Myers Fieldhouse Mankato State - Rochester, MN, 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 | HOWLAND Jonas | - | - | - | - | 5% | 95% | |
2 | LOCKWOOD Jacob | - | - | - | 1% | 8% | 39% | 52% |
3 | TAN Xinlai | - | - | - | 1% | 16% | 83% | |
4 | RUBY Asher | 1% | 6% | 22% | 36% | 27% | 7% | |
5 | TOEWS Jackson | - | 1% | 8% | 37% | 54% | ||
6 | HENKELMAN Grayson | - | 2% | 15% | 43% | 41% | ||
7 | NAIDL Josiah | - | - | - | 5% | 37% | 57% | |
8 | DIFRANK Tae | - | 1% | 5% | 24% | 44% | 26% | |
9 | IBARRA Alejandro | - | 6% | 33% | 52% | 9% | ||
10 | GLOVER George | - | - | 1% | 8% | 40% | 51% | |
11 | LINEBERRY Caden | - | 6% | 26% | 43% | 24% | ||
12 | BERSCHEID Arthur | - | - | 2% | 22% | 76% | ||
13 | DING Zilin | - | - | 1% | 6% | 27% | 49% | 18% |
14 | WOJTALEWICZ Aiden | 2% | 21% | 43% | 29% | 5% | ||
15 | NEELIMANDHU Sahil | 1% | 12% | 34% | 37% | 15% | 1% | |
16 | ZINSER James | - | 4% | 20% | 43% | 32% | ||
17 | MARTIN Wesley | 3% | 17% | 39% | 33% | 9% | ||
18 | FOSTERVOLD Castiel | 2% | 15% | 42% | 34% | 7% | ||
19 | AHNEMANN Leif | 1% | 11% | 34% | 39% | 15% | ||
20 | HASHMI Mushaf | - | 1% | 8% | 27% | 42% | 22% | |
21 | MENASCO Juliun | - | - | 6% | 27% | 48% | 19% | |
22 | JARCHO Beckett | - | - | 3% | 23% | 53% | 20% | |
23 | HOKANSON Braddock | 4% | 25% | 49% | 20% | 1% | ||
24 | BASTODKAR Ved | 4% | 20% | 37% | 29% | 9% | 1% | |
25 | YANG Haopeng | 2% | 14% | 37% | 36% | 10% | ||
26 | BURCHILL Carter | - | 2% | 11% | 31% | 38% | 18% | |
28 | FADLIA Murad | - | 3% | 21% | 53% | 21% | 2% | |
29 | FEEHAN Conor | 2% | 17% | 40% | 33% | 8% | - | |
30 | KRUEGER Benjamin | 14% | 39% | 35% | 11% | 1% | ||
31 | DRAWZ Chase | 2% | 17% | 38% | 32% | 10% | - | |
32 | POLYZOIS Alkis | 38% | 46% | 14% | 2% | - | ||
33 | BALDERES Gavin | 13% | 35% | 34% | 15% | 3% | - | |
34 | SUNDSBAK Evan | 21% | 45% | 27% | 6% | - | ||
35 | BOMGARDNER Ben | 3% | 18% | 37% | 30% | 10% | 1% | |
36 | HUANG Kai | 3% | 18% | 39% | 32% | 8% | ||
37 | CHRISTENSEN Jack | 3% | 17% | 37% | 33% | 10% | - | |
38 | DAVIS Jace | 2% | 17% | 37% | 33% | 11% | - | |
39 | YATES Graeme | 9% | 34% | 38% | 16% | 3% | - | - |
40 | FERRARA Asher | 4% | 20% | 36% | 29% | 10% | 1% | - |
41 | ROY Griffin | 2% | 16% | 37% | 34% | 11% | 1% | |
42 | PEICHEL Joshua | 2% | 12% | 31% | 35% | 17% | 3% | - |
43 | CRUZ Cole | 39% | 46% | 14% | 1% | - | ||
44 | STELLPFLUG Zachary | - | 5% | 22% | 42% | 30% | 1% | |
45 | KIM Ethen | 17% | 43% | 31% | 8% | 1% | ||
46 | BELL Andrew | 3% | 17% | 36% | 32% | 11% | 1% | |
47 | MOGENSEN Ezra | 2% | 19% | 42% | 30% | 6% | - | |
48 | UNGLAUB Maxwell | 17% | 45% | 32% | 6% | - | - | |
49 | CASEY Liam | 2% | 19% | 41% | 31% | 7% | - | |
50 | PETERSON Quinn | 15% | 40% | 33% | 11% | 1% | ||
51 | ANDERSON Norse | 24% | 43% | 26% | 6% | 1% | - | |
52 | ZERR Daemin | 5% | 30% | 41% | 20% | 3% | - | |
53 | ZHANG Alexander | 2% | 16% | 41% | 35% | 6% | ||
54 | FANG Ethan | 28% | 51% | 19% | 2% | - | ||
56 | WOODS Jarek | 2% | 16% | 39% | 33% | 9% | ||
57 | BERCHENKO Zachary | 14% | 38% | 33% | 12% | 2% | - | |
58 | MOORE Angus | 18% | 45% | 32% | 5% | - | - | |
59 | CHANEY Dhru | - | 4% | 21% | 40% | 28% | 5% | - |
60 | WINTERS Linus | 54% | 36% | 9% | 1% | - | - | |
62 | BEDARD Bennett | 7% | 26% | 35% | 23% | 7% | 1% | |
63 | SKIBELL Cyrus | 58% | 34% | 7% | 1% | - | - | |
64 | BLUMHARDT Evan | 37% | 44% | 17% | 3% | - | ||
66 | TUEL Jude | 1% | 12% | 36% | 36% | 14% | 2% | |
73 | AHRENS Declan | 26% | 43% | 25% | 6% | 1% | ||
74 | WEED Matthew | 23% | 42% | 27% | 8% | 1% | - | |
74 | CARDIN Harvey | 20% | 42% | 29% | 8% | 1% | - | |
76 | LIMKE Sean | 40% | 44% | 14% | 2% | - | ||
77 | PERRY Eli | 25% | 47% | 24% | 3% | - | - | |
78 | NARASIMHA Krishna | 26% | 42% | 25% | 7% | 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.