Prediction for Cristina Bucsa / Sara Sorribes Tormo - Andreeva M / Shnaider D 2 August 2024
Head-to-Head Encounters: Cristina Bucsa / Sara Sorribes Tormo - Andreeva M / Shnaider D
Cristina Bucsa / Sara Sorribes Tormo and Andreeva M / Shnaider D will play against each other for the first time. Their confrontation looks even more interesting and intriguing. The match result may be unpredictable, but we have a scenario with the most likely outcome, which we will share with you now.Statistical Preview of Cristina Bucsa / Sara Sorribes Tormo and Andreeva M / Shnaider D
Cristina Bucsa / Sara Sorribes Tormo
Statistics for the last ten matches:
- Win/Loss: 7 / 0
- Win/Loss in the first set: 7 / 0
- Average total games: 23.1
Statistics for winning results:
- 2-0 - 5 (71.4%);
- 2-1 - 2 (28.6%).
Statistics for losing matches:
- 0-2 - 0 (0%);
- 1-2 - 0 (0%).
Andreeva M / Shnaider D
Statistics for the last ten matches:
- Win/Loss: 2 / 0
- Win/Loss in the first set: 2 / 0
- Average total games: 24.5
Winning results:
- 2-0 - 1 (71.4%);
- 2-1 - 1 (28.6%).
Losing results:
- 0-2 - 0 (0%);
- 1-2 - 0 (0%).
Prediction for the match between Cristina Bucsa / Sara Sorribes Tormo and Andreeva M / Shnaider D
This encounter promises to be challenging for both opponents. Often, winning the first set gives a psychological advantage in the match, although it is not a decisive factor for the final victory. Nevertheless, let's examine the statistics of wins and losses in the initial set for both sides. Over the last 365 days, Cristina Bucsa / Sara Sorribes Tormo has won the first set 7 times and lost it 0 times. In comparison, Andreeva M / Shnaider D has demonstrated strength by winning 2 times, losing 0 times. While these figures may guide the choice of the winner based on the first set's outcome, it's essential to note that not everything depends solely on these statistics. Considering the facts outlined in our preview, we recommend betting on: Victory 1.
This forecast is generated using AI Scores24. The product is in beta testing and may contain minor errors.
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