Georgia Tech Campus Recreation Center: Atlanta, GA - Atlanta, GA, 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 | MO Jason | - | - | - | 2% | 22% | 76% | |
2 | DING Tommy | - | - | - | 6% | 27% | 47% | 20% |
3 | BATRA Dev | - | - | 4% | 18% | 37% | 32% | 10% |
3 | MITCHELL Henry | - | 2% | 11% | 31% | 38% | 17% | 1% |
5 | ELLINGTON Keegan A. | - | - | 1% | 7% | 25% | 42% | 25% |
6 | WEBB Jacob T. | - | - | - | 1% | 20% | 79% | |
7 | MILES Greyson | - | 1% | 11% | 40% | 42% | 6% | |
8 | WATERS Samantha M. | 2% | 13% | 32% | 34% | 17% | 4% | - |
9 | LIU Elinda | - | - | 2% | 11% | 30% | 38% | 19% |
10 | FILLGROVE Benjamin E. | - | 1% | 5% | 18% | 35% | 31% | 11% |
11 | WANG Bryan | - | - | - | 3% | 25% | 71% | |
12 | CAO Kellen | - | 3% | 18% | 41% | 31% | 7% | |
13 | HUTTO Joshua | - | - | - | - | 3% | 26% | 71% |
14 | LIU Hangda | - | 2% | 14% | 40% | 40% | 5% | |
15 | PAVLINEC John (Jack) C. | - | - | 5% | 24% | 43% | 27% | |
16 | MCARTHUR Kemp | 1% | 5% | 19% | 32% | 29% | 13% | 2% |
17 | ERBEN Samuel | - | 3% | 16% | 37% | 34% | 10% | |
18 | WEDDLE Carson | - | - | - | 3% | 19% | 44% | 34% |
19 | NGUYEN Audrey | - | 1% | 5% | 20% | 37% | 30% | 8% |
20 | SU Daniel | 1% | 12% | 37% | 39% | 11% | - | |
21 | LEBEDOVYCH Tristin | - | 1% | 8% | 34% | 49% | 8% | |
22 | ADIBZADEH Mehrdad | - | 2% | 14% | 37% | 36% | 10% | |
23 | LANDMAN Charlotte | - | 2% | 13% | 31% | 34% | 17% | 3% |
24 | IQBAL Mariam | - | 4% | 16% | 33% | 32% | 13% | 2% |
25 | STEFKO Ryan | - | 1% | 9% | 29% | 37% | 20% | 4% |
26 | CAGLE Glenn | - | 3% | 15% | 35% | 34% | 12% | 1% |
27 | EDWARDS Darby | - | 2% | 15% | 34% | 34% | 13% | 2% |
28 | SHAFRITZ Noah | - | - | 2% | 15% | 42% | 40% | |
29 | COUSINS Patrick | - | 5% | 26% | 39% | 23% | 6% | 1% |
30 | XU Maxwell | 1% | 6% | 25% | 37% | 23% | 7% | 1% |
31 | GADIYARAM Madhav | 1% | 14% | 37% | 35% | 12% | 1% | |
32 | HARKINS Asher | 5% | 29% | 43% | 20% | 3% | - | |
33 | EXNICIOS Nancy P. | - | 2% | 20% | 52% | 26% | - | |
34 | EXNICIOS Rex | - | 1% | 10% | 32% | 39% | 17% | 2% |
35 | PARISH Levi | - | 5% | 22% | 41% | 26% | 5% | - |
36 | SARAVANABHAVAN Nila | 1% | 10% | 27% | 35% | 21% | 5% | - |
37 | BLACK Elias | 12% | 47% | 32% | 8% | 1% | - | |
38 | CHOI Jordan | 6% | 28% | 42% | 20% | 3% | - | |
39 | SUN Yuzheng | 9% | 33% | 39% | 17% | 2% | - | |
40 | GILLIAM Elijah | 1% | 7% | 29% | 43% | 19% | 1% | |
41 | CHENG Emma | 53% | 36% | 9% | 1% | - | - | |
42 | MOSS Riley | 1% | 14% | 40% | 36% | 8% | - | |
43 | ANDUJAR Gerardo | 5% | 26% | 40% | 23% | 6% | 1% | |
44 | OLSON Clayton M. | 19% | 40% | 29% | 10% | 1% | - | - |
45 | MACK Jacob | 1% | 9% | 29% | 39% | 19% | 4% | - |
46 | VON KLAR Rhiannon | 7% | 48% | 34% | 9% | 1% | - | |
47 | BURT Stephen | 2% | 18% | 42% | 30% | 8% | 1% | |
48 | TOSCANO Sebastian | 1% | 16% | 51% | 28% | 4% | - | |
49 | MORTON Luke | 3% | 35% | 44% | 16% | 2% | - | |
50 | TSCHOLL Dario | 7% | 27% | 38% | 22% | 5% | - | - |
51 | BRUCE Naomi | 9% | 33% | 37% | 17% | 3% | - | - |
52 | LEE Andrew | 13% | 36% | 34% | 14% | 3% | - | - |
53 | MILLER Jonah | 4% | 21% | 37% | 28% | 9% | 1% | - |
54 | DAVIS Case | 7% | 29% | 40% | 21% | 3% | - | - |
55 | SINGLE Thomas | - | 5% | 19% | 34% | 29% | 11% | 2% |
56 | URIBE LEON Sebastian | 5% | 23% | 36% | 26% | 8% | 1% | - |
57 | SUGHI Sabrina | 47% | 43% | 9% | - | - | - | - |
58 | PUTNAM Nicholas | 19% | 44% | 29% | 8% | 1% | - | - |
59 | CHEN Mikayla | 10% | 37% | 36% | 15% | 3% | - | - |
60 | WANG Kelsey | 51% | 38% | 10% | 1% | - | - | |
60 | LIU Joanna | 57% | 36% | 7% | - | - | - | |
62 | DAILEY John | 16% | 36% | 31% | 13% | 3% | - | - |
63 | MARTIN Stella | 36% | 41% | 18% | 4% | - | - | - |
64 | ZHAO Bryan | 48% | 41% | 10% | 1% | - | - | |
65 | JAVATE Ryan | 57% | 35% | 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.