Date | Name | Result | DN * | Pos/Neg ** | Prediction | Proba | Name | Result | DN | Pos/Neg | |
---|---|---|---|---|---|---|---|---|---|---|---|
2025-Jan-26 | Christos Glavas | win | 5 | 99.77% | Pavel Gula | loss | 9 | ||||
2025-Jan-26 | Aljaz Jeran | win | 9 | 99.77% | Oleg Tyagunov | loss | 4 | ||||
2025-Jan-26 | Yerassyl Yerdilda | win | 2 | 99.77% | Matthieu Wehner | loss | 2 | ||||
2025-Jan-26 | Vlado Jankanj | win | 3 | 99.77% | Leo Gutjahr | loss | 5 | ||||
2025-Jan-26 | Christoph Gayk | win | 1 | 50.02% | Mattia Nannelli | loss | 3 | ||||
2025-Jan-26 | Stefan Adrian Andreescu | win | 3 | 50.02% | Ivan La Cava | loss | 4 | ||||
2025-Jan-26 | Edward Etty | win | 1 | 99.77% | Aditya Chopra | loss | 7 | ||||
2025-Jan-26 | Gabriel Matuszewski | win | 6 | 50.02% | Leon Peranovic | loss | 6 | ||||
2025-Jan-26 | Radovan Michalik | win | 5 | 99.77% | Tolga Basriev | loss | 9 | ||||
2025-Jan-26 | Patrick Jozwicki | win | 9 | 50.02% | Daniil Stepanov | loss | 7 | ||||
2025-Jan-26 | Matei Todoran | win | 3 | 99.77% | Hong Kiu Lau | loss | 3 | ||||
2025-Jan-26 | Kirill Kalennik | win | 2 | 99.77% | Jungwon Park | loss | 5 | ||||
2025-Jan-26 | Andrea Meduri | win | 9 | 99.77% | Mert Aytekin | loss | 7 | ||||
2025-Jan-26 | Francesco Mineo | win | 4 | 50.02% | Ivan Anhelov | loss | 7 | ||||
2025-Jan-26 | Emanuele Mazzeschi | win | 4 | 50.02% | Derin Sen | loss | 7 | ||||
2025-Jan-26 | Samuele Seghetti | win | 9 | 50.02% | Nikola Lulic | loss | 4 | ||||
2025-Jan-26 | Gabriele Mellerio | win | 8 | 99.77% | Benedikt Szerencsits | loss | 1 | ||||
2025-Jan-26 | Max Van Nunen | win | 8 | 99.77% | Balsa Djokovic | loss | 1 | ||||
2025-Jan-26 | Martins Rocens | win | 4 | 50.02% | Raffael Gasanov | loss | 7 | ||||
2025-Jan-26 | Juan Ignacio Zamora | win | 9 | 50.02% | Darius Florin Pop | loss | 8 | ||||
2025-Jan-26 | Syl Gaxherri | win | 2 | 99.77% | Ersel Kalfaoglu | loss | 4 | ||||
2025-Jan-26 | Sergio Badini | win | 6 | 99.77% | Vitaliy Zatsepin | loss | 5 | ||||
2025-Jan-26 | Oliver Johansson | win | 2 | 99.77% | Cagan Celik | loss | 1 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.
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