Rockland Community College, Eugene Levy Field House - Suffern, 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 | BEZRODNOV Michael | - | - | - | 2% | 17% | 45% | 35% |
2 | WICAS Graham E. | - | - | 1% | 6% | 26% | 43% | 24% |
3 | JONES Simon A. | - | - | - | 1% | 11% | 45% | 43% |
3 | BEZRODNOV Alexander | - | - | - | 2% | 17% | 52% | 30% |
5 | SVERDLOV Seth | - | 4% | 22% | 47% | 27% | ||
6 | WOLFE Alex | - | - | - | 4% | 19% | 43% | 34% |
7 | ROUBAILO Niels | - | - | 1% | 7% | 26% | 45% | 22% |
8 | SU Caleb | - | - | 1% | 6% | 23% | 42% | 29% |
9 | SAVORETTI Francesco | - | 1% | 9% | 27% | 37% | 22% | 4% |
10 | ZUCKER Noah L. | - | - | - | 1% | 11% | 38% | 50% |
11 | WU Jonathan | - | - | 2% | 12% | 35% | 38% | 14% |
12 | KNOX James | - | - | 1% | 6% | 24% | 43% | 27% |
12 | DOYON - VERDON William | - | - | 1% | 8% | 29% | 41% | 20% |
14 | CAUCHY Eliot | 1% | 8% | 26% | 36% | 23% | 6% | 1% |
15 | IVAKIMOV Vasil | - | - | - | 3% | 17% | 45% | 35% |
16 | KYPRAIOS Nicholas | - | 4% | 18% | 35% | 31% | 11% | 1% |
17 | HU Robert J. | - | 4% | 21% | 39% | 29% | 8% | 1% |
18 | PARK Nicholas | - | - | 3% | 15% | 35% | 35% | 11% |
19 | CASERTANO Lorenzo O. | - | 1% | 5% | 20% | 37% | 30% | 8% |
20 | LAI Boden | - | 1% | 6% | 21% | 38% | 29% | 6% |
21 | WONG Maximus | 3% | 17% | 36% | 31% | 11% | 2% | - |
22 | KOEPPEL Levi E. | 2% | 11% | 29% | 34% | 19% | 5% | - |
23 | XIA Dashan | 3% | 17% | 34% | 31% | 13% | 2% | - |
24 | DOYON - VERDON Gabriel | - | 2% | 12% | 35% | 37% | 12% | 1% |
25 | SONG Troy | - | 3% | 18% | 38% | 30% | 9% | 1% |
26 | HONDOR Robert D. | - | - | 2% | 12% | 39% | 47% | |
27 | MEN Junda | 5% | 28% | 41% | 22% | 4% | - | - |
28 | DOUBOV Andrew | 4% | 20% | 36% | 28% | 10% | 2% | - |
29 | CHOI Isaac | - | - | 4% | 21% | 45% | 26% | 5% |
30 | CAI Brian | - | - | 3% | 15% | 37% | 35% | 11% |
31 | LEE Aiden | 10% | 30% | 35% | 20% | 6% | 1% | - |
32 | GOON Sin Tong | 20% | 39% | 29% | 10% | 2% | - | - |
33 | MATTIS George | - | - | - | 4% | 20% | 42% | 33% |
34 | TRAN Spencer | - | 5% | 21% | 36% | 27% | 9% | 1% |
35 | TSE Maxwell | 1% | 9% | 31% | 41% | 16% | 2% | - |
36 | SHA Michael | 2% | 11% | 29% | 34% | 19% | 5% | - |
37 | NORMILE Nicholas | 1% | 10% | 27% | 34% | 21% | 6% | 1% |
38 | BOUDREAUX James | 1% | 7% | 22% | 35% | 27% | 8% | |
39 | ZENG Andrew | 5% | 20% | 34% | 28% | 11% | 2% | |
40 | CHEN YiHeng | 1% | 10% | 26% | 34% | 22% | 6% | 1% |
41 | OH Kevin Y. | - | - | - | 3% | 17% | 41% | 39% |
41 | HEADRICK Jack | 1% | 9% | 28% | 36% | 20% | 5% | - |
43 | PIASIO Jack E. | - | 1% | 9% | 26% | 36% | 23% | 5% |
44 | ZHANG William | - | - | 2% | 10% | 29% | 40% | 19% |
45 | RATUSHNYI Georgii | 16% | 38% | 32% | 12% | 2% | - | |
46 | SAVORETTI Pietro | 8% | 30% | 37% | 19% | 5% | - | - |
47 | SMITH Troy H. | - | 9% | 33% | 38% | 17% | 3% | - |
48 | SONG Changze | 29% | 46% | 22% | 3% | - | ||
49 | GOON Tristan Yang | 1% | 11% | 30% | 35% | 18% | 4% | - |
50 | WATRALL Rick | - | - | - | 4% | 24% | 48% | 24% |
51 | LIU Adam | 1% | 12% | 36% | 38% | 11% | 1% | - |
52 | GUMEDELLI Mohnish | 43% | 41% | 14% | 2% | - | - | - |
53 | REPIC Oliver | - | 2% | 11% | 29% | 36% | 19% | 3% |
54 | MACARTY Jordan T. | - | - | 2% | 11% | 29% | 39% | 19% |
55 | MAO Benjamin | - | 1% | 5% | 19% | 35% | 31% | 9% |
56 | BARREIRO Darren | - | 2% | 16% | 46% | 35% | ||
57 | O'HARROW Tristan C. | 1% | 8% | 23% | 35% | 26% | 8% | |
58 | LEE Aiden | 11% | 33% | 36% | 17% | 3% | - | |
59 | WONG King-Yee | 4% | 19% | 34% | 29% | 12% | 2% | |
60 | BEALS Alden | - | 5% | 20% | 36% | 28% | 9% | 1% |
61 | FIEDERLEIN Andrew M. | - | 3% | 19% | 38% | 30% | 9% | 1% |
62 | KARIMOV Amir | 9% | 35% | 41% | 14% | 2% | ||
63 | DOWD Peter L. | 6% | 27% | 38% | 23% | 6% | 1% | - |
64 | CHU Brandon A. | 2% | 15% | 34% | 32% | 14% | 2% | - |
65 | BORATGIS Christopher J. | - | - | 2% | 11% | 31% | 40% | 16% |
66 | LAI Aedin | - | 5% | 21% | 38% | 30% | 6% | |
67 | JENNINGS Adin | - | 1% | 10% | 28% | 37% | 20% | 4% |
68 | CHEN Jun Ho | - | 1% | 10% | 28% | 36% | 21% | 4% |
69 | HEADRICK Lance | - | - | 4% | 17% | 35% | 34% | 11% |
70 | FAICCO Joseph | 3% | 16% | 32% | 31% | 15% | 3% | - |
71 | KRISHNAN Skanda | 3% | 17% | 34% | 31% | 12% | 2% | - |
72 | WANG Tony | 5% | 33% | 42% | 17% | 2% | - | - |
73 | XIE Andrew J. | 13% | 39% | 35% | 11% | 2% | - | - |
74 | TIKHOMIROV Theodore | 2% | 11% | 31% | 37% | 17% | 2% | |
75 | LIU Jeremiah W. | 6% | 23% | 35% | 26% | 9% | 1% | |
76 | AYALA Jaime | 9% | 30% | 37% | 19% | 4% | - | |
77 | SUN Lucas | 6% | 32% | 38% | 19% | 5% | - | - |
78 | RIM Eugene | 22% | 40% | 27% | 9% | 2% | - | - |
79 | NGO-D'ANDRE Nicolas | 7% | 31% | 37% | 19% | 5% | 1% | - |
80 | RVACHEV Michael | 23% | 48% | 24% | 4% | - | - | - |
81 | ANAFI Ari | 11% | 35% | 36% | 16% | 3% | - | - |
82 | YU Samuel | 11% | 36% | 37% | 13% | 2% | - | - |
83 | TOMASZEWSKI Joshua | 4% | 22% | 37% | 27% | 9% | 1% | - |
84 | COHEN Jared E. | - | 3% | 15% | 34% | 33% | 14% | 2% |
85 | STELTENKAMP Neal | 20% | 44% | 29% | 6% | - | ||
86 | PALLADINO Ben T. | 5% | 20% | 34% | 28% | 12% | 2% | |
87 | CHEN Luowen | 5% | 29% | 42% | 20% | 3% | - | - |
88 | WANG-SONG Evan | 39% | 42% | 16% | 3% | - | - | - |
89 | PAN Anthony | 42% | 40% | 15% | 3% | - | - | - |
89 | DUKO Phillip | 12% | 32% | 34% | 17% | 4% | 1% | - |
91 | GU Eric | 70% | 27% | 3% | - | - | - | - |
92 | FLINT James E. | 8% | 31% | 37% | 19% | 5% | 1% | - |
93 | XIE Brandon | 5% | 23% | 38% | 26% | 7% | 1% | - |
93 | BUSH Thomas | < 1% | 5% | 20% | 35% | 29% | 10% | 1% |
95 | HE Lingyun Matthew | 7% | 42% | 37% | 12% | 2% | - | - |
96 | ROIZ Leif | 13% | 35% | 35% | 15% | 2% | - | - |
96 | DAGLI Sai | 57% | 35% | 7% | 1% | - | - | - |
98 | MCDONNELL Nathaniel | < 1% | 3% | 17% | 35% | 32% | 12% | 1% |
99 | NILSEN Mark | 27% | 44% | 24% | 5% | - | - | - |
100 | LENAR David | 44% | 40% | 14% | 2% | - | - | - |
101 | TINAWI Luay | 57% | 34% | 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.