Suffern, NY - Suffern, NY, 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 | SZAPARY Tristan B. | 100% | 100% | 100% | 100% | 100% | 95% | 65% |
2 | MERCHANT Reza H. | 100% | 100% | 100% | 99% | 93% | 69% | 27% |
3 | BASOK Daniel | 100% | 100% | 98% | 87% | 59% | 24% | 4% |
3 | SHENG Patrick Y. | 100% | 100% | 97% | 84% | 56% | 23% | 4% |
5 | MARAKOV Allen B. | 100% | 100% | 100% | 97% | 84% | 53% | 17% |
6 | POLKOVSKY Dylan S. | 100% | 100% | 96% | 80% | 47% | 16% | 2% |
7 | PAVLENISHVILI David G. | 100% | 100% | 95% | 77% | 41% | 10% | |
8 | ZHANG YuJian | 100% | 99% | 94% | 72% | 36% | 8% | |
9 | DOUGLAS Colin F. | 100% | 99% | 89% | 63% | 30% | 8% | 1% |
10 | WOLF Myles J. | 100% | 100% | 100% | 97% | 84% | 52% | 16% |
11 | KIM Juni C. | 100% | 100% | 100% | 97% | 83% | 51% | 15% |
12 | MUFEL Andrew | 100% | 100% | 90% | 58% | 20% | 3% | - |
13 | ZARETSKY Daniel A. | 100% | 99% | 91% | 68% | 36% | 11% | 1% |
14 | KANG Michael H. | 100% | 100% | 97% | 84% | 52% | 15% | |
15 | RA Jr. Daniel M. | 100% | 100% | 97% | 86% | 60% | 27% | 5% |
16 | MCDERMOTT Brian | 100% | 100% | 98% | 88% | 59% | 22% | 3% |
17 | KOKENGE Clark | 100% | 100% | 100% | 96% | 82% | 51% | 16% |
18 | PAOLINI Nathan R. | 100% | 100% | 98% | 86% | 55% | 17% | |
19 | ZHENG Hagen | 100% | 100% | 99% | 92% | 71% | 37% | 10% |
20 | INSLER Gabriel C. | 100% | 100% | 99% | 93% | 73% | 38% | 9% |
21 | SLAVINSKIY Alan | 100% | 100% | 98% | 88% | 57% | 18% | |
22 | RODE Damian E. | 100% | 100% | 98% | 88% | 60% | 24% | 4% |
23 | KRAVIT Connor B. | 100% | 100% | 99% | 88% | 60% | 24% | 4% |
24 | SPANO Gideon S. | 100% | 100% | 93% | 69% | 31% | 7% | - |
25 | MORSE Tyler | 100% | 99% | 93% | 71% | 38% | 12% | 2% |
26 | MARRAN Erik R. | 100% | 99% | 90% | 65% | 32% | 9% | 1% |
27 | BAKER Kevin G. | 100% | 100% | 98% | 84% | 52% | 18% | 2% |
28 | SHINE Peter C. | 100% | 99% | 90% | 65% | 31% | 8% | 1% |
29 | CHARRON Jack H. | 100% | 100% | 95% | 74% | 39% | 11% | 1% |
30 | GIBSON Nowell L. | 100% | 100% | 97% | 84% | 55% | 22% | 4% |
30 | MOGILEVICH Michael | 100% | 99% | 91% | 67% | 34% | 10% | 1% |
32 | CHILANA Savitoz (Savi) | 100% | 99% | 92% | 69% | 35% | 10% | 1% |
34 | INSLER Ethan C. | 100% | 98% | 84% | 52% | 19% | 3% | |
35 | SMITH Nicholas S. | 100% | 93% | 65% | 28% | 6% | 1% | |
36 | DIAS-LALCACA Kieran P. | 100% | 97% | 81% | 48% | 18% | 3% | - |
37 | LAVENSTEIN Kinley V. | 100% | 99% | 89% | 63% | 30% | 8% | 1% |
38 | RODELL Hunter C. | 100% | 100% | 99% | 91% | 63% | 24% | 2% |
39 | KRENZ Michal A. | 100% | 99% | 93% | 73% | 41% | 14% | 2% |
40 | MAROOTIAN Alex S. | 100% | 97% | 80% | 49% | 19% | 4% | - |
41 | CHOUDHARY Grisham | 100% | 79% | 39% | 11% | 2% | - | |
42 | LUKANYUK Lorence | 100% | 93% | 65% | 28% | 6% | 1% | |
43 | SHAH Maximilian A. | 100% | 91% | 62% | 27% | 7% | 1% | - |
45 | LI Brian | 100% | 90% | 54% | 17% | 3% | - | - |
46 | SIDDIQUI Humza K. | 100% | 77% | 36% | 9% | 1% | - | |
47 | SOOMRO Adam A. | 100% | 94% | 70% | 33% | 8% | 1% | |
48 | FENWICK Luke A. | 100% | 94% | 69% | 32% | 8% | 1% | |
49 | MARCHANT Albert J. | 100% | 98% | 86% | 59% | 27% | 7% | 1% |
50 | SKIFFINGTON Sam | 100% | 74% | 34% | 10% | 2% | - | - |
51 | LAI Coby | 100% | 85% | 39% | 10% | 1% | - | - |
51 | LI Jeffrey | 100% | 90% | 61% | 28% | 8% | 1% | - |
51 | SAMMS-HAY Cameron | 100% | 79% | 40% | 12% | 2% | - | - |
54 | COX Gavin V. | 100% | 95% | 73% | 38% | 12% | 2% | - |
57 | TONG Chihao | 100% | 99% | 92% | 71% | 39% | 13% | 2% |
58 | MISHIMA Torata | 100% | 98% | 80% | 43% | 13% | 2% | - |
59 | WANG Eric S | 100% | 71% | 29% | 7% | 1% | - | - |
60 | JENNINGS Adin | 100% | 72% | 31% | 8% | 1% | - | - |
61 | ZHANG Franklin | 100% | 31% | 4% | - | - | - | - |
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.