New Haven, CT - New Haven, CT, 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 | KIM Juni C. | - | - | 5% | 28% | 54% | 13% | |
2 | INSLER Ethan C. | - | - | 1% | 8% | 27% | 41% | 22% |
3 | WHELAN Thomas (Tony) | - | - | - | 5% | 24% | 45% | 26% |
3 | JIN Alexander | - | 2% | 14% | 34% | 36% | 14% | |
5 | JONES Simon A. | - | - | - | 1% | 10% | 37% | 52% |
6 | RICUTA Laurentiu Florentin | - | - | 1% | 5% | 21% | 42% | 32% |
7 | VERMEULE Spencer | - | - | - | 2% | 14% | 40% | 44% |
8 | LIEF Isaac R. | - | 2% | 14% | 33% | 34% | 15% | 2% |
9 | SILVER Cameron | - | - | 2% | 11% | 31% | 39% | 17% |
9 | LONCAR Luka E. | - | - | 2% | 11% | 31% | 39% | 17% |
11 | KOBI Samuel | 6% | 28% | 38% | 22% | 6% | 1% | |
12 | YUROVCHAK Andrew T. | - | 1% | 9% | 30% | 41% | 19% | |
13 | HRAPSKY Ryan J. | - | - | - | 6% | 34% | 59% | |
14 | BEZRODNOV Alexander | 1% | 9% | 29% | 37% | 20% | 4% | |
15 | HOLTZ Donovan K. | - | - | - | 5% | 24% | 45% | 25% |
16 | RHYU Kozmo | - | - | 2% | 11% | 31% | 39% | 18% |
17 | JIN Owen | - | - | 2% | 9% | 27% | 40% | 22% |
18 | GUI Runlin | 3% | 15% | 32% | 33% | 15% | 3% | |
19 | PARK Frederick | - | 6% | 25% | 38% | 24% | 7% | 1% |
20 | CHONG Christopher | - | 1% | 9% | 27% | 37% | 22% | 4% |
21 | KIM William M. | - | 1% | 6% | 22% | 39% | 28% | 5% |
22 | WU Joseph | - | 1% | 9% | 28% | 41% | 22% | |
23 | KOKENGE Reid | 3% | 18% | 36% | 30% | 11% | 1% | |
24 | SOOMRO Adam A. | - | - | 3% | 15% | 35% | 35% | 12% |
25 | GOHEL Dayus T. | - | - | 4% | 15% | 32% | 35% | 14% |
26 | ALFAIATE Lucas | - | 1% | 6% | 22% | 38% | 27% | 7% |
27 | MELCHER Jack H. | - | 1% | 9% | 28% | 41% | 21% | |
28 | TUMIBAY Noah C. | 3% | 19% | 37% | 30% | 10% | 1% | |
29 | JEYOON Ryan S. | - | 2% | 11% | 30% | 38% | 18% | |
30 | CHEN Eric | - | 2% | 9% | 26% | 35% | 23% | 5% |
31 | PRIHODKO Max | 1% | 12% | 34% | 35% | 15% | 3% | - |
32 | KUMAR Aidan | 4% | 21% | 36% | 27% | 10% | 2% | - |
33 | SIMPSON Patrick | - | 2% | 12% | 29% | 34% | 18% | 4% |
34 | MACARTY Jordan T. | - | 1% | 14% | 37% | 35% | 12% | 1% |
35 | KROPP Jack | - | 4% | 18% | 36% | 32% | 10% | |
36 | COLLYMORE Spencer T. | - | - | 1% | 8% | 28% | 41% | 22% |
37 | KIM Tei D. | 1% | 7% | 23% | 34% | 25% | 9% | 1% |
37 | EKE Frank | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
39 | LEE Noah | - | 4% | 17% | 33% | 31% | 12% | 2% |
40 | PAPAVASSILIOU Christos | - | 4% | 19% | 38% | 29% | 9% | 1% |
41 | LANGTON Sawyer | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
42 | RICHARD Owen | 1% | 7% | 24% | 35% | 25% | 8% | 1% |
43 | FULLER George K. | - | 1% | 4% | 17% | 33% | 33% | 12% |
44 | FELDMAN Jaemin | 1% | 9% | 28% | 37% | 21% | 4% | |
45 | BORATIN Daniel I. | - | 4% | 18% | 35% | 32% | 11% | |
46 | KUDRIAVTCEV Sergei | - | 2% | 13% | 33% | 37% | 15% | |
47 | VAYSBUKH Konstantin | - | 2% | 14% | 35% | 36% | 13% | |
48 | STALL-RYAN Jonathan | 8% | 34% | 38% | 17% | 3% | - | - |
49 | SHEN Max | 1% | 9% | 26% | 34% | 22% | 7% | 1% |
50 | WU Jonathan | 5% | 28% | 38% | 22% | 6% | 1% | - |
51 | BEZRODNOV Michael | - | 1% | 11% | 34% | 37% | 15% | 2% |
52 | MCCOMISKEY Aiden J. | - | 3% | 14% | 31% | 34% | 16% | 3% |
53 | KIM Byung | 1% | 12% | 34% | 34% | 15% | 3% | - |
54 | SPRINGER Michael | 2% | 16% | 35% | 32% | 13% | 2% | - |
55 | LOYOLA TORRIENTE Padick | - | 2% | 12% | 31% | 38% | 17% | |
56 | GAO Daniel | 2% | 13% | 32% | 34% | 16% | 3% | |
57 | BELLIVEAU Raven C. | 2% | 15% | 33% | 33% | 14% | 2% | |
58 | BOYNTON Zachariah (Zach) G. | 2% | 16% | 38% | 34% | 10% | 1% | |
59 | HE Lawrence | 6% | 27% | 42% | 22% | 3% | - | |
60 | GERSEN Jacob | 21% | 45% | 26% | 7% | 1% | - | |
61 | PAN Colin | 32% | 44% | 20% | 4% | - | - | |
62 | RYAN Joshua P. | 1% | 8% | 28% | 36% | 21% | 5% | 1% |
63 | NOVOJILOV Alexei | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
64 | SWANSON Lars M. | - | 1% | 8% | 28% | 40% | 21% | 3% |
65 | DIPAOLA Steven M. | - | 4% | 15% | 31% | 33% | 15% | 2% |
66 | MORSE Tyler | - | 1% | 6% | 23% | 38% | 26% | 6% |
67 | HERMANSON David B. | 1% | 10% | 27% | 35% | 21% | 5% | 1% |
68 | JENNINGS Adin | 17% | 37% | 30% | 12% | 3% | - | - |
69 | SKAALAND Will | 12% | 37% | 36% | 13% | 1% | - | |
70 | PEDERSEN Christopher C. | 34% | 44% | 19% | 3% | - | - | |
71 | SVIBEN Cameron | 13% | 34% | 34% | 16% | 3% | - | |
72 | CHOE Andrew | 26% | 42% | 25% | 7% | 1% | - | |
73 | MISHIMA Torata | 7% | 28% | 37% | 21% | 5% | 1% | |
74 | MATEI Daniel | 12% | 33% | 34% | 17% | 4% | - | |
75 | CHOI Mason | 4% | 20% | 36% | 29% | 10% | 1% | |
76 | PAHLAVI Kamran | 2% | 21% | 39% | 28% | 9% | 1% | - |
77 | LEE Hudson | 8% | 37% | 37% | 15% | 3% | - | - |
78 | STEWART Robert | - | 5% | 20% | 34% | 28% | 10% | 1% |
79 | LI Jalen | 8% | 29% | 36% | 20% | 6% | 1% | - |
80 | MAZZOLI Julio C. | - | 1% | 7% | 25% | 38% | 25% | 5% |
81 | LUO Peter | 62% | 32% | 5% | - | - | - | - |
82 | PHO Eric | - | 4% | 20% | 38% | 29% | 8% | |
83 | PAINTER Patrick I. | 4% | 23% | 38% | 26% | 8% | 1% | |
84 | CHEN Chang-Rung | 2% | 13% | 30% | 32% | 17% | 5% | - |
85 | GONG Haixiang | 42% | 40% | 15% | 3% | - | - | - |
86 | ZENG Zihan | 7% | 29% | 36% | 21% | 6% | 1% | - |
86 | FUSSMAN Yuval | 53% | 37% | 9% | 1% | - | - | - |
86 | PARK Nicholas | 27% | 42% | 24% | 7% | 1% | - | - |
89 | LUO Aaron | 6% | 25% | 38% | 23% | 7% | 1% | - |
90 | ZHANG William | 7% | 37% | 38% | 15% | 3% | - | - |
91 | WANG Yi Nan | 50% | 41% | 8% | 1% | - | - | - |
92 | PARK Brian | 4% | 19% | 35% | 29% | 11% | 2% | |
93 | ROLLO Emmett H. | 41% | 41% | 15% | 3% | - | - | |
94 | NOP Will H. | 36% | 42% | 18% | 4% | - | - | |
95 | QI Terry | 40% | 42% | 15% | 2% | - | - | - |
96 | CHEN Brian | 24% | 41% | 26% | 8% | 1% | - | - |
97 | GRAYSON Joshua | 62% | 32% | 5% | - | - | - | - |
98 | PATEL Pratik | 15% | 45% | 36% | 5% | - | - | - |
99 | CHU Wenxi | 22% | 43% | 27% | 8% | 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.