Date | Name | Result | DN * | Pos/Neg ** | Prediction | Proba | Name | Result | DN | Pos/Neg | |
---|---|---|---|---|---|---|---|---|---|---|---|
2025-Feb-02 | Mikhail Dubrouski | win | 2 | 99.79% | Arkhip Kozlov | loss | 9 | ||||
2025-Feb-02 | Lars Aregger | win | 2 | 99.79% | Karim El Feky | loss | 1 | ||||
2025-Feb-02 | Gleb Kuharev | win | 6 | 99.79% | Abdalla Genidy | loss | 7 | ||||
2025-Feb-02 | Pengyu Lu | win | 9 | 50.08% | Filiberto Fumagalli | loss | 3 | ||||
2025-Feb-02 | Niklas Waldner | win | 7 | 99.79% | Medhir Goyal | loss | 2 | ||||
2025-Feb-02 | Bogdan Seleznev | win | 1 | 99.79% | Yoan Naydenov | loss | 1 | ||||
2025-Feb-02 | Pierre Delage | win | 5 | 50.08% | Ryoto Tachi | loss | 7 | ||||
2025-Feb-02 | Biagio Gramaticopolo | win | 6 | 50.08% | Thomas Gerbaud | loss | 2 | ||||
2025-Feb-02 | Michal Krajci | win | 5 | 99.79% | Martijn Molenkamp | loss | 3 | ||||
2025-Feb-02 | Alexander Zgirovsky | win | 2 | 99.79% | Jasin Jakupi | loss | 8 | ||||
2025-Feb-02 | Gian Gruenig | win | 3 | 50.08% | Carlo Alberto Fossati | loss | 1 | ||||
2025-Feb-02 | Alberto Morolli | win | 3 | 50.08% | Kristian Tumbas Kajgo | loss | 3 | ||||
2025-Feb-02 | Magd Eldin | win | 3 | 50.08% | Aleksander Chayka | loss | 2 | ||||
2025-Feb-02 | Felix Balshaw | win | 9 | 50.08% | Adam Bajurko | loss | 3 | ||||
2025-Feb-02 | Taiyo Yamanaka | win | 5 | 50.08% | Gregorio Biondolillo | loss | 5 | ||||
2025-Feb-02 | Stevan Popovic | win | 5 | 99.79% | Jacopo Antonelli | loss | 9 | ||||
2025-Feb-02 | Vadym Konovchuk | win | 6 | 99.79% | Cahir Warik | loss | 6 | ||||
2025-Feb-02 | Karim Ibrahim | win | 5 | 99.79% | Chinmaya Dev Chauhan | loss | 9 | ||||
2025-Feb-02 | Guelfo Baldovinetti | win | 1 | 99.79% | Daniel Blazka | loss | 7 | ||||
2025-Feb-02 | Leonardo Malgaroli | win | 2 | 50.08% | Nicola Ion | loss | 2 | ||||
2025-Feb-02 | Fredrik Krogh Solheim | win | 9 | 50.08% | Ye Hongyu | loss | 3 | ||||
2025-Feb-02 | Gabriele Bosio | win | 3 | 99.79% | Edoardo Lodovico Cattaneo | loss | 4 | ||||
2025-Feb-02 | Matteo Meneghetti | win | 2 | 99.79% | Darrshan Suresh | loss | 3 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.
Comments: