| Date | Name | Result | DN * | Prediction | Proba | Pos/Neg ** | Name | Result | DN | Pos/Neg | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-Feb-24 | Lingxi Zhao | win | 8 | 50.12% | Yuchen Pan | loss | 8 | ||||
| 2025-Feb-24 | Lingxi Zhao | win | 8 | 50.12% | Yuchen Pan | loss | 8 | ||||
| 2024-Dec-05 | Yuchen Pan | win | 7 | 50.12% | Xirui Liu | loss | 9 | ||||
| 2024-Oct-20 | Yuchen Pan | win | 2 | 50.12% | Runyu Zhao | loss | 7 | ||||
| 2024-Jun-30 | Stefan Vujic | win | 5 | 50.12% | Yuchen Pan | loss | 8 | ||||
| 2024-May-19 | Xinyuan Xie | win | 5 | 50.12% | Yuchen Pan | loss | 5 | ||||
| 2023-Nov-06 | Ethan Yi Hang Leung | win | 3 | 99.94% | Yuchen Pan | loss | 6 | ||||
| 2023-Oct-31 | Fabio De Michele | win | 5 | 50.12% | Yuchen Pan | loss | 3 | ||||
| 2023-Oct-23 | Mika Lipp | win | 4 | 50.12% | Yuchen Pan | loss | 4 | ||||
| 2023-Oct-16 | Yuchen Pan | win | 6 | 50.12% | Ye Hongyu | loss | 5 | ||||
| 2023-Oct-09 | Alessandro Aufiero | win | 9 | 99.94% | Yuchen Pan | loss | 8 | ||||
| 2023-Oct-07 | Zhenxiong Dong | win | 7 | 50.12% | Yuchen Pan | loss | 6 | ||||
| 2023-Sep-24 | Adam Panaras | win | 2 | 50.12% | Yuchen Pan | loss | 4 | ||||
| 2023-Sep-10 | Maxence Rivet | win | 5 | 50.12% | Yuchen Pan | loss | 8 | ||||
| 2023-Aug-13 | Dingzheng Nima | win | 4 | 99.94% | Yuchen Pan | loss | 1 | ||||
| 2023-Jul-17 | Jianhao Sheng | win | 7 | 99.94% | Yuchen Pan | loss | 4 | ||||
| 2023-Jun-28 | Xiaofei Wang | win | 3 | 50.12% | Yuchen Pan | loss | 5 | ||||
| 2023-Jun-08 | Rui Ning Huang | win | 3 | 99.94% | Yuchen Pan | loss | 3 | ||||
| 2023-Jun-03 | Freddy Blaydes | win | 9 | 99.94% | Yuchen Pan | loss | 7 | ||||
| 2023-May-06 | Yuquan Jin | win | 1 | 50.12% | Yuchen Pan | loss | 9 | ||||
| 2023-Mar-26 | Tiago Pereira | win | 4 | 50.12% | Yuchen Pan | loss | 9 | ||||
| 2023-Mar-19 | Rishabdev Raman | win | 1 | 50.12% | Yuchen Pan | loss | 2 | ||||
| 2023-Mar-04 | Maurus Malgiaritta | win | 9 | 99.94% | Yuchen Pan | loss | 5 | ||||
| 2023-Feb-10 | Nicolas Philibert | win | 5 | 50.12% | Yuchen Pan | loss | 1 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.