NYA Sports and Fitness Center - Newtown, CT, 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 | NORMILE Nicholas | 100% | 100% | 96% | 80% | 46% | 14% | 1% |
2 | DJONOUMA Toyohm | 100% | 100% | 99% | 90% | 62% | 25% | 3% |
3 | XIE Brandon | 100% | 100% | 100% | 98% | 86% | 55% | 17% |
3 | BUSH Thomas | 100% | 100% | 100% | 100% | 98% | 87% | 49% |
5 | JOSLIN Tyler | 100% | 100% | 100% | 100% | 98% | 80% | 26% |
6 | SONG Troy | 100% | 100% | 94% | 73% | 38% | 10% | 1% |
7 | SINGH Jaysukh | 100% | 100% | 100% | 96% | 80% | 45% | 12% |
8 | REPIC Oliver | 100% | 100% | 99% | 87% | 51% | 10% | |
9 | UNG Kai | 100% | 98% | 83% | 52% | 20% | 4% | - |
10 | BRINTON III Robert H. | 100% | 100% | 100% | 99% | 88% | 50% | |
11 | WU Colin | 100% | 100% | 96% | 75% | 33% | 4% | |
12 | GARCIA-CABRERA Jeffrey | 100% | 100% | 97% | 85% | 54% | 20% | 3% |
13 | ZOGRAFOS Nicholas | 100% | 96% | 78% | 43% | 14% | 2% | - |
14 | WANG Xiangdong | 100% | 97% | 81% | 49% | 18% | 3% | - |
15 | JENNINGS Adin | 100% | 100% | 100% | 99% | 88% | 48% | |
16 | ZHANG Dinghao | 100% | 99% | 91% | 60% | 18% | ||
17 | KARIMOV Amir | 100% | 99% | 88% | 49% | 13% | 1% | |
18 | DORASZELSKI Mark | 100% | 100% | 100% | 99% | 91% | 66% | 25% |
19 | PAQUET Mathieu | 100% | 100% | 100% | 100% | 98% | 88% | 49% |
20 | LAPP Oliver | 100% | 100% | 98% | 90% | 65% | 29% | 5% |
21 | TOMASZEWSKI Joshua | 100% | 100% | 100% | 98% | 87% | 56% | 18% |
22 | CHEN Jun Ho | 100% | 100% | 100% | 97% | 83% | 51% | 15% |
22 | STEVENSON Ryan | 100% | 99% | 94% | 74% | 40% | 11% | 1% |
24 | STELTENKAMP Neal | 100% | 100% | 99% | 91% | 66% | 29% | 5% |
25 | RUSSELL Edward | 100% | 100% | 100% | 98% | 85% | 36% | |
26 | CHAO Warren | 100% | 98% | 83% | 45% | 10% | ||
27 | HELMY Richard | 100% | 82% | 36% | 8% | 1% | ||
28 | CHOU Benson | 100% | 100% | 95% | 76% | 41% | 12% | 1% |
28 | GAO Victor | 100% | 95% | 72% | 36% | 10% | 1% | - |
30 | PALLADINO Ben T. | 100% | 100% | 98% | 86% | 58% | 23% | 4% |
31 | JIANG Matthew | 100% | 100% | 97% | 84% | 52% | 18% | 2% |
32 | PETERSEN Zachary | 100% | 95% | 73% | 37% | 11% | 1% | - |
33 | NABAVI Matthew R. | 100% | 100% | 100% | 100% | 100% | 93% | 52% |
34 | LONGSTREET Jeffrey | 100% | 100% | 100% | 99% | 95% | 75% | 34% |
35 | ABDELGAWAD Abdelrahman | 100% | 100% | 100% | 100% | 99% | 92% | 59% |
36 | ZELIN Sam J. | 100% | 100% | 99% | 94% | 76% | 42% | 11% |
37 | MEN Junda | 100% | 100% | 100% | 97% | 84% | 50% | 14% |
38 | SETO Jing | 100% | 100% | 99% | 91% | 66% | 30% | 6% |
39 | RIFKIND Neil | 100% | 100% | 95% | 76% | 41% | 12% | 1% |
40 | GREEN Noah J. | 100% | 100% | 96% | 81% | 51% | 18% | 3% |
41 | HIGGINS Jett | 100% | 97% | 79% | 44% | 14% | 2% | - |
42 | PAN Anthony | 100% | 98% | 81% | 44% | 11% | 1% | - |
43 | DOUBOV Andrew | 100% | 99% | 94% | 74% | 40% | 12% | 1% |
44 | DOWD Peter L. | 100% | 96% | 69% | 29% | 6% | - | |
45 | KELLEY Hayden | 100% | 98% | 84% | 52% | 19% | 3% | - |
46 | GABAY Daniel | 100% | 100% | 94% | 72% | 36% | 9% | 1% |
47 | FEINBERG James Y. | 100% | 98% | 87% | 56% | 22% | 4% | - |
48 | AHMED Mohsen | 100% | 92% | 64% | 28% | 7% | 1% | - |
49 | CHU Brandon A. | 100% | 100% | 100% | 97% | 84% | 50% | 14% |
50 | DRYSDALE David | 100% | 100% | 99% | 95% | 78% | 44% | 12% |
51 | WONG King-Yee | 100% | 100% | 98% | 89% | 62% | 24% | 3% |
52 | HEKMAT Sina R. | 100% | 100% | 100% | 98% | 81% | 33% | |
53 | KRALICEK Emmet | 100% | 99% | 89% | 56% | 14% | 1% | |
54 | LENNON Nicholas | 100% | 100% | 94% | 69% | 30% | 4% | |
55 | WHITE Aidan | 100% | 71% | 26% | 4% | - | - | |
56 | YU Samuel | 100% | 98% | 86% | 57% | 25% | 6% | 1% |
57 | NILSEN Mark | 100% | 98% | 86% | 54% | 17% | 2% | - |
58 | LI Jaden | 100% | 47% | 10% | 1% | - | - | - |
59 | MCMILLAN Jackson V. | 100% | 98% | 85% | 56% | 24% | 6% | 1% |
60 | RIM Eugene | 100% | 90% | 59% | 25% | 6% | 1% | - |
61 | KRISHNAN Skanda | 100% | 100% | 95% | 69% | 25% | ||
62 | LENAR David | 100% | 61% | 18% | 2% | - | ||
63 | LIU Kun | 100% | 98% | 86% | 54% | 20% | 4% | - |
64 | YIN Chujun | 100% | 89% | 58% | 25% | 7% | 1% | - |
65 | LI Ray | 100% | 85% | 44% | 11% | 1% | - | |
66 | BUISINE Sebastien | 100% | 96% | 74% | 37% | 9% | 1% | - |
67 | STEIN Philip | 100% | 96% | 70% | 30% | 6% | - | |
68 | SOSNICK Samuel | 100% | 91% | 57% | 18% | 2% | - | |
69 | BEZNEA George | 100% | 98% | 85% | 53% | 20% | 4% | - |
70 | LECUYER-SCHOONMAKER Declan | 100% | 98% | 83% | 50% | 18% | 3% | - |
71 | WHITELOCK James R. | 100% | 95% | 72% | 38% | 11% | 2% | - |
72 | THOMPSON Ian | 100% | 99% | 91% | 67% | 32% | 8% | 1% |
73 | LIU Jeremiah W. | 100% | 100% | 99% | 91% | 66% | 29% | 5% |
74 | ZHANG Roland | 100% | 99% | 90% | 65% | 30% | 7% | - |
75 | LI Jade | 100% | 86% | 52% | 19% | 4% | - | - |
76 | KIM Zac | 100% | 88% | 52% | 18% | 3% | - | - |
77 | WOLFORD Benjamin | 100% | 73% | 32% | 8% | 1% | - | - |
78 | GRAYSON Joshua | 100% | 100% | 97% | 73% | 29% | 4% | |
79 | PEDICONE Joseph | 100% | 67% | 16% | 2% | - | - | |
80 | WANG Zhenhai | 100% | 62% | 16% | 2% | - | - | |
81 | LEVESQUE Gabriel | 100% | 77% | 36% | 9% | 1% | - | - |
81 | ZHOU Anping | 100% | 80% | 40% | 12% | 2% | - | - |
83 | MURRAY John P. | 100% | 98% | 88% | 61% | 28% | 7% | 1% |
84 | STEIN Max | 100% | 90% | 60% | 25% | 6% | 1% | - |
85 | LEE Wyatt | 100% | 72% | 26% | 5% | - | - | - |
86 | BUISINE Aurelien | 100% | 83% | 43% | 12% | 2% | - | - |
86 | LIN Yufei | 100% | 94% | 68% | 31% | 8% | 1% | - |
88 | KIM Nathan | 100% | 81% | 43% | 14% | 2% | - | - |
89 | ALAM Rajan | 100% | 47% | 10% | 1% | - | - | |
90 | HE Yurui | 100% | 96% | 74% | 37% | 10% | 1% | - |
90 | MA Wilson | 100% | 86% | 50% | 16% | 3% | - | - |
92 | TARDIFF Seth | 100% | 71% | 27% | 5% | 1% | - | - |
93 | NABI Mikhail | 100% | 98% | 79% | 35% | 6% | - | - |
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.