Prediction for Maya Joint - Julia Grabher 24 February 2025

Maya Joint - Julia Grabher, 25 February 2025, tournament "WTA Merida" – that's how the sign for the upcoming match looks. Processing the obtained statistical data has allowed us to make a prediction for this encounter, and we believe that the preferable bet will be: Total under (21.5) with coefficient 1.52.

Head-to-Head Encounters: Maya Joint - Julia Grabher

This meeting will be the first in the history of face-to-face encounters between the opponents. Maya Joint and Julia Grabher will put in all their efforts to open the score of victories in their personal matchups. But which of them will succeed? Read below.

Statistical Preview of Maya Joint and Julia Grabher

Maya Joint

Statistics for the last ten matches:

• Win/Loss: 7 / 3
• Win/Loss in the first set: 5 / 5
• Average total games: 21.2

Statistics for winning results:

• 2-0 - 4 (57.1%);
• 2-1 - 3 (42.9%).

Statistics for losing matches:

• 0-2 - 3 (100%);
• 1-2 - 0 (0%).

Julia Grabher

On the other hand, Julia Grabher has the following indicators for the last ten matches:

• Win/Loss: 4 / 6
• Win/Loss in the first set: 4 / 6
• Average total games: 20.1

Winning results:

• 2 with a score of 2-0 (50%);
• 2 with a result of 2-1 (50%).

Losing results:

• 5 with a score of 0-2 (83.3%);
• 1 was lost 1-2 (16.7%).

Prediction for the match between Maya Joint and Julia Grabher

Making a final choice for the outcome of the match between Maya Joint and Julia Grabher has become much easier with the statistical data we have provided. However, the victory of one athlete or another will depend not only on the numbers; it is worth considering the emotional state of the opponents, their commitment to playing on the current surface, and the presence or absence of possible injuries/micro-injuries. Only a careful analysis of both opposing sides will help determine the only correct betting option. And we have it – Total under (21.5) with coefficient 1.52.

This forecast was generated using AI Scores24. The product is in beta testing and may contain minor errors.