Liontree Arena (RIMAC) @ UC San Diego - La Jolla, CA, 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 | HOLZ Daniel | - | - | - | 2% | 12% | 40% | 46% |
2 | LE Hayden | - | 2% | 15% | 37% | 35% | 10% | |
3 | LIM William J. | - | - | 3% | 22% | 49% | 26% | |
3 | CASTRO-SOLIS Hugo Abel | - | - | - | 4% | 42% | 54% | |
5 | WANG Eric Y. | - | - | 4% | 22% | 44% | 29% | |
6 | GAO Albert | - | - | 5% | 20% | 37% | 29% | 8% |
7 | HJERPE Wade H. | - | - | 2% | 10% | 29% | 39% | 20% |
8 | RADY-PENTEK Charles A. | 1% | 9% | 28% | 36% | 21% | 5% | - |
9 | PAN Alex | - | 1% | 8% | 26% | 37% | 23% | 5% |
10 | BONIFIELD Arthur G. | - | - | 2% | 13% | 33% | 37% | 15% |
11 | QIU Nathan | - | 1% | 6% | 22% | 36% | 28% | 8% |
12 | HOLZ William A. | - | - | 1% | 7% | 26% | 41% | 24% |
13 | LI Yiwei | 1% | 8% | 30% | 37% | 20% | 5% | - |
14 | MIYASAKI-CASTRO Masanobu | - | 1% | 9% | 28% | 38% | 22% | 4% |
15 | WANG Nicolas | - | 2% | 11% | 31% | 36% | 17% | 3% |
16 | KOTOV Leonid | - | - | 3% | 16% | 35% | 34% | 12% |
17 | SWORDS Evan F. | - | - | 2% | 14% | 37% | 37% | 10% |
18 | LIN Daniel | - | 1% | 8% | 24% | 36% | 25% | 6% |
19 | HOUTZ Jackson | - | - | 1% | 14% | 45% | 39% | |
20 | CAISSE Simon B. | - | 5% | 22% | 39% | 28% | 6% | |
21 | ROSBERG Dashiell W. | - | - | 5% | 22% | 41% | 27% | 5% |
22 | COOK Cole | - | 2% | 12% | 31% | 36% | 17% | 2% |
23 | BEITEL Noah | - | - | 5% | 21% | 37% | 29% | 8% |
24 | REYES Xavier M. | - | 2% | 16% | 38% | 34% | 9% | |
25 | BARRETO Elliott | - | - | - | 8% | 56% | 35% | |
26 | GIANETTO Ethan K. | 1% | 12% | 42% | 40% | 5% | - | |
27 | LO Konnor | - | 2% | 13% | 33% | 34% | 15% | 3% |
28 | WONG James T. | 1% | 9% | 31% | 37% | 19% | 3% | |
29 | GILSHTEYN Jacob | 11% | 40% | 35% | 13% | 2% | - | |
30 | PATIL Aaryan A. | - | - | 4% | 18% | 37% | 33% | 8% |
31 | LO Andrew T. | - | 4% | 21% | 37% | 28% | 9% | 1% |
32 | KROON Lucas | 1% | 13% | 39% | 34% | 11% | 1% | |
33 | RAMANAN Jaisimh | - | 5% | 24% | 41% | 25% | 6% | - |
34 | TAO Jeffrey | - | - | 5% | 22% | 43% | 30% | |
35 | ZUBATIY Samuel | - | - | - | 2% | 15% | 40% | 42% |
36 | JIANG Anthony | - | - | - | 2% | 13% | 42% | 43% |
37 | KUMAR Sachit | - | 2% | 12% | 32% | 35% | 16% | 2% |
38 | MUNGUIA Nathan | 2% | 19% | 48% | 29% | 2% | - | |
39 | VO Minh Q. | - | 5% | 23% | 39% | 27% | 6% | |
40 | RAMANAN Govind | 2% | 16% | 35% | 32% | 13% | 2% | - |
41 | LESUEUR Luke J. | 2% | 12% | 30% | 33% | 18% | 4% | - |
42 | BYON Julian | 5% | 41% | 39% | 13% | 2% | - | |
43 | LEE Noah | 2% | 19% | 44% | 29% | 6% | - | |
44 | HAO Anwen | - | 6% | 29% | 44% | 19% | 2% | |
45 | VELTZ Tyler J. | 18% | 48% | 28% | 5% | - | - | |
46 | CHAN Aidan | 2% | 16% | 38% | 31% | 11% | 2% | - |
47 | CENTENO Zachary | 38% | 44% | 15% | 2% | - | - | - |
48 | NIETO Titus P. | 5% | 28% | 38% | 22% | 6% | 1% | - |
49 | TOLEDO Carlos | 12% | 42% | 34% | 10% | 1% | - | - |
50 | ZHANG Yankun | 29% | 42% | 22% | 5% | 1% | - | - |
51 | ZHAO Zhiyu | 32% | 45% | 19% | 3% | - | - | - |
52 | KWON Junwoo | 8% | 43% | 35% | 12% | 2% | - | - |
53 | CONTRACTOR Cyrus | 62% | 33% | 5% | - | - | - | |
54 | TUNG Ryan | 25% | 46% | 24% | 5% | 1% | - | - |
54 | PASTORE LIU Vince | - | 5% | 24% | 37% | 25% | 8% | 1% |
56 | JOHNSON Kai | 72% | 25% | 2% | - | - | - | - |
57 | BYON Adrian | 1% | 8% | 25% | 35% | 23% | 7% | 1% |
58 | WANG HongXi | 52% | 39% | 9% | 1% | - | - | - |
59 | POFF Kainoa | 2% | 20% | 41% | 28% | 7% | 1% | - |
60 | OLARIO Raphael | 50% | 41% | 9% | 1% | - | - | |
61 | LEIGH Edward | 50% | 39% | 10% | 1% | - | - | |
62 | YAN Kevin | 12% | 35% | 34% | 16% | 4% | - | - |
63 | ZENG Vito | 12% | 49% | 32% | 6% | - | - | |
64 | KIM Evan | 50% | 38% | 11% | 1% | - | - | - |
65 | YU Kevin | 25% | 48% | 22% | 4% | - | - | - |
66 | YU Casey | 79% | 19% | 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.