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 | - | - | - | - | 4% | 96% | |
2 | LOCKWOOD Jacob | - | - | - | - | 6% | 37% | 57% |
3 | TAN Xinlai | - | - | - | 1% | 15% | 84% | |
4 | RUBY Asher | - | 3% | 15% | 34% | 35% | 13% | |
5 | TOEWS Jackson | - | 1% | 8% | 36% | 56% | ||
6 | HENKELMAN Grayson | - | 3% | 19% | 43% | 34% | ||
7 | NAIDL Josiah | - | - | - | 6% | 38% | 56% | |
8 | DIFRANK Tae | - | 1% | 5% | 24% | 45% | 26% | |
9 | IBARRA Alejandro | - | 7% | 34% | 50% | 8% | ||
10 | GLOVER George | - | - | - | 7% | 40% | 52% | |
11 | LINEBERRY Caden | - | 5% | 25% | 44% | 26% | ||
12 | BERSCHEID Arthur | - | - | 2% | 23% | 75% | ||
13 | DING Zilin | - | - | - | 3% | 20% | 55% | 22% |
14 | WOJTALEWICZ Aiden | 3% | 27% | 42% | 23% | 4% | ||
15 | NEELIMANDHU Sahil | 1% | 9% | 31% | 40% | 19% | 1% | |
16 | ZINSER James | - | 3% | 19% | 44% | 33% | ||
17 | MARTIN Wesley | 2% | 14% | 38% | 37% | 11% | ||
18 | FOSTERVOLD Castiel | 2% | 18% | 44% | 30% | 5% | ||
19 | AHNEMANN Leif | 1% | 9% | 32% | 41% | 17% | ||
20 | HASHMI Mushaf | - | 1% | 7% | 26% | 43% | 23% | |
21 | MENASCO Juliun | - | - | 5% | 25% | 50% | 21% | |
22 | JARCHO Beckett | - | - | 3% | 24% | 52% | 20% | |
23 | HOKANSON Braddock | 4% | 26% | 48% | 20% | 1% | ||
24 | BASTODKAR Ved | 1% | 7% | 23% | 36% | 26% | 7% | |
25 | YANG Haopeng | 2% | 18% | 40% | 32% | 8% | ||
26 | BURCHILL Carter | 1% | 6% | 21% | 36% | 29% | 8% | |
28 | FADLIA Murad | - | 3% | 20% | 52% | 23% | 2% | |
29 | FEEHAN Conor | 1% | 12% | 37% | 38% | 12% | - | |
30 | KRUEGER Benjamin | 3% | 22% | 41% | 28% | 5% | ||
31 | DRAWZ Chase | 1% | 11% | 33% | 38% | 16% | 1% | |
32 | POLYZOIS Alkis | 38% | 46% | 14% | 2% | - | ||
33 | BALDERES Gavin | 6% | 24% | 37% | 25% | 8% | 1% | |
34 | SUNDSBAK Evan | 22% | 45% | 27% | 6% | - | ||
35 | BOMGARDNER Ben | 3% | 18% | 38% | 30% | 10% | 1% | |
36 | HUANG Kai | 2% | 15% | 39% | 35% | 9% | ||
37 | CHRISTENSEN Jack | 2% | 13% | 36% | 37% | 13% | - | |
38 | DAVIS Jace | 4% | 24% | 40% | 26% | 6% | - | |
39 | YATES Graeme | 6% | 29% | 41% | 21% | 3% | - | - |
40 | FERRARA Asher | 2% | 14% | 32% | 34% | 15% | 2% | - |
41 | ROY Griffin | 2% | 19% | 39% | 30% | 8% | - | |
42 | PEICHEL Joshua | 10% | 31% | 36% | 19% | 4% | - | - |
43 | CRUZ Cole | 44% | 43% | 12% | 1% | - | ||
44 | STELLPFLUG Zachary | - | 6% | 25% | 43% | 25% | - | |
45 | KIM Ethen | 14% | 43% | 33% | 9% | 1% | ||
46 | BELL Andrew | 2% | 16% | 36% | 33% | 11% | 1% | |
47 | MOGENSEN Ezra | 1% | 11% | 37% | 40% | 11% | 1% | |
48 | UNGLAUB Maxwell | 13% | 43% | 36% | 7% | - | - | |
49 | CASEY Liam | 5% | 29% | 42% | 21% | 3% | - | |
50 | PETERSON Quinn | 24% | 45% | 25% | 6% | - | ||
51 | ANDERSON Norse | 18% | 43% | 30% | 8% | 1% | - | |
52 | ZERR Daemin | 7% | 33% | 41% | 17% | 2% | - | |
53 | ZHANG Alexander | 1% | 13% | 40% | 38% | 8% | ||
54 | FANG Ethan | 21% | 51% | 25% | 3% | - | ||
56 | WOODS Jarek | 2% | 14% | 39% | 35% | 10% | ||
57 | BERCHENKO Zachary | 10% | 34% | 37% | 16% | 3% | - | |
58 | MOORE Angus | 20% | 45% | 30% | 5% | - | - | |
59 | CHANEY Dhru | - | 1% | 16% | 47% | 32% | 4% | - |
60 | WINTERS Linus | 55% | 36% | 9% | 1% | - | - | |
62 | BEDARD Bennett | 11% | 32% | 35% | 18% | 4% | - | |
63 | SKIBELL Cyrus | 55% | 37% | 8% | 1% | - | - | |
64 | BLUMHARDT Evan | 32% | 46% | 19% | 3% | - | ||
66 | TUEL Jude | 12% | 33% | 34% | 16% | 4% | - | |
73 | AHRENS Declan | 42% | 42% | 14% | 2% | - | ||
74 | WEED Matthew | 34% | 43% | 19% | 4% | - | - | |
74 | CARDIN Harvey | 34% | 44% | 19% | 3% | - | - | |
76 | LIMKE Sean | 51% | 38% | 10% | 1% | - | ||
77 | PERRY Eli | 27% | 48% | 22% | 3% | - | - | |
78 | NARASIMHA Krishna | 22% | 44% | 27% | 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.