Date | Name | Result | DN * | Pos/Neg ** | Prediction | Proba | Name | Result | DN | Pos/Neg | |
---|---|---|---|---|---|---|---|---|---|---|---|
2025-Apr-27 | Mikhail Malakhovich | win | 5 | 99.54% |
|
Jiang Yi Qing | loss | 2 | |||
2024-Nov-24 | Stefan Latinovic | win | 2 | 99.54% |
|
Jiang Yi Qing | loss | 5 | |||
2024-Nov-06 | Tymur Bieldiugin | win | 5 | 99.54% |
|
Jiang Yi Qing | loss | 5 | |||
2024-Oct-28 | Ivan Zaytsev | win | 4 | 99.82% |
|
Jiang Yi Qing | loss | 8 | |||
2024-Oct-20 | Yannick Castelnuovo | win | 4 | 99.82% |
|
Jiang Yi Qing | loss | 9 | |||
2024-Oct-13 | Mahmut Emre Gurmeric | win | 9 | 99.82% |
|
Jiang Yi Qing | loss | 2 | |||
2024-Sep-29 | Jungwon Park | win | 6 | 99.82% |
|
Jiang Yi Qing | loss | 8 | |||
2024-Sep-22 | Matteo Meneghetti | win | 1 | 99.82% |
|
Jiang Yi Qing | loss | 1 | |||
2024-Sep-15 | Bader Alabdullah | win | 6 | 99.82% |
|
Jiang Yi Qing | loss | 3 | |||
2024-Aug-12 | Razvan Baiant | win | 1 | 99.82% |
|
Jiang Yi Qing | loss | 8 | |||
2024-May-13 | Alexander Orlov | win | 5 | 99.82% |
|
Jiang Yi Qing | loss | 6 | |||
2023-Nov-06 | Yitao Cao | win | 5 | 99.82% |
|
Jiang Yi Qing | loss | 4 | |||
2023-Sep-07 | Pietro Mugelli | win | 7 | 99.82% |
|
Jiang Yi Qing | loss | 3 | |||
2023-Aug-13 | David Kim | win | 5 | 99.82% |
|
Jiang Yi Qing | loss | 8 | |||
2023-Jul-30 | Zekai Li | win | 5 | 99.54% |
|
Jiang Yi Qing | loss | 6 | |||
2023-Jul-16 | Zijiang Yang | win | 7 | 99.54% |
|
Jiang Yi Qing | loss | 1 | |||
2023-Jun-25 | Haoda Jiang | win | 8 | 99.82% |
|
Jiang Yi Qing | loss | 9 | |||
2023-Jun-18 | Chen-Yu Lu | win | 3 | 99.82% |
|
Jiang Yi Qing | loss | 2 | |||
2023-Jun-08 | Yanjie Zheng | win | 3 | 99.82% |
|
Jiang Yi Qing | loss | 1 | |||
2023-Mar-09 | Jose Statham | win | 9 | 99.82% |
|
Jiang Yi Qing | loss | 8 | |||
2023-Feb-07 | Bang Shuo Yin | win | 1 | 99.82% |
|
Jiang Yi Qing | loss | 5 | |||
2022-Jul-08 | Riley Courtney | win | 1 | 99.82% |
|
Jiang Yi Qing | loss | 1 | |||
2022-May-06 | Jacob Bradshaw | win | 2 | 99.82% |
|
Jiang Yi Qing | loss | 6 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.