Date | Name | Result | DN * | Pos/Neg ** | Prediction | Proba | Name | Result | DN | Pos/Neg | |
---|---|---|---|---|---|---|---|---|---|---|---|
2025-Dec-03 | Tomislav Edward Papac | win | 7 | 50.01% | Yuichiro Inui | loss | 4 | ||||
2025-Oct-03 | Tomislav Edward Papac | win | 5 | 99.75% | Junsu Kang | loss | 3 | ||||
2025-Mar-17 | Tomislav Edward Papac | win | 3 | 99.75% | Ashwin Ryan Sharma | loss | 6 | ||||
2025-Feb-23 | Tomislav Edward Papac | win | 8 | 50.01% | Sam Hoskins | loss | 6 | ||||
2024-Nov-03 | Tomislav Edward Papac | win | 5 | 50.01% | Benjamin O'Connell | loss | 7 | ||||
2024-Sep-17 | Tomislav Edward Papac | win | 8 | 99.75% | Noah Brownrigg | loss | 3 | ||||
2024-Sep-16 | Tomislav Edward Papac | win | 7 | 99.75% | Christopher Kerswell | loss | 9 | ||||
2024-Aug-26 | Tomislav Edward Papac | win | 7 | 50.01% | Loic Namigandet Tenguere | loss | 6 | ||||
2024-Aug-25 | Tomislav Edward Papac | win | 6 | 99.75% | Taentawan Taddeo Majoli Maggioli | loss | 3 | ||||
2024-Jul-16 | Tomislav Edward Papac | win | 5 | 50.01% | Changli Zhang | loss | 1 | ||||
2024-Jul-15 | Tomislav Edward Papac | win | 4 | 50.01% | Yitao Cao | loss | 2 | ||||
2024-Feb-26 | Tomislav Edward Papac | win | 1 | 50.01% | Arjun Mehrotra | loss | 4 | ||||
2024-Jan-07 | Tomislav Edward Papac | win | 8 | 50.01% | Natsuki Yamamoto | loss | 8 | ||||
2023-Nov-28 | Tomislav Edward Papac | win | 2 | 50.01% | Zane Stevens | loss | 8 | ||||
2023-Nov-27 | Tomislav Edward Papac | win | 1 | 99.75% | Lleyton Richards | loss | 8 | ||||
2023-Apr-10 | Tomislav Edward Papac | win | 4 | 50.01% | Thomas Nicholas Gadecki | loss | 4 | ||||
2023-Feb-10 | Tomislav Edward Papac | win | 2 | 99.75% | Paul Howe | loss | 8 | ||||
2022-May-22 | Tomislav Edward Papac | win | 7 | 99.75% | Kaeri Hernandez Mariona | loss | 3 | ||||
2022-May-17 | Rafael De Alba | win | 2 | 50.01% | Tomislav Edward Papac | loss | 2 | ||||
2022-Mar-20 | Tomislav Edward Papac | win | 3 | 99.75% | Mao Takada | loss | 7 | ||||
2020-Feb-03 | Tomislav Edward Papac | win | 1 | 99.75% | Mike Loccisano | loss | 2 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.