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 | ||
1 | YOUNG Charlotte G. | 100% | 100% | 100% | 100% | 95% | 65% |
2 | KURAEVA Vasilisa | 100% | 100% | 100% | 96% | 77% | 33% |
3 | MEYERSON Michelle | 100% | 100% | 95% | 77% | 42% | 10% |
3 | DAVIDOVA Kira | 100% | 99% | 91% | 57% | 19% | 3% |
5 | WU Yuwei | 100% | 100% | 98% | 83% | 41% | 8% |
6 | LEE Alyson | 100% | 100% | 99% | 90% | 60% | 18% |
7 | GUGALA Hanna | 100% | 100% | 100% | 98% | 80% | 33% |
8 | TENG EMMA | 100% | 100% | 100% | 97% | 75% | 27% |
9 | HUANG Doris | 100% | 100% | 100% | 98% | 84% | 36% |
10 | WANG JiaQi | 100% | 98% | 86% | 54% | 19% | 3% |
11 | LEOU Korina | 100% | 100% | 100% | 97% | 78% | 32% |
12 | GONZALEZ Veronika | 100% | 100% | 98% | 90% | 62% | 23% |
13 | HU Anna | 100% | 100% | 100% | 96% | 75% | 28% |
14 | DHAR Rana | 100% | 100% | 98% | 82% | 37% | 6% |
15 | FUNG Iris | 100% | 100% | 100% | 98% | 80% | 32% |
16 | MARAGH Farrah E. | 100% | 99% | 92% | 67% | 28% | 5% |
17 | BUSH Bethany | 100% | 100% | 99% | 89% | 60% | 20% |
18 | KWON Ava | 100% | 100% | 97% | 84% | 50% | 13% |
19 | VINOKUR Anita | 100% | 100% | 99% | 93% | 69% | 26% |
20 | DAMBAL Sasha | 100% | 100% | 99% | 90% | 58% | 17% |
21 | PARK Haylie | 100% | 99% | 91% | 61% | 22% | 2% |
22 | BERRIOS Catalina | 100% | 100% | 98% | 86% | 54% | 17% |
23 | BLAKE Anna | 100% | 100% | 99% | 90% | 58% | 17% |
24 | ZHANG Ashley | 100% | 96% | 77% | 42% | 12% | 1% |
25 | MERZLYAKOVA Maria | 100% | 100% | 99% | 90% | 60% | 19% |
26 | MACKAY Katherine | 100% | 90% | 56% | 20% | 3% | - |
27 | DUTA Lyra | 100% | 98% | 86% | 55% | 21% | 3% |
28 | GONG Joy | 100% | 100% | 97% | 80% | 41% | 9% |
29 | BAIK Sarah | 100% | 93% | 67% | 31% | 8% | 1% |
30 | BORGUETA Madison | 100% | 100% | 98% | 86% | 52% | 14% |
31 | LIANG Claire | 100% | 98% | 81% | 44% | 13% | 1% |
32 | FOSS Persephone | 100% | 100% | 94% | 71% | 32% | 6% |
33 | MULLER Inara | 100% | 99% | 93% | 68% | 29% | 5% |
33 | IANNUZZI Lucy | 100% | 100% | 93% | 65% | 20% | 2% |
35 | NIU Jessica | 100% | 98% | 80% | 40% | 9% | 1% |
36 | ALMEDA Galina | 100% | 94% | 67% | 29% | 6% | 1% |
37 | HILD Anya | 100% | 89% | 55% | 20% | 4% | - |
38 | SEVASTOPULO Sahra | 100% | 94% | 65% | 26% | 5% | - |
39 | CHOI Charlotte | 100% | 98% | 83% | 46% | 13% | 1% |
40 | MAK Kaitlin | 100% | 83% | 44% | 13% | 2% | - |
41 | WEI Madison | 100% | 97% | 79% | 40% | 9% | 1% |
42 | XU Elaine | 100% | 88% | 48% | 13% | 2% | - |
43 | LI Tiffany | 100% | 96% | 71% | 31% | 6% | - |
44 | CHANG Norah | 100% | 94% | 68% | 29% | 5% | - |
45 | YERENKOVA Ameliia | 100% | 95% | 72% | 36% | 10% | 1% |
46 | WANG Emily | 100% | 93% | 63% | 21% | 2% | - |
47 | BROWN Aria | 100% | 92% | 58% | 21% | 4% | - |
48 | BLUMBERG Harper | 100% | 61% | 16% | 2% | - | - |
49 | MERZLYAKOVA Alexandra | 100% | 81% | 38% | 8% | 1% | - |
50 | SUN Yi | 100% | 100% | 97% | 83% | 49% | 13% |
51 | REDA Sophie | 100% | 100% | 94% | 70% | 30% | 4% |
52 | SONG Emily | 100% | 78% | 32% | 5% | - | - |
53 | REN Katherine | 100% | 97% | 73% | 32% | 6% | - |
54 | DEMRY Kylee | 100% | 80% | 34% | 5% | - | - |
55 | WANG Chloe | 100% | 58% | 16% | 2% | - | - |
56 | LEE Kaitlin | 100% | 72% | 22% | 3% | - | - |
57 | WONG Charlene | 100% | 71% | 28% | 6% | 1% | - |
58 | CONVERSO-PARSONS Maia | 100% | 59% | 17% | 3% | - | - |
59 | MARGULIS Roxana | 100% | 87% | 53% | 19% | 4% | - |
60 | LEIGH Adalene | 100% | 73% | 31% | 7% | 1% | - |
60 | PRUTSKY Alexandra | 100% | 81% | 40% | 9% | 1% | - |
62 | LOCHRIDGE Leah | 100% | 70% | 24% | 3% | - | - |
63 | STEVENS Ashelin | 100% | 97% | 83% | 50% | 17% | 2% |
64 | STOLCKE Saskia | 100% | 61% | 15% | 2% | - | - |
65 | PIENKOWSKI Olivia | 100% | 56% | 16% | 2% | - | - |
66 | BAK Milena | 100% | 81% | 36% | 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.