Date | Name | Result | DN * | Pos/Neg ** | Prediction | Proba | Name | Result | DN | Pos/Neg | |
---|---|---|---|---|---|---|---|---|---|---|---|
2025-Nov-07 | Philip Henning | win | 3 | 99.75% | Digvijaypratap Singh | loss | 4 | ||||
2025-Nov-03 | Grigoriy Lomakin | win | 9 | 99.75% | Digvijaypratap Singh | loss | 9 | ||||
2025-Oct-07 | Digvijaypratap Singh | win | 3 | 50.01% | Hugo Pierre | loss | 5 | ||||
2025-Aug-07 | Digvijaypratap Singh | 1 | 50.01% | Seydina Andre | 2 | ||||||
2025-Aug-07 | Digvijaypratap Singh | win | 1 | 50.01% | Emile Hudd | loss | 6 | ||||
2025-Aug-01 | Florent Bax | 6 | 99.75% | Digvijaypratap Singh | 4 | ||||||
2025-Jul-31 | Digvijaypratap Singh | win | 6 | 50.01% | Paul Inchauspe | loss | 7 | ||||
2025-Jul-30 | Digvijaypratap Singh | win | 5 | 50.01% | Seydina Andre | loss | 6 | ||||
2025-Jul-15 | Adhithya Ganesan | win | 9 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2025-Jul-11 | Philip Henning | 3 | 99.75% | Digvijaypratap Singh | 4 | ||||||
2025-Jul-10 | Digvijaypratap Singh | 3 | 50.01% | Hugo Pierre | 5 | ||||||
2025-Jul-08 | Digvijaypratap Singh | win | 1 | 50.01% | Seydina Andre | loss | 2 | ||||
2025-Mar-25 | Alexandr Binda | win | 5 | 50.01% | Digvijaypratap Singh | loss | 5 | ||||
2025-Mar-19 | Woobin Shin | win | 5 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2025-Jan-08 | Florent Bax | win | 6 | 99.75% | Digvijaypratap Singh | loss | 4 | ||||
2025-Jan-07 | Luc Koenig | win | 8 | 50.01% | Digvijaypratap Singh | loss | 3 | ||||
2025-Jan-04 | Sidharth Rawat | win | 8 | 99.75% | Digvijaypratap Singh | loss | 9 | ||||
2023-Dec-10 | Karan Singh | win | 8 | 50.01% | Digvijaypratap Singh | loss | 6 | ||||
2023-Dec-04 | Yuta Shimizu | win | 4 | 99.75% | Digvijaypratap Singh | loss | 9 | ||||
2023-Oct-26 | Manish Sureshkumar | win | 2 | 50.01% | Digvijaypratap Singh | loss | 2 | ||||
2023-Oct-22 | Ramkumar Ramanathan | win | 6 | 50.01% | Digvijaypratap Singh | loss | 7 | ||||
2023-Oct-17 | Digvijaypratap Singh | win | 2 | 50.01% | Siddhant Banthia | loss | 8 | ||||
2023-Sep-17 | Digvijaypratap Singh | win | 1 | 99.75% | Walid Ahouda | loss | 6 | ||||
2023-Sep-06 | Hiroki Moriya | win | 2 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2023-Sep-04 | Digvijaypratap Singh | win | 6 | 50.01% | Sidharth Rawat | loss | 5 | ||||
2023-Aug-25 | Rishab Agarwal | win | 5 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2023-Aug-22 | Digvijaypratap Singh | win | 5 | 50.01% | Ke Hau Hung | loss | 3 | ||||
2023-Aug-16 | Kazuki Nishiwaki | win | 1 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2023-Aug-06 | Digvijaypratap Singh | win | 7 | 50.01% | Markos Kalovelonis | loss | 8 | ||||
2023-Jul-24 | Renta Tokuda | win | 5 | 50.01% | Digvijaypratap Singh | loss | 6 | ||||
2023-Jul-13 | Pawit Sornlaksup | win | 5 | 99.75% | Digvijaypratap Singh | loss | 4 | ||||
2023-Jun-27 | Yuta Kawahashi | win | 8 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2023-Jun-20 | Sora Fukuda | win | 1 | 50.01% | Digvijaypratap Singh | loss | 1 | ||||
2023-Jun-13 | Millen Hurrion | win | 5 | 50.01% | Digvijaypratap Singh | loss | 3 | ||||
2023-Jun-07 | Maximus Jones | win | 5 | 50.01% | Digvijaypratap Singh | loss | 6 | ||||
2023-May-26 | Rishab Agarwal | win | 3 | 50.01% | Digvijaypratap Singh | loss | 6 | ||||
2023-May-19 | Alec Beckley | win | 3 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2023-Apr-29 | Yanki Erel | win | 2 | 99.75% | Digvijaypratap Singh | loss | 8 | ||||
2023-Apr-18 | Jake Delaney | win | 6 | 50.01% | Digvijaypratap Singh | loss | 6 | ||||
2023-Jan-10 | Daniel Cukierman | win | 1 | 99.75% | Digvijaypratap Singh | loss | 4 | ||||
2022-Jul-21 | Digvijaypratap Singh | win | 2 | 99.75% | Mao Takada | loss | 3 | ||||
2022-Jun-09 | Digvijaypratap Singh | win | 7 | 50.01% | Miguel Avendano Cadena | loss | 9 | ||||
2022-Apr-10 | Digvijaypratap Singh | win | 6 | 50.01% | Gunawan Trismuwantara | loss | 8 | ||||
2021-Nov-10 | Digvijaypratap Singh | win | 3 | 99.75% | Iiro Vasa | loss | 5 | ||||
2021-Oct-20 | Digvijaypratap Singh | win | 3 | 99.75% | Abdulhamid Mubarak | loss | 4 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.