Date | Name | Result | DN * | Pos/Neg ** | Prediction | Proba | Name | Result | DN | Pos/Neg | |
---|---|---|---|---|---|---|---|---|---|---|---|
2025-Aug-07 | Jake Van Emburgh | win | 9 | 99.75% | Matthew Forbes | loss | 5 | ||||
2025-Jul-25 | Ryan Dickerson | win | 1 | 50.01% | Matthew Forbes | loss | 4 | ||||
2025-Jul-25 | Matthew Forbes | 4 | 50.01% | Leo Vithoontien | 8 | ||||||
2025-Jul-24 | Matthew Forbes | win | 3 | 50.01% | Leo Vithoontien | loss | 7 | ||||
2025-Jul-23 | Matthew Forbes | win | 2 | 50.01% | Alexander Bernard | loss | 3 | ||||
2025-Jul-15 | Ilyas Milad Fahim | win | 6 | 50.01% | Matthew Forbes | loss | 3 | ||||
2025-Jun-16 | Reece Falck | win | 7 | 50.01% | Matthew Forbes | loss | 3 | ||||
2025-May-21 | Patrick Maloney | win | 7 | 99.75% | Matthew Forbes | loss | 7 | ||||
2024-Dec-02 | Matthew Forbes | win | 3 | 99.75% | Juan Sebastian Gomez | loss | 8 | ||||
2024-Nov-13 | William Grant | win | 3 | 50.01% | Matthew Forbes | loss | 4 | ||||
2024-Oct-22 | Aidan Mayo | win | 1 | 50.01% | Matthew Forbes | loss | 3 | ||||
2024-Oct-07 | Naoya Honda | win | 9 | 99.75% | Matthew Forbes | loss | 6 | ||||
2024-Aug-27 | Roman Safiullin | win | 9 | 99.75% | Matthew Forbes | loss | 6 | ||||
2024-Jul-07 | Matthew Forbes | win | 3 | 99.75% | Conor Brady | loss | 3 | ||||
2024-Jun-02 | Toby Alex Kodat | win | 6 | 99.75% | Matthew Forbes | loss | 6 | ||||
2024-Apr-09 | Kaylan Bigun | win | 9 | 50.01% | Matthew Forbes | loss | 2 | ||||
2024-Feb-15 | Alex Rybakov | win | 5 | 99.75% | Matthew Forbes | loss | 6 | ||||
2024-Feb-13 | Matthew Forbes | win | 4 | 50.01% | Joao Vitor Goncalves Ceolin | loss | 9 | ||||
2024-Feb-06 | Daniil Sarksian | win | 9 | 99.75% | Matthew Forbes | loss | 6 | ||||
2024-Jan-21 | Nicolai Budkov Kjaer | win | 9 | 50.01% | Matthew Forbes | loss | 2 | ||||
2024-Jan-09 | Matthew Forbes | win | 8 | 50.01% | Mika Petkovic | loss | 4 | ||||
2023-Apr-09 | Fabio De Michele | win | 4 | 99.75% | Matthew Forbes | loss | 1 | ||||
2023-Mar-09 | Matthew Forbes | win | 9 | 99.75% | Matic Kriznik | loss | 8 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.