| Date | Name | Result | DN * | Prediction | Proba | Pos/Neg ** | Name | Result | DN | Pos/Neg | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-Mar-27 | Laura Hietaranta | win | 3 | 50.12% | Marcelina Podlinska | loss | 8 | ||||
| 2025-Mar-22 | Rositsa Dencheva | win | 2 | 50.12% | Marcelina Podlinska | loss | 3 | ||||
| 2025-Mar-21 | Marcelina Podlinska | win | 2 | 50.12% | Olga Helmi | loss | 9 | ||||
| 2024-Nov-15 | Dimitra Pavlou | win | 4 | 50.12% | Marcelina Podlinska | loss | 3 | ||||
| 2024-Nov-13 | Marcelina Podlinska | win | 1 | 50.12% | Emma Slavikova | loss | 1 | ||||
| 2024-Nov-13 | Marcelina Podlinska | win | 1 | 50.12% | Emma Slavikova | loss | 1 | ||||
| 2024-Oct-24 | Cristina Dinu | win | 7 | 50.12% | Marcelina Podlinska | loss | 2 | ||||
| 2024-Oct-22 | Marcelina Podlinska | win | 9 | 50.12% | Krystyna Pochtovyk | loss | 8 | ||||
| 2024-Oct-22 | Marcelina Podlinska | win | 9 | 50.12% | Krystyna Pochtovyk | loss | 8 | ||||
| 2024-Oct-17 | Oleksandra Oliynykova | win | 6 | 50.12% | Marcelina Podlinska | loss | 4 | ||||
| 2024-Oct-10 | Eva Marie Voracek | win | 5 | 50.12% | Marcelina Podlinska | loss | 6 | ||||
| 2024-Oct-07 | Katarina Kuzmova | win | 4 | 50.12% | Marcelina Podlinska | loss | 3 | ||||
| 2024-Sep-23 | Luisa Meyer Auf Der Heide | win | 3 | 50.12% | Marcelina Podlinska | loss | 9 | ||||
| 2024-Sep-22 | Marcelina Podlinska | win | 8 | 50.12% | Mariia Masiianskaia | loss | 6 | ||||
| 2024-Sep-22 | Tea Kovacevic | win | 7 | 99.94% | Marcelina Podlinska | loss | 8 | ||||
| 2024-Sep-08 | Renata Jamrichova | win | 5 | 99.94% | Marcelina Podlinska | loss | 3 | ||||
| 2024-Sep-04 | Loes Ebeling Koning | win | 2 | 50.12% | Marcelina Podlinska | loss | 8 | ||||
| 2024-Aug-28 | Federica Sacco | win | 3 | 50.12% | Marcelina Podlinska | loss | 4 | ||||
| 2024-Aug-14 | Gabriela Ce | win | 6 | 99.94% | Marcelina Podlinska | loss | 8 | ||||
| 2024-Aug-03 | Ksenia Zaytseva | win | 7 | 50.12% | Marcelina Podlinska | loss | 6 | ||||
| 2024-Jul-21 | Destanee Aiava | win | 6 | 99.94% | Marcelina Podlinska | loss | 5 | ||||
| 2024-Jun-27 | Stephanie Judith Visscher | win | 7 | 99.94% | Marcelina Podlinska | loss | 1 | ||||
| 2024-Jun-14 | Yuki Naito | win | 4 | 50.12% | Marcelina Podlinska | loss | 6 | ||||
| 2024-Jun-13 | Marcelina Podlinska | win | 2 | 50.12% | Barbora Michalkova | loss | 5 | ||||
| 2024-Jun-11 | Bianca Elena Barbulescu | win | 5 | 50.12% | Marcelina Podlinska | loss | 3 | ||||
| 2024-May-30 | Dora Miskovic | win | 6 | 99.94% | Marcelina Podlinska | loss | 3 | ||||
| 2024-May-29 | Marcelina Podlinska | win | 2 | 50.12% | Emma Slavikova | loss | 2 | ||||
| 2024-May-29 | Marcelina Podlinska | win | 2 | 50.12% | Emma Slavikova | loss | 2 | ||||
| 2024-May-22 | Anamaria Federica Oana | win | 7 | 50.12% | Marcelina Podlinska | loss | 4 | ||||
| 2024-May-05 | Helena Buchwald | win | 5 | 99.94% | Marcelina Podlinska | loss | 5 | ||||
| 2024-May-04 | Caroline Werner | win | 5 | 99.94% | Marcelina Podlinska | loss | 4 | ||||
| 2024-May-04 | Marcelina Podlinska | win | 4 | 50.12% | Maria Toma | loss | 5 | ||||
| 2024-Apr-18 | Sonja Zhiyenbayeva | win | 5 | 99.94% | Marcelina Podlinska | loss | 8 | ||||
| 2024-Apr-16 | Marcelina Podlinska | win | 6 | 50.12% | Alessandra Mazzola | loss | 6 | ||||
| 2024-Mar-16 | Nina Vargova | win | 1 | 50.12% | Marcelina Podlinska | loss | 5 | ||||
| 2024-Mar-05 | Caijsa Wilda Hennemann | win | 3 | 99.94% | Marcelina Podlinska | loss | 3 | ||||
| 2024-Jan-28 | Marcelina Podlinska | win | 6 | 50.12% | Amina Salibayeva | loss | 9 | ||||
| 2024-Jan-12 | Evialina Laskevich | win | 1 | 99.94% | Marcelina Podlinska | loss | 8 | ||||
| 2024-Jan-05 | Marcelina Podlinska | win | 1 | 50.12% | Ella Haavisto | loss | 1 | ||||
| 2023-Nov-30 | Marcelina Podlinska | win | 8 | 50.12% | Esther Lopez Alcaraz | loss | 8 | ||||
| 2023-May-21 | Marcelina Podlinska | win | 2 | 50.12% | Anastasia Piangerelli | loss | 7 | ||||
| 2023-Apr-16 | Marcelina Podlinska | win | 5 | 50.12% | Annemarie Lazar | loss | 8 |
* Day_number.
** Positive_Negative_TextPositive multiplier the bigger the better. Negative multiplier the bigger the worse.