Prediction for Veronika Erjavec - Sinja Kraus 29 December 2024

Veronika Erjavec - Sinja Kraus, 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 sets under (2.5) with coefficient 1.53. Enjoy reading!

Head-to-Head Encounters: Veronika Erjavec - Sinja Kraus

Veronika Erjavec and Sinja Kraus have already had the pleasure of playing against each other. In total, they have played: 0. On average, their head-to-head meetings take place over 0 sets and 0 games. Veronika Erjavec wins games on average: 0, and the opposing side wins: 0.

Statistical Preview of Veronika Erjavec and Sinja Kraus

Veronika Erjavec

Statistics for the last ten matches:

• Win/Loss: 5 / 5
• Win/Loss in the first set: 5 / 5
• Average total games: 18.6

Statistics for winning results:

• 2-0 - 5 (100%);
• 2-1 - 0 (0%).

Statistics for losing matches:

• 0-2 - 4 (80%);
• 1-2 - 1 (20%).

Sinja Kraus

Statistics for the last ten matches:

• Win/Loss: 5 / 5
• Win/Loss in the first set: 7 / 3
• Average total games: 22.3

Winning results:

• 2-0 - 3 (100%);
• 2-1 - 2 (0%).

Losing results:

• 0-2 - 3 (80%);
• 1-2 - 2 (20%).

Prediction for the match between Veronika Erjavec and Sinja Kraus

Making a final choice for the outcome of the match between Veronika Erjavec and Sinja Kraus 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 sets under (2.5) with coefficient 1.53.

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