Hoosick, NY, 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 | BABAYEV Gabriel A. | - | 1% | 11% | 32% | 39% | 17% | |
2 | GONZALEZ Emilio | - | - | 3% | 15% | 33% | 34% | 14% |
3 | KOGAN Benjamin | - | 1% | 8% | 26% | 37% | 22% | 5% |
3 | NOBLE Colin | - | 2% | 16% | 37% | 34% | 11% | |
5 | SHIRPAL Oleksandr | - | - | 3% | 17% | 43% | 37% | |
6 | MAKLIN Edward | - | - | 1% | 8% | 26% | 40% | 24% |
7 | HUANG Connor | - | 2% | 10% | 25% | 34% | 24% | 6% |
8 | BULBA Daria | - | 1% | 9% | 25% | 35% | 24% | 6% |
9 | ZENG Noah | - | 5% | 28% | 41% | 22% | 4% | |
10 | SLASTIN Andrii | - | 1% | 9% | 25% | 35% | 24% | 6% |
11 | MARYASH Samantha | - | 3% | 13% | 29% | 33% | 18% | 4% |
12 | KANG Evan | - | 1% | 10% | 34% | 42% | 13% | |
13 | KIM-COGAN Ryan | - | - | 1% | 10% | 32% | 41% | 16% |
14 | RASTEGAEV Andrei | 1% | 13% | 34% | 35% | 15% | 2% | |
15 | KWALWASSER Eric | 1% | 12% | 31% | 35% | 18% | 3% | |
16 | RASTEGAEV Evghenii | - | 2% | 10% | 26% | 35% | 23% | 6% |
17 | KUSHKOV Veniamin | - | - | 3% | 18% | 39% | 32% | 9% |
18 | SMIRNOV Nicholas | - | - | 4% | 20% | 40% | 30% | 7% |
19 | KOUROUSI Anna Kalliopi | - | 4% | 16% | 30% | 30% | 15% | 3% |
20 | EYBELMAN Ariel | - | 1% | 9% | 29% | 38% | 20% | 3% |
21 | MAKLIN Sofia | - | 2% | 13% | 30% | 34% | 18% | 3% |
22 | NATHANSON Sammy | - | 4% | 29% | 43% | 21% | 3% | |
23 | SHTREVENSKY Maria | - | 3% | 19% | 39% | 31% | 8% | |
24 | CHAN Aidan | - | 4% | 18% | 34% | 31% | 12% | 1% |
25 | DONG Angel | 1% | 8% | 23% | 33% | 25% | 10% | 1% |
26 | PERRON Robert | - | 3% | 17% | 34% | 31% | 12% | 2% |
27 | KESSLER Nathan | 1% | 9% | 29% | 38% | 20% | 3% | |
28 | GOMERMAN Sophia | 1% | 9% | 28% | 36% | 21% | 4% | |
29 | XIKES Katherine | 2% | 10% | 26% | 33% | 22% | 7% | 1% |
30 | SHIPITSIN Alexander | - | 1% | 10% | 32% | 38% | 17% | 2% |
31 | MEHAN Nicholas | - | 2% | 13% | 30% | 33% | 18% | 3% |
32 | ZHU Weiqi | 8% | 42% | 42% | 8% | - | - | |
33 | KHAN Alissa | 1% | 7% | 24% | 36% | 25% | 7% | |
34 | KATZ Ryan | - | 4% | 24% | 49% | 20% | 2% | |
35 | MUND Ruth | 3% | 14% | 31% | 32% | 17% | 4% | - |
36 | ORLOV Kyrylo | - | 5% | 19% | 33% | 28% | 12% | 2% |
37 | SADOVA Olga | 1% | 9% | 28% | 36% | 20% | 5% | - |
38 | LIM Brandon | 5% | 27% | 42% | 22% | 4% | - | - |
39 | HALL Noah | 9% | 30% | 36% | 20% | 5% | - | |
40 | MEDVINSKY Alexandra | 1% | 8% | 29% | 39% | 20% | 2% | |
41 | YOSHEA Henry | 1% | 5% | 20% | 35% | 30% | 10% | |
42 | LEUNG Ian | - | 2% | 11% | 29% | 35% | 19% | 4% |
43 | THORNHILL Kwasi | - | 5% | 26% | 38% | 24% | 6% | 1% |
44 | LEI Antoine | - | 4% | 17% | 31% | 30% | 14% | 3% |
45 | NAYAK Esha | 13% | 34% | 33% | 15% | 4% | - | - |
46 | KNOBEL Sophia | 2% | 13% | 32% | 33% | 16% | 3% | - |
47 | LIN Phillip | 6% | 22% | 33% | 25% | 11% | 2% | - |
48 | MARGULIAN Maria | 13% | 32% | 32% | 17% | 5% | 1% | - |
49 | BERNARD Kathryn | 20% | 38% | 28% | 11% | 2% | - | - |
50 | LAGOON Miriam | 4% | 21% | 40% | 29% | 7% | - | |
51 | PROZUMENT Elizabeth | 23% | 40% | 27% | 8% | 1% | - | |
52 | HORVITZ Jacqueline | 11% | 33% | 36% | 17% | 3% | - | |
53 | MARGULIAN Grant | 3% | 20% | 38% | 29% | 9% | 1% | - |
54 | RARU Bogdan | 2% | 13% | 29% | 32% | 18% | 5% | 1% |
55 | PENNER Tabitha | 8% | 29% | 36% | 20% | 6% | 1% | - |
56 | LIU Andrew | 1% | 6% | 20% | 34% | 28% | 10% | 1% |
57 | LEVI D'ANCONA Leone | 18% | 41% | 30% | 9% | 1% | - | - |
58 | FREEMAN Armine | 19% | 42% | 29% | 9% | 1% | - | |
59 | LIM Alexa | 18% | 42% | 31% | 8% | 1% | - | |
60 | BODEAN Igor | 6% | 23% | 35% | 25% | 9% | 2% | - |
61 | GIBEK Victoria | 9% | 35% | 39% | 15% | 2% | - | |
62 | CHO Ryan | 3% | 22% | 46% | 25% | 4% | - | - |
63 | AUDOLY Max | 17% | 59% | 21% | 3% | - | - | - |
63 | JIN David | 18% | 39% | 31% | 11% | 2% | - | - |
65 | KLAUBER Raphael | 27% | 47% | 23% | 3% | - | - | |
66 | ZHENG Ruijia | 7% | 26% | 37% | 23% | 7% | 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.