Baltimore, MD - Baltimore, MD, 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 | SHENG Patrick Y. | - | - | 2% | 12% | 32% | 37% | 16% |
2 | LIU John | - | 2% | 13% | 31% | 34% | 16% | 3% |
3 | ZHU Wilson | - | - | - | 4% | 20% | 43% | 34% |
3 | SUICO Zachary Emanuel O. | - | 2% | 10% | 28% | 40% | 21% | |
5 | SHARMA Sanil | - | - | 4% | 16% | 33% | 33% | 13% |
6 | WALKER IV Weymouth D. | - | 3% | 13% | 29% | 33% | 18% | 4% |
7 | XU Zitong (Evan) | - | - | 4% | 16% | 35% | 34% | 12% |
8 | ZAFFT Maximo S. | - | - | 1% | 8% | 25% | 40% | 25% |
9 | LIU Alexander | - | - | 1% | 8% | 26% | 41% | 24% |
10 | PERSAUD Daivik | - | 8% | 29% | 36% | 21% | 5% | 1% |
11 | LEE Daniel Y. | - | 1% | 5% | 18% | 34% | 32% | 12% |
12 | ZHU Max | - | - | 5% | 21% | 37% | 29% | 8% |
13 | RHYU Kozmo | - | 1% | 5% | 17% | 33% | 32% | 12% |
14 | PRASAD Ankith | - | 3% | 14% | 32% | 36% | 15% | |
15 | XIAN Ryan | - | 3% | 15% | 33% | 34% | 14% | |
16 | SMITH Nicholas S. | 1% | 7% | 28% | 39% | 21% | 4% | |
17 | INSLER Ethan C. | - | 2% | 14% | 36% | 37% | 12% | |
18 | PAEK Alex J. | - | - | 4% | 19% | 37% | 31% | 9% |
19 | KRONROD Tal | - | 1% | 6% | 22% | 37% | 27% | 7% |
20 | TRAN Dai Long | - | 2% | 9% | 25% | 34% | 24% | 6% |
20 | SITBON-TAYLOR Noe B. | - | 1% | 7% | 22% | 34% | 27% | 8% |
22 | ADLER Ethan M. | - | 4% | 15% | 30% | 32% | 16% | 3% |
23 | LI Jeffrey | - | 2% | 13% | 30% | 33% | 18% | 4% |
24 | HODGE Jaydon L. | 9% | 28% | 35% | 21% | 6% | 1% | - |
25 | TAE William G. | - | - | 4% | 16% | 33% | 33% | 13% |
26 | KIM Ethan J. | - | - | 4% | 15% | 33% | 34% | 14% |
27 | DOLMETSCH Max | 1% | 6% | 21% | 36% | 28% | 8% | |
28 | XIAO Zherui | - | 3% | 14% | 30% | 33% | 17% | 3% |
29 | NOMANI Shibli D. | - | 4% | 18% | 33% | 30% | 12% | 2% |
30 | LEE Timothy S. | - | 1% | 6% | 21% | 36% | 29% | 8% |
31 | SIVAKUMAR Ajit | 3% | 15% | 31% | 31% | 16% | 4% | - |
32 | CHAWLA Armaan | - | 3% | 19% | 37% | 29% | 10% | 1% |
33 | GLAZ Nicholas S. | - | 1% | 10% | 30% | 37% | 19% | 3% |
34 | LEE Shwan | - | 4% | 17% | 33% | 30% | 13% | 2% |
35 | LONCAR Luka E. | 2% | 15% | 34% | 32% | 14% | 3% | - |
36 | SHAH S Ayush | - | 1% | 6% | 22% | 36% | 28% | 8% |
37 | CRANE Matthew T. | - | 10% | 29% | 35% | 20% | 5% | 1% |
38 | LAVENSTEIN Kinley V. | - | - | 3% | 16% | 34% | 34% | 12% |
39 | ZHENG Hagen | - | - | 1% | 9% | 29% | 40% | 21% |
40 | GATZA Logan | 3% | 17% | 34% | 31% | 13% | 2% | |
41 | WIMMER Chandler M. | - | 1% | 6% | 21% | 35% | 28% | 9% |
42 | JAYENDRA Chandrashekar | - | 1% | 4% | 18% | 34% | 32% | 11% |
43 | MCCOMISKEY Aiden J. | 1% | 7% | 24% | 36% | 24% | 8% | 1% |
44 | DOAN Joseph M. | - | - | 1% | 9% | 28% | 40% | 21% |
44 | BRENNAN Charles F. | - | 6% | 22% | 34% | 26% | 10% | 1% |
46 | KROPP Jack | - | 4% | 15% | 30% | 32% | 16% | 3% |
47 | KOBI Samuel | 3% | 17% | 34% | 30% | 13% | 3% | - |
48 | PAK Charles | - | 4% | 18% | 33% | 30% | 13% | 2% |
49 | YAVOROVSKIY Joshua I. | 10% | 31% | 35% | 19% | 5% | - | |
50 | SOOMRO Adam A. | 1% | 10% | 32% | 37% | 17% | 3% | |
51 | O'HARA Keegan J. | - | 3% | 14% | 32% | 36% | 15% | |
52 | SHAH Maximilian A. | 2% | 13% | 30% | 34% | 18% | 3% | |
53 | GOHEL Dayus T. | - | 1% | 14% | 35% | 34% | 14% | 2% |
54 | MOON Ryan Y. | - | 3% | 15% | 32% | 32% | 15% | 2% |
55 | JOSEPH William | - | 4% | 19% | 34% | 29% | 11% | 2% |
56 | RA Jr. Daniel M. | - | - | 2% | 10% | 29% | 39% | 20% |
57 | VAYSBUKH Konstantin | - | - | 5% | 21% | 38% | 29% | 7% |
58 | HAN Andersen Y. | - | 12% | 32% | 34% | 18% | 4% | - |
59 | KING Cameron | - | 5% | 25% | 39% | 24% | 7% | 1% |
59 | XIAN Riley | - | 2% | 11% | 27% | 35% | 21% | 5% |
61 | PADHYE Siddhant | 3% | 15% | 31% | 31% | 16% | 4% | - |
62 | DIAS-LALCACA Kieran P. | 2% | 16% | 33% | 31% | 15% | 3% | - |
63 | NOH Ray | 7% | 25% | 34% | 24% | 9% | 2% | - |
64 | CHU Allan | 10% | 30% | 35% | 19% | 5% | 1% | - |
65 | INSLER Gabriel C. | - | 1% | 4% | 17% | 34% | 33% | 12% |
66 | BAGHA Armin | 7% | 26% | 35% | 23% | 8% | 1% | - |
67 | HERMANSON David B. | - | 4% | 19% | 34% | 29% | 12% | 2% |
68 | ZHAO Luhan | 15% | 35% | 32% | 14% | 3% | - | |
69 | GLECKNER Aidan | 4% | 18% | 33% | 29% | 13% | 3% | - |
70 | MORSE Tyler | - | 2% | 12% | 28% | 34% | 20% | 4% |
70 | CHONG christopher | 2% | 13% | 30% | 32% | 18% | 5% | - |
72 | WU Byron | - | 3% | 23% | 39% | 27% | 8% | 1% |
73 | BEKKER Mitchel | - | 1% | 5% | 18% | 34% | 32% | 12% |
74 | SHIV Rishi | 1% | 8% | 27% | 36% | 22% | 6% | 1% |
75 | LEE Seungwon | 2% | 12% | 28% | 33% | 19% | 5% | 1% |
76 | DISIMONE David Z. | - | 8% | 28% | 36% | 21% | 6% | 1% |
77 | GALBIATI Leonardo | 6% | 24% | 35% | 24% | 9% | 1% | - |
78 | SALISBURY Cary | 9% | 30% | 35% | 20% | 5% | 1% | |
79 | JEYOON Ryan S. | 1% | 9% | 26% | 36% | 22% | 5% | |
80 | TRIMMER Colin | 3% | 17% | 33% | 31% | 14% | 2% | |
81 | LI Jeffrey | 16% | 37% | 32% | 13% | 2% | - | |
82 | KIM William M. | 1% | 5% | 20% | 35% | 30% | 9% | |
83 | SJOSTEDT Jacob H. | - | - | 5% | 23% | 43% | 29% | |
84 | STUBBLEFIELD Alexander | 8% | 28% | 36% | 21% | 6% | 1% | |
85 | PICCUS Isaac S. | 10% | 30% | 35% | 19% | 5% | - | |
86 | PARK Ian C. | - | 3% | 15% | 33% | 32% | 14% | 2% |
87 | FELDMAN Jaemin | - | 1% | 7% | 22% | 35% | 27% | 8% |
88 | WISNIEWSKI Bart | 2% | 12% | 28% | 33% | 19% | 5% | 1% |
89 | LU Sebastian X. | 4% | 27% | 39% | 23% | 6% | 1% | - |
90 | MAENG Jake W. | - | 3% | 15% | 31% | 32% | 16% | 3% |
91 | KIM Dylan J. | 13% | 33% | 33% | 16% | 4% | 1% | - |
92 | PARK Frederick | 20% | 38% | 28% | 11% | 2% | - | - |
93 | HU Matthew | 3% | 21% | 36% | 28% | 11% | 2% | - |
94 | MURPHY Thomas P. | 15% | 43% | 32% | 9% | 1% | - | |
95 | STUBBLEFIELD Evan | 45% | 41% | 12% | 2% | - | - | |
96 | HE Lawrence | 2% | 11% | 28% | 33% | 20% | 6% | 1% |
97 | KIM Ryan | 48% | 39% | 11% | 2% | - | - | - |
98 | LING Jaden | 34% | 41% | 19% | 5% | 1% | - | - |
99 | FURST Matthew C. | 3% | 22% | 37% | 26% | 9% | 1% | - |
99 | SUMMER Zachary | 35% | 52% | 12% | 1% | - | - | - |
101 | WANG Tristan | 13% | 32% | 33% | 17% | 5% | 1% | - |
102 | LEONE III Charles D. | 1% | 5% | 19% | 32% | 28% | 12% | 2% |
102 | SAMMS-HAY Cameron | 29% | 50% | 18% | 3% | - | - | - |
104 | GAO Daniel | 58% | 34% | 8% | 1% | - | - | - |
105 | CORDDRY Matthew | 45% | 46% | 8% | 1% | - | - | - |
106 | SALERNO Gaetano | 1% | 11% | 29% | 34% | 19% | 5% | 1% |
107 | MACARTY Jordan T. | 6% | 24% | 36% | 25% | 8% | 1% | |
108 | REITINGER Luke M. | 67% | 28% | 4% | - | - | - | - |
109 | THOMPSON Benjamin | 8% | 34% | 37% | 17% | 4% | - | - |
110 | POZOVSKIY Mitchell R. | 7% | 26% | 37% | 23% | 7% | 1% | |
111 | GOLDMAN Isaac | 89% | 10% | - | - | - | - | - |
112 | COUGHLIN Nolan E. | 44% | 45% | 10% | 1% | - | - | - |
113 | CIGLIANO Benjamin I. | 12% | 34% | 34% | 16% | 4% | - | - |
114 | GARLAND Nathaniel | 59% | 33% | 7% | 1% | - | - | - |
115 | MILLER Kurt | 71% | 25% | 3% | - | - | - | - |
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.