Kansas City Convention Center - Kansas City, MO, 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 | O'LOUGHLIN Chris S. | - | - | - | - | - | 11% | 89% |
2 | CRANOR Erich L. | - | - | 1% | 8% | 31% | 46% | 14% |
3 | SNIDER Jeffrey H. | 1% | 9% | 27% | 36% | 22% | 5% | |
3 | YAKIMENKO Andrei | 1% | 7% | 26% | 39% | 23% | 5% | |
5 | HEDGES Philip S. | - | - | - | 1% | 9% | 40% | 50% |
6 | LICHTEN Keith H. | - | - | 2% | 14% | 43% | 41% | |
7 | GAINES Aaron | - | - | - | 6% | 29% | 48% | 17% |
8 | BARTLETT Jonathan R. | - | 2% | 16% | 37% | 34% | 11% | |
9 | CHENG Thomas | - | 5% | 24% | 42% | 27% | 3% | |
10 | GATES Darcy C. | - | 2% | 11% | 32% | 39% | 16% | |
11 | MCNAMARA Scott | 1% | 13% | 36% | 35% | 12% | 1% | - |
12 | HABIB Farooq | - | 2% | 14% | 41% | 34% | 8% | |
13 | MARSH Timothy G. | 1% | 11% | 33% | 38% | 16% | 1% | |
14 | BARREIRO Darren | - | 3% | 17% | 35% | 33% | 11% | |
15 | HELGE James R. | 1% | 13% | 34% | 35% | 15% | 2% | |
16 | COETZEE Frans M. | 3% | 16% | 34% | 32% | 13% | 2% | - |
17 | CLAWSON Brian C. | 1% | 8% | 25% | 36% | 24% | 6% | |
18 | GRAVES SMITH Geoffrey | - | - | - | 5% | 23% | 47% | 25% |
19 | BUCKLEY Michael | - | - | - | 1% | 9% | 38% | 52% |
20 | MEEHAN Justin X. | - | 1% | 12% | 34% | 38% | 15% | |
21 | HANSEN Eric J. | - | - | - | 4% | 27% | 69% | |
21 | SUPONYA Sergey | - | 1% | 9% | 32% | 41% | 18% | |
23 | HUNTER Justin | - | 1% | 9% | 30% | 40% | 17% | 2% |
24 | GERACI Paul A. | 1% | 10% | 34% | 38% | 16% | 1% | |
25 | PIENTA Chris J. | 1% | 10% | 30% | 36% | 20% | 4% | |
26 | PRIHODKO Andrew | - | 9% | 35% | 38% | 16% | 2% | |
27 | SPRINGER Michael | 2% | 13% | 31% | 34% | 17% | 3% | |
28 | HITCHCOCK David | - | 1% | 5% | 17% | 33% | 32% | 12% |
29 | MAYCHROWITZ Matt | - | 1% | 11% | 40% | 37% | 10% | 1% |
30 | NUDELMAN Aleksandr | 2% | 13% | 32% | 34% | 16% | 3% | - |
31 | FREY Wayne N. | 1% | 12% | 35% | 36% | 14% | 2% | - |
32 | BAILEY Creston P. | 15% | 43% | 33% | 8% | 1% | - | |
33 | HARRIS Robert S. | - | 2% | 11% | 31% | 38% | 17% | |
34 | STEWART Robert | 1% | 7% | 23% | 35% | 26% | 8% | 1% |
35 | CHEN Steve | 3% | 17% | 34% | 30% | 13% | 2% | - |
36 | DEUCHER Joseph H. | - | 1% | 8% | 27% | 42% | 23% | |
37 | KURITZ Marc M. | 2% | 17% | 36% | 31% | 12% | 2% | |
38 | EXUM Travis H. | - | 1% | 9% | 34% | 42% | 13% | |
39 | ROBERTS Peter | 4% | 21% | 38% | 27% | 8% | 1% | |
40 | KISSINGFORD John F. | - | - | 7% | 32% | 42% | 16% | 2% |
41 | TEITENBERG John F. | - | 1% | 7% | 25% | 40% | 25% | 1% |
42 | WILLIAMS Brett | 4% | 22% | 37% | 27% | 9% | 1% | - |
43 | ANDERSON Nathan T. | - | 5% | 21% | 36% | 29% | 9% | - |
44 | KROGH Dan Krogh (Dan) M. | 1% | 8% | 26% | 36% | 23% | 6% | |
45 | PARTE Aidan | 11% | 40% | 35% | 12% | 2% | - | |
46 | KAUFMAN Joel H. | 1% | 9% | 27% | 36% | 22% | 5% | |
47 | SANCHEZ Leon D. | 9% | 35% | 41% | 14% | 2% | - | |
48 | ARROWSMITH II Alan M. | 1% | 6% | 22% | 36% | 27% | 8% | 1% |
49 | ELTERMAN Lev | 1% | 15% | 51% | 28% | 5% | - | - |
50 | DJURISIC Zoran M. | 34% | 42% | 19% | 4% | - | - | - |
51 | RIFKIND Neil | 14% | 60% | 23% | 2% | - | - | - |
52 | JEFFCOAT Timothy | 70% | 26% | 4% | - | - | - | |
53 | KERTESZ Stefan G. | 13% | 37% | 35% | 14% | 2% | - | |
54 | KLINE R. Jay | 1% | 42% | 40% | 14% | 2% | - | |
55 | GREGORY Dean | 37% | 44% | 17% | 2% | - | - | |
56 | BRUS Brian V. | 3% | 17% | 34% | 30% | 13% | 3% | - |
57 | MINOTT Nicolas D. | 19% | 42% | 29% | 8% | 1% | - | - |
58 | STERR Eric | 40% | 40% | 16% | 3% | - | - | - |
59 | WU Robert | 33% | 45% | 18% | 3% | - | - | - |
60 | CAMPBELL Paul | 31% | 43% | 21% | 4% | - | - | |
61 | FRANGER Jeff | 40% | 40% | 16% | 3% | - | - | |
62 | ROGERS John D. | 96% | 4% | - | - | - | - | |
63 | GAO "George" Xiaojiang | 50% | 39% | 10% | 1% | - | - | |
64 | FELDMAN Louis | 73% | 25% | 2% | - | - | - | - |
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.