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 | GUGALA Hanna | 100% | 100% | 100% | 98% | 89% | 61% | 21% |
2 | GOMERMAN Sophia | 100% | 100% | 100% | 100% | 95% | 75% | 33% |
3 | DHAR Layla | 100% | 100% | 97% | 84% | 53% | 16% | |
3 | WANG yining | 100% | 100% | 100% | 98% | 87% | 59% | 21% |
5 | LUKER Sophia | 100% | 100% | 100% | 100% | 100% | 93% | 57% |
6 | CHIARELLI Valentina | 100% | 100% | 100% | 100% | 99% | 88% | 50% |
7 | SHEN Emily | 100% | 97% | 80% | 47% | 17% | 3% | - |
8 | DAMBAL Sasha | 100% | 100% | 97% | 82% | 49% | 14% | |
9 | SHINCHUK Ellisha | 100% | 100% | 100% | 97% | 80% | 43% | 10% |
10 | HU Anna | 100% | 100% | 100% | 99% | 94% | 65% | 16% |
11 | LEE Alyson | 100% | 99% | 94% | 72% | 37% | 10% | 1% |
12 | LATYSHAVA Stephanie | 100% | 100% | 96% | 82% | 50% | 17% | 2% |
13 | MANKOVA Varvara | 100% | 100% | 100% | 99% | 91% | 63% | 22% |
14 | HUANG Rachael | 100% | 100% | 100% | 99% | 94% | 75% | 34% |
15 | PROBASCO Leila | 100% | 99% | 95% | 77% | 45% | 15% | 2% |
16 | LI Sonia | 100% | 99% | 92% | 69% | 34% | 9% | 1% |
17 | SCHAIBLE Sofia L. | 100% | 100% | 100% | 97% | 83% | 50% | 15% |
18 | ZHAN Sophie | 100% | 100% | 99% | 91% | 63% | 22% | |
19 | HAMMERSTROM Aria | 100% | 100% | 99% | 90% | 66% | 29% | 5% |
20 | CHI Claire | 100% | 96% | 77% | 45% | 16% | 3% | - |
21 | ZHANG Sophie | 100% | 100% | 100% | 100% | 96% | 79% | 38% |
22 | DONG Angel | 100% | 100% | 100% | 97% | 84% | 52% | 16% |
23 | NEUMAN Ella | 100% | 98% | 84% | 52% | 19% | 3% | |
24 | KANDADAI Lara | 100% | 100% | 99% | 91% | 65% | 28% | 5% |
25 | MERCHANT Aishwarya | 100% | 100% | 100% | 96% | 79% | 41% | 8% |
26 | LOURENCO Alexandra | 100% | 99% | 91% | 67% | 33% | 9% | 1% |
27 | TA-ZHOU Emma | 100% | 98% | 84% | 52% | 18% | 2% | |
28 | BERRIOS Catalina | 100% | 94% | 69% | 33% | 8% | 1% | |
29 | MONTORIO Lily M. | 100% | 100% | 99% | 92% | 68% | 28% | 4% |
30 | NAYAK Antara | 100% | 97% | 78% | 44% | 15% | 3% | - |
31 | NAYAK Esha | 100% | 100% | 96% | 82% | 53% | 21% | 3% |
32 | CHANG Norah | 100% | 92% | 63% | 25% | 5% | - | - |
33 | LI Alexis | 100% | 100% | 98% | 89% | 63% | 27% | 4% |
34 | LOO Kaitlyn | 100% | 100% | 100% | 96% | 81% | 46% | 11% |
34 | VINOKUR Anita | 100% | 100% | 99% | 93% | 71% | 35% | 7% |
36 | BERMAN Greta | 100% | 100% | 100% | 99% | 91% | 64% | 23% |
37 | AWAD Royce | 100% | 98% | 83% | 49% | 16% | 2% | |
38 | LEOU Korina | 100% | 100% | 96% | 79% | 43% | 10% | |
39 | MUND Ruth | 100% | 100% | 100% | 100% | 97% | 81% | 39% |
40 | BUSH Bethany | 100% | 100% | 99% | 94% | 72% | 34% | 7% |
41 | RANDALL-COLLINS Shea M. | 100% | 96% | 77% | 42% | 13% | 2% | - |
42 | BROWN Aria | 100% | 97% | 83% | 51% | 19% | 4% | - |
43 | CHAVAN Arya | 100% | 100% | 95% | 79% | 48% | 18% | 3% |
44 | ZHENG Valentina | 100% | 100% | 100% | 98% | 86% | 55% | 17% |
45 | SEVASTOPULO Sahra | 100% | 78% | 39% | 12% | 2% | - | - |
46 | SHMULER Fiona | 100% | 93% | 67% | 30% | 8% | 1% | - |
47 | MALEK Zolie | 100% | 100% | 99% | 92% | 66% | 25% | |
48 | MARGULIAN Maria | 100% | 100% | 97% | 79% | 41% | 9% | |
49 | LIM Alexa J. | 100% | 97% | 71% | 31% | 7% | 1% | |
50 | PRESANTH Nandana | 100% | 100% | 98% | 86% | 51% | 13% | 1% |
51 | BAIK Sarah | 100% | 98% | 86% | 54% | 19% | 3% | - |
52 | CAO Sophie | 100% | 100% | 97% | 82% | 52% | 19% | 3% |
53 | KHOST Maeve | 100% | 100% | 95% | 72% | 31% | 5% | - |
54 | STADNIK Emilia | 100% | 98% | 83% | 53% | 21% | 5% | - |
55 | FABRICANT Kioka R. | 100% | 98% | 76% | 36% | 8% | 1% | |
56 | DUTA Lyra | 100% | 92% | 64% | 28% | 7% | 1% | |
57 | MANI Francesca B. | 100% | 99% | 91% | 68% | 35% | 10% | 1% |
57 | WONG Charlene | 100% | 91% | 62% | 27% | 6% | 1% | - |
57 | MAO anna | 100% | 92% | 64% | 28% | 7% | 1% | - |
60 | CHOI Charlotte | 100% | 95% | 74% | 39% | 12% | 2% | - |
60 | MAK Kaitlin | 100% | 99% | 91% | 67% | 32% | 9% | 1% |
62 | LEE Kaitlin | 100% | 90% | 54% | 18% | 3% | - | - |
63 | BORGUETA Madison | 100% | 92% | 66% | 32% | 9% | 1% | - |
64 | SPEARS Mya B | 100% | 100% | 100% | 98% | 88% | 59% | 18% |
65 | BAIREDDY Maya | 100% | 99% | 91% | 67% | 34% | 9% | 1% |
66 | SRINATH Lyra A. | 100% | 87% | 53% | 19% | 4% | - | - |
67 | KIM Audrey | 100% | 94% | 69% | 34% | 10% | 1% | - |
68 | ZHANG Ashley | 100% | 97% | 79% | 45% | 15% | 2% | - |
69 | BAINS Nandini | 100% | 99% | 92% | 69% | 34% | 9% | 1% |
70 | MERMEGAS Olivia | 100% | 97% | 82% | 51% | 20% | 4% | - |
71 | BIBLER Anna | 100% | 95% | 73% | 38% | 12% | 2% | - |
72 | WANG JiaQi | 100% | 99% | 93% | 73% | 40% | 13% | 1% |
73 | PASUPULETI Laya | 100% | 70% | 26% | 5% | - | - | - |
74 | PROZUMENT Elizabeth | 100% | 96% | 77% | 41% | 12% | 2% | - |
75 | MYAT Chloe | 100% | 100% | 99% | 89% | 58% | 22% | 3% |
76 | MACKAY Katherine | 100% | 97% | 76% | 40% | 11% | 2% | - |
77 | XU Elaine | 100% | 87% | 53% | 19% | 3% | - | - |
78 | XU Demi | 100% | 89% | 54% | 17% | 2% | - | - |
79 | KWON Ava | 100% | 100% | 97% | 82% | 46% | 11% | |
80 | ILAGAN Ava | 100% | 85% | 49% | 16% | 3% | - | |
81 | ROHATGI Saanvi | 100% | 35% | 5% | - | - | - | |
82 | GUHA Surabhi | 100% | 92% | 65% | 29% | 7% | 1% | - |
83 | VATS Ishita | 100% | 93% | 61% | 21% | 3% | - | - |
84 | KALISHMAN Anna | 100% | 77% | 37% | 10% | 2% | - | - |
85 | MAO Elsa | 100% | 88% | 50% | 14% | 2% | - | - |
86 | VISWANATHAN Nishka | 100% | 87% | 52% | 17% | 3% | - | - |
87 | SHELLEY Scarlett | 100% | 83% | 45% | 13% | 2% | - | - |
88 | HUANG Zoe | 100% | 62% | 19% | 3% | - | - | - |
89 | RANJAN Diya | 100% | 86% | 50% | 18% | 3% | - | |
90 | TSANG Therese | 100% | 76% | 36% | 10% | 1% | - | - |
91 | CHAN Madeleine V. | 100% | 81% | 41% | 12% | 2% | - | |
92 | GENTILE Vittoria | 100% | 91% | 64% | 30% | 8% | 1% | - |
93 | RIFKIN Lielle | 100% | 82% | 44% | 14% | 2% | - | - |
94 | LEIGH Adalene | 100% | 72% | 31% | 7% | 1% | - | - |
95 | VITUG Greta | 100% | 95% | 62% | 24% | 5% | - | - |
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.