Prediction for Alexandra Eala - Catherine Aulia 29 December 2024

Alexandra Eala - Catherine Aulia, 29 December 2024, tournament "WTA 125K Canberra, Australia Women Singles". As it is known, statistics are better than any arguments, and based on it, we have prepared a forecast and analytical insights for the game – we want to share with you the results and announce that the preferable betting choice for the tennis match is: Total over (16.5) with coefficient 1.53. Enjoy reading!

Head-to-Head Encounters: Alexandra Eala - Catherine Aulia

This meeting will be the first in the history of face-to-face encounters between the opponents. Alexandra Eala and Catherine Aulia 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 Alexandra Eala and Catherine Aulia

Alexandra Eala

Statistics for the last ten matches:

• Win/Loss: 6 / 4
• Win/Loss in the first set: 7 / 3
• Average total games: 21.7

Statistics for winning results:

• 2-0 - 4 (66.7%);
• 2-1 - 2 (33.3%).

Statistics for losing matches:

• 0-2 - 2 (50%);
• 1-2 - 2 (50%).

Catherine Aulia

Statistics for the last ten matches:

• Win/Loss: 5 / 5
• Win/Loss in the first set: 7 / 3
• Average total games: 19.9

Winning results:

• 2-0 - 5 (66.7%);
• 2-1 - 0 (33.3%).

Losing results:

• 0-2 - 3 (50%);
• 1-2 - 2 (50%).

Prediction for the match between Alexandra Eala and Catherine Aulia

Making a final choice for the outcome of the match between Alexandra Eala and Catherine Aulia 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 over (16.5) with coefficient 1.53.

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