% | 100% | 99% | 90% | 50% |
3 | RICHARDSON Meredith | 100% | 100% | 100% | 100% | 99% | 88% | 47% |
3 | WONG Sydney | 100% | 99% | 90% | 62% | 26% | 4% | |
5 | NOVOJILOV Anastasia | 100% | 100% | 100% | 100% | 99% | 90% | 53% |
6 | MISHIMA Audrey | 100% | 100% | 100% | 99% | 93% | 65% | 18% |
7 | LEE Gloria Y. | 100% | 100% | 100% | 98% | 90% | 63% | 23% |
8 | ZOU You yang (Yoyo) | 100% | 100% | 99% | 90% | 67% | 32% | 7% |
9 | CHEN Stephanie | 100% | 100% | 100% | 96% | 78% | 35% | |
10 | KUMAR Eva | 100% | 100% | 100% | 100% | 98% | 83% | 42% |
10 | BISONO Valentina | 100% | 100% | 97% | 81% | 45% | 13% | 1% |
12 | WONG Caitlin | 100% | 100% | 100% | 99% | 89% | 59% | 18% |
13 | SHAYAKHMETOVA Suzanna | 100% | 100% | 96% | 75% | 36% | 6% | |
14 | QI Julieanne | 100% | 100% | 100% | 98% | 84% | 42% | |
15 | WANG Chloe | 100% | 93% | 67% | 30% | 7% | 1% | - |
16 | NGUYEN Renee | 100% | 100% | 94% | 68% | 28% | 4% | |
17 | WANG Sophie Y. | 100% | 100% | 99% | 93% | 71% | 35% | 7% |
18 | SUICO Kyubi Emmanuelle | 100% | 100% | 100% | 97% | 82% | 44% | 7% |
19 | MA Sophie | 100% | 100% | 100% | 99% | 94% | 70% | 26% |
20 | JEYOON Lauren | 100% | 99% | 93% | 67% | 28% | 5% | - |
21 | XU Sunia (Tai Yang) | 100% | 100% | 99% | 92% | 71% | 37% | 9% |
22 | WU Madisen | 100% | 97% | 78% | 43% | 13% | 2% | - |
23 | PRESMAN Aerin | 100% | 100% | 100% | 100% | 96% | 76% | 32% |
24 | LI Alice | 100% | 100% | 98% | 86% | 58% | 24% | 4% |
25 | TAM Connie | 100% | 100% | 97% | 84% | 51% | 15% | 1% |
26 | WONG Angelina | 100% | 87% | 52% | 19% | 4% | - | - |
27 | SHEFFIELD Skye | 100% | 100% | 99% | 91% | 64% | 26% | 4% |
28 | PARK elli | 100% | 100% | 98% | 85% | 53% | 17% | 2% |
29 | ADYANTHAYA Anika | 100% | 100% | 97% | 83% | 54% | 21% | 4% |
30 | BI Michelle | 100% | 100% | 99% | 88% | 58% | 22% | 4% |
31 | PAN Angela | 100% | 100% | 100% | 95% | 75% | 36% | 7% |
32 | YAO Chloe | 100% | 100% | 95% | 72% | 35% | 8% | 1% |
33 | STERN Savannah | 100% | 100% | 100% | 98% | 87% | 57% | 18% |
34 | LI Caroline | 100% | 100% | 94% | 69% | 30% | 5% | |
35 | KANG kailin | 100% | 100% | 99% | 88% | 58% | 22% | 4% |
36 | WEI Sherry | 100% | 100% | 100% | 97% | 82% | 45% | 8% |
37 | WU Michelle | 100% | 100% | 100% | 95% | 76% | 35% | |
38 | KAUR Manroop | 100% | 100% | 100% | 96% | 78% | 36% | |
39 | WRIGHT Madison | 100% | 99% | 87% | 55% | 18% | 2% | |
40 | PETROFF Eva | 100% | 100% | 98% | 85% | 53% | 16% | 2% |
41 | DESANTIS-IBANEZ Elena | 100% | 100% | 95% | 77% | 45% | 15% | 2% |
42 | SHETH Anayaà | 100% | 97% | 78% | 45% | 16% | 3% | - |
43 | ALLIEVI Simone | 100% | 97% | 76% | 37% | 9% | 1% | - |
44 | LOBANOVA Varvara | 100% | 100% | 94% | 67% | 29% | 6% | - |
45 | LIN Laura | 100% | 100% | 100% | 99% | 89% | 57% | 14% |
46 | NAVARRO Laylah | 100% | 96% | 68% | 28% | 6% | - | |
47 | BOROTKO Katerina | 100% | 100% | 98% | 88% | 56% | 15% | |
48 | ANEZIOKORO Zahra | 100% | 98% | 86% | 55% | 20% | 3% | |
49 | JIANG chenxi | 100% | 96% | 76% | 40% | 11% | 1% | |
50 | MEYER Rebecca | 100% | 100% | 96% | 76% | 37% | 9% | 1% |
51 | KANG Yenna | 100% | 100% | 99% | 91% | 63% | 27% | 5% |
52 | GANSER Nicole | 100% | 100% | 100% | 99% | 92% | 65% | 22% |
53 | LEE Kate | 100% | 97% | 78% | 42% | 12% | 1% | - |
54 | YANG Eleanor | 100% | 100% | 98% | 86% | 54% | 20% | 3% |
55 | STEMPKOVSKA Dina | 100% | 99% | 92% | 64% | 26% | 5% | - |
56 | GOH Cayla | 100% | 98% | 85% | 55% | 23% | 5% | 1% |
57 | CHEN Alina | 100% | 100% | 93% | 67% | 28% | 4% | |
58 | WORKNEH Lulit | 100% | 99% | 91% | 60% | 21% | 3% | |
59 | CHOU Andrea | 100% | 91% | 57% | 20% | 3% | - | |
60 | ZHANG Jane | 100% | 99% | 94% | 71% | 34% | 8% | 1% |
61 | YU Eva | 100% | 100% | 97% | 79% | 44% | 12% | 1% |
62 | OLELE Ifechi | 100% | 100% | 94% | 71% | 33% | 7% | - |
63 | WANG Selina | 100% | 100% | 93% | 70% | 31% | 6% | - |
64 | BUNCH Halle | 100% | 66% | 17% | 2% | - | - | - |
65 | LI Nicole | 100% | 83% | 41% | 10% | 1% | - | - |
66 | CHAKRAPANI Tara | 100% | 64% | 19% | 3% | - | - | |
67 | DEITZ Surabhi | 100% | 80% | 40% | 11% | 1% | - | - |
68 | ZHONG Evelyn | 100% | 95% | 72% | 38% | 12% | 2% | - |
69 | KONG Mila W. | 100% | 88% | 52% | 17% | 3% | - | - |
70 | KUPPUSAMY Mahaa | 100% | 88% | 54% | 19% | 3% | - | - |
71 | TISHKOVA-ROBERTS Daria | 100% | 94% | 70% | 33% | 8% | 1% | |
72 | HOWARD Katherine | 100% | 33% | 5% | - | - | - | |
73 | JU Jennifer | 100% | 75% | 28% | 5% | - | - | |
74 | SONG Charlotte | 100% | 65% | 22% | 4% | - | - | |
75 | XU Hua | 100% | 89% | 52% | 17% | 3% | - | - |
76 | GOLIYAD Lisa | 100% | 99% | 92% | 68% | 33% | 9% | 1% |
77 | GORTI Aadya | 100% | 90% | 58% | 22% | 4% | - | - |
78 | YAN Ximei (Alicia) | 100% | 95% | 73% | 36% | 9% | 1% | - |
79 | ZHENG Erin | 100% | 97% | 79% | 44% | 13% | 2% | - |
80 | NING Miranda | 100% | 62% | 18% | 2% | - | - | - |
81 | DHAIYA Tanya | 100% | 99% | 89% | 58% | 21% | 3% | - |
81 | YU Sara | 100% | 69% | 25% | 5% | - | - | - |
83 | CHEN Yudian | 100% | 65% | 21% | 3% | - | - | - |
84 | ABRAGAN Isabel Grace | 100% | 53% | 10% | 1% | - | - | - |
85 | KAKANI Aditi | 100% | 96% | 73% | 33% | 7% | 1% | |
86 | DU Andria | 100% | 88% | 56% | 22% | 5% | 1% | - |
87 | SHABBIR Aiza | 100% | 76% | 35% | 9% | 1% | - | |
88 | WANG Sijia | 100% | 88% | 54% | 19% | 3% | - | - |
89 | XIAO Katelyn | 100% | 66% | 25% | 5% | 1% | - | - |
90 | VOSKOV Olivia | 100% | 99% | 89% | 56% | 19% | 2% | |
91 | YOUN Emily | 100% | 63% | 20% | 3% | - | - | - |
92 | YANG Angela | 100% | 64% | 16% | 2% | - | - | - |
93 | CHEN Allison | 100% | 79% | 32% | 6% | 1% | - | - |
94 | MISHIMA Olivia | 100% | 71% | 17% | 2% | - | - | - |
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.