Georgia Tech Campus Recreation Center - 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 | KUCEBA Vitalijs | - | - | - | - | 4% | 34% | 62% |
| 2 | LEWIS Paul D. | - | - | 1% | 5% | 22% | 42% | 30% |
| 3 | SONG Leonardo T. | - | - | - | - | 3% | 32% | 65% |
| 3 | SONG Aiden S. | - | - | - | 2% | 17% | 50% | 31% |
| 5 | KORABLIN Anton | - | - | 1% | 10% | 38% | 50% | |
| 6 | OH Sean | - | - | - | 4% | 22% | 45% | 29% |
| 7 | JAUME Andrei | - | - | 3% | 18% | 43% | 31% | 5% |
| 8 | CHAN Tyler | - | 1% | 7% | 31% | 51% | 10% | |
| 9 | PARACKA Eric D. | - | - | - | - | - | 4% | 96% |
| 9 | MITCHELL Philip D. | - | - | - | 4% | 20% | 42% | 33% |
| 11 | TIYA Biaya K. | - | - | 4% | 18% | 35% | 31% | 10% |
| 12 | TANG Owen S. | - | - | 4% | 16% | 35% | 34% | 11% |
| 13 | QUINONES Diego A. | - | 3% | 14% | 30% | 32% | 17% | 3% |
| 13 | EMENHEISER Conrad | - | - | 10% | 32% | 38% | 18% | 2% |
| 15 | KORABLINA Aleksandra | - | - | 1% | 9% | 40% | 41% | 9% |
| 16 | ANDREYENKA Yana | - | - | 1% | 5% | 21% | 42% | 31% |
| 17 | ELWOOD Sebastian F. | - | - | - | 6% | 27% | 44% | 23% |
| 18 | SAGE Michael P. | - | - | 1% | 6% | 31% | 53% | 9% |
| 19 | WECHSLER Jacob | - | - | 5% | 20% | 38% | 29% | 7% |
| 20 | ROSE Ben | - | - | - | 5% | 23% | 46% | 26% |
| 21 | QIAN Jason H. | - | 1% | 7% | 25% | 38% | 24% | 5% |
| 22 | BOUIE Jacob | - | - | 4% | 20% | 38% | 30% | 8% |
| 23 | DE COQUET Maximilian | - | 1% | 11% | 36% | 41% | 9% | - |
| 24 | LOVE Aaron | - | - | - | 2% | 19% | 63% | 16% |
| 25 | WONG Garrick G. | - | - | - | 4% | 25% | 45% | 25% |
| 26 | GARLINGTON David | - | - | - | 2% | 14% | 42% | 42% |
| 27 | WILLIAMS Connor J. | - | 1% | 13% | 39% | 38% | 8% | - |
| 28 | RUDOLPH Max B. | - | - | 1% | 11% | 36% | 38% | 12% |
| 29 | SHAJI Karthik | - | - | - | 6% | 34% | 43% | 16% |
| 29 | JITTAN Daniel | - | - | 1% | 7% | 25% | 42% | 25% |
| 31 | ZOU Yuming | - | 4% | 23% | 42% | 27% | 5% | - |
| 32 | WANG Brayden | - | 4% | 31% | 43% | 19% | 3% | - |
| 33 | WEBB Jacob T. | - | - | 13% | 40% | 36% | 9% | 1% |
| 34 | BERNABE Rafael | 2% | 28% | 46% | 22% | 2% | - | |
| 35 | ELLINGTON Keegan A. | 1% | 9% | 31% | 40% | 17% | 2% | - |
| 36 | VIVEROS Evan | - | - | 3% | 17% | 42% | 38% | 1% |
| 37 | EDWARDS Darby | - | 2% | 12% | 37% | 39% | 10% | - |
| 38 | LI Sophia M. | - | 1% | 6% | 23% | 40% | 26% | 5% |
| 38 | VAUGHAN Norah | - | 2% | 13% | 35% | 36% | 13% | 1% |
| 40 | MILLETTE Brigid A. | - | 3% | 23% | 40% | 26% | 7% | 1% |
| 41 | MAHRAN-GALINDO Alex | 1% | 6% | 19% | 31% | 28% | 13% | 2% |
| 42 | FELIX Ian | - | 4% | 19% | 38% | 31% | 8% | - |
| 43 | HUSSAIN Mustafa | - | - | 1% | 13% | 41% | 36% | 9% |
| 44 | MOE Annan | - | 5% | 27% | 42% | 21% | 4% | - |
| 45 | HERNANDEZ Veronica L. | 3% | 35% | 40% | 18% | 4% | - | - |
| 46 | MAO Rebecca J. | - | 7% | 27% | 38% | 22% | 5% | - |
| 48 | EVELAND Zoe | 2% | 14% | 35% | 33% | 14% | 2% | - |
| 49 | ROSS III Paul D. | - | 4% | 18% | 37% | 32% | 8% | - |
| 50 | KURCHIN Ekaterina Y. | - | 3% | 16% | 35% | 33% | 11% | 1% |
| 50 | RAY William | 3% | 20% | 38% | 29% | 9% | 1% | - |
| 52 | VINEL ALEKSANDR | 3% | 18% | 37% | 30% | 11% | 2% | - |
| 53 | VIVEROS Oscar A. | - | 16% | 40% | 32% | 10% | 1% | - |
| 53 | BATRA Dev | 6% | 25% | 37% | 25% | 7% | - | - |
| 55 | MAXWELL CJ F. | - | - | 2% | 20% | 50% | 25% | 3% |
| 56 | LIN Ju-An Adrianne | 3% | 16% | 32% | 31% | 15% | 3% | - |
| 57 | CAMPBELL Justin | - | 7% | 39% | 46% | 7% | - | |
| 58 | LEWIS Jared | - | - | < 1% | 3% | 21% | 57% | 18% |
| 59 | LEE David | 5% | 28% | 43% | 20% | 3% | - | - |
| 60 | LIU Darren | - | 7% | 38% | 45% | 9% | 1% | - |
| 61 | STORER Alex | - | 3% | 19% | 40% | 30% | 7% | - |
| 62 | YIM Rachael | 1% | 11% | 31% | 35% | 18% | 4% | - |
| 63 | VIVEROS Antonio | 4% | 24% | 44% | 25% | 3% | - | - |
| 64 | GOKCE Ellis | 20% | 52% | 24% | 4% | - | - | - |
| 65 | BUTFILOSKI Cooper B. | 2% | 24% | 41% | 26% | 6% | 1% | - |
| 66 | RODRIGUEZ Beni A. | 3% | 23% | 45% | 24% | 5% | - | - |
| 67 | MADSEN Ansley | 10% | 36% | 36% | 15% | 3% | - | - |
| 68 | ADIBZADEH Mehrdad | 3% | 20% | 41% | 28% | 7% | - | - |
| 69 | KIM Chaevin | 11% | 53% | 32% | 4% | - | - | - |
| 70 | FAN Yuchen | 18% | 42% | 31% | 8% | 1% | - | - |
| 71 | PAVLINEC John (Jack) C. | 24% | 44% | 26% | 6% | - | - | - |
| 72 | GADIYARAM Sushama | 11% | 35% | 36% | 15% | 3% | - | - |
| 73 | MULLER Van | 19% | 40% | 29% | 10% | 2% | - | |
| 74 | MAXWELL Austin | 1% | 11% | 33% | 37% | 16% | 2% | - |
| 75 | MATSUNAGA Alysa | 83% | 17% | 1% | - | - | - | - |
| 76 | HARTMANS Jae | 51% | 39% | 10% | 1% | - | - | - |
| 77 | MATHEW Esther | 2% | 18% | 41% | 31% | 8% | - | - |
| 78 | TAYLOR Wilkins | 2% | 14% | 32% | 33% | 16% | 3% | - |
| 78 | WU Velyn | 4% | 23% | 38% | 26% | 8% | 1% | - |
| 80 | YOO Joseph | 2% | 13% | 33% | 34% | 16% | 3% | - |
| 81 | DAILEY John | 8% | 30% | 38% | 20% | 4% | - | - |
| 82 | BLACK Elias | 22% | 43% | 28% | 7% | 1% | - | - |
| 83 | MCARTHUR Kemp | 57% | 35% | 8% | 1% | - | - | - |
| 84 | JORDAN Christopher | 20% | 43% | 30% | 6% | - | - | - |
| 85 | YERRAMSETTI Hansika | 9% | 33% | 38% | 18% | 3% | - | - |
| 86 | GADIYARAM Madhav | 18% | 42% | 31% | 8% | - | - | - |
| 86 | ERBEN Samuel | 6% | 25% | 36% | 24% | 7% | 1% | - |
| 86 | MARKERT Meghan | 23% | 44% | 26% | 6% | - | - | - |
| 89 | THIYAGARAJAA Ari | 29% | 48% | 20% | 3% | - | - | - |
| 89 | MACK Jacob | 6% | 35% | 43% | 14% | 2% | - | - |
| 91 | YOO Kristie | 16% | 54% | 26% | 4% | - | - | |
| 92 | SARAVANABHAVAN Nila | 8% | 26% | 34% | 23% | 8% | 1% | - |
| 92 | MARSHALL Emily | 2% | 20% | 40% | 29% | 8% | 1% | - |
| 92 | FEIDLER Calvin | 2% | 13% | 32% | 34% | 16% | 2% | - |
| 95 | WOEHRMAN Madeline | 65% | 30% | 4% | - | - | - | - |
| 96 | HUFFMAN Taeli | 33% | 44% | 20% | 3% | - | - | - |
| 96 | BOTKIN Elizabeth | 40% | 41% | 16% | 3% | - | - | - |
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.