Prediction for Aguilar J C M / Muamba N - Chopra K / Neff A 15 June 2024
Head-to-Head Encounters: Aguilar J C M / Muamba N - Chopra K / Neff A
Aguilar J C M / Muamba N and Chopra K / Neff A don't know what to expect from each other, as they will be crossing racquets for the first time. The history of face-to-face encounters is undoubtedly important for making predictions in tennis matches, so the absence of head-to-head stats is a challenge but not critical. Our choice, based on statistics and other indicators, has already been made. To find out more, read below.Statistical Preview of Aguilar J C M / Muamba N and Chopra K / Neff A
Aguilar J C M / Muamba N
Let's examine the results of the last ten matches in the current season for Aguilar J C M / Muamba N. Here are the key indicators:
- Win/Loss: 3 / 0
- Win/Loss in the first set: 3 / 0
- Average total games: 16.3
Results of victories:
- 3 with a score of 2-0 (100%);
- 0 resulted in a victory with a score of 2-1 (0%).
Results of defeats:
- 0 with a score of 0-2 (0%);
- 0 was lost with a score of 1-2 (0%).
Chopra K / Neff A
Let's talk about how the current season is going for Chopra K / Neff A. Data for the last ten games:
- Win/Loss: 2 / 0
- Win/Loss in the first set: 2 / 0
- Average total games: 27.5
Victory results:
- 1 with a score of 2-0 (50%);
- 1 with a result of 2-1 (50%).
Defeat results:
- 0 with a score of 0-2 (0%);
- 0 was lost 1-2 (0%).
Prediction for the match between Aguilar J C M / Muamba N and Chopra K / Neff A
We suggest identifying the likely winner of the upcoming confrontation based on their average winning game performance per match. To do this, let's look at the data for both sides over the past year. Aguilar J C M / Muamba N averages 16.3 games per match, winning 12 of them, and 6 games in the first set. Chopra K / Neff A has the following results: the average total games over the past year – 27.5, with 17 victories, and an average of 6 games in the starting set. Considering this statistics, we choose the bet Total under (21.5).
This forecast was generated using AI Scores24. The product is in beta testing and may contain minor errors.
