| Date | Name | Result | DN * | Prediction | Proba | Pos/Neg ** | Name | Result | DN | Pos/Neg | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-Feb-28 | Monika Ekstrand | win | 9 | 99.94% | Ayana Akli | loss | 9 | ||||
| 2025-Feb-28 | Monika Ekstrand | win | 8 | 50.09% | Mika Buchnik | loss | 6 | ||||
| 2025-Feb-27 | Monika Ekstrand | win | 8 | 50.09% | Mika Buchnik | loss | 6 | ||||
| 2025-Feb-25 | Monika Ekstrand | win | 6 | 50.09% | Sarah Van Emst | loss | 9 | ||||
| 2025-Feb-24 | Monika Ekstrand | win | 5 | 99.94% | Carmen Lopez Martinez | loss | 5 | ||||
| 2025-Feb-17 | Giulia Morlet | win | 4 | 99.94% | Monika Ekstrand | loss | 7 | ||||
| 2025-Jan-27 | Darja Vidmanova | win | 1 | 99.94% | Monika Ekstrand | loss | 7 | ||||
| 2024-Oct-23 | Alexis Blokhina | win | 9 | 99.94% | Monika Ekstrand | loss | 2 | ||||
| 2024-Oct-04 | Katrina Scott | win | 9 | 99.94% | Monika Ekstrand | loss | 1 | ||||
| 2024-Sep-30 | Mao Mushika | win | 8 | 99.94% | Monika Ekstrand | loss | 8 | ||||
| 2024-Sep-23 | Isabelle Boulais | win | 6 | 99.94% | Monika Ekstrand | loss | 1 | ||||
| 2024-Feb-26 | Allura Zamarripa | win | 2 | 99.94% | Monika Ekstrand | loss | 6 | ||||
| 2024-Feb-06 | Laima Vladson | win | 3 | 50.09% | Monika Ekstrand | loss | 4 | ||||
| 2024-Jan-09 | Rositsa Dencheva | win | 4 | 50.09% | Monika Ekstrand | loss | 6 | ||||
| 2024-Jan-05 | Jada Robinson | win | 2 | 50.09% | Monika Ekstrand | loss | 2 | ||||
| 2023-Nov-04 | Oana Georgeta Simion | win | 7 | 50.09% | Monika Ekstrand | loss | 1 | ||||
| 2023-Oct-19 | Carolina Gomez | win | 1 | 99.94% | Monika Ekstrand | loss | 6 | ||||
| 2023-Oct-10 | Monika Ekstrand | win | 6 | 50.09% | Annabelle Xu | loss | 6 | ||||
| 2023-Aug-03 | Elvina Kalieva | win | 4 | 50.09% | Monika Ekstrand | loss | 6 | ||||
| 2023-Mar-10 | Luiza Fullana | win | 1 | 99.94% | Monika Ekstrand | loss | 8 | ||||
| 2023-Feb-10 | Monika Ekstrand | win | 7 | 50.09% | Sabastiani Leon | loss | 8 | ||||
| 2023-Jan-16 | Lisa-Marie Rioux | win | 1 | 50.09% | Monika Ekstrand | loss | 3 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.