Prediction for Dalibor Svrcina - Sanhui Shin 29 October 2024
Head-to-Head Encounters: Dalibor Svrcina - Sanhui Shin
Previously, Dalibor Svrcina and Sanhui Shin have not played against each other. It will be particularly interesting to witness their debut face-to-face confrontation, which promises to be vibrant and fascinating. The result, of course, may be surprising, as tennis often brings unexpected twists. However, we suggest relying on statistics and placing a bet that, in our view, should be approached with confidence.Statistical Preview of Dalibor Svrcina and Sanhui Shin
Dalibor Svrcina
The current form demonstrated by Dalibor Svrcina is presented below. We based this on the last ten played matches:
- Win/Loss: 6 / 4
- Win/Loss in the first set: 5 / 5
- Average total games: 21
Wins:
- 4 with a score of 2-0 (66.7%);
- 2 was a victory with a final score of 2-1 (33.3%).
Losses:
- 2 with a score of 0-2 occurred in the last 10 games (50%);
- and 1-2 in 2 (50%) respectively.
Sanhui Shin
Let's talk about how the current season is going for Sanhui Shin. Data for the last ten games:
- Win/Loss: 6 / 4
- Win/Loss in the first set: 6 / 4
- Average total games: 19.2
Victory results:
- 5 with a score of 2-0 (83.3%);
- 1 with a result of 2-1 (16.7%).
Defeat results:
- 3 with a score of 0-2 (75%);
- 1 was lost 1-2 (25%).
Prediction for the match between Dalibor Svrcina and Sanhui Shin
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. Dalibor Svrcina averages 22.7 games per match, winning 11.6 of them, and 4.8 games in the first set. Sanhui Shin has the following results: the average total games over the past year – 22, with 11.8 victories, and an average of 5.1 games in the starting set. Considering this statistics, we choose the bet Total under (22.5) with coefficient 1.43.
This forecast was generated using AI Scores24. The product is in beta testing and may contain minor errors.

Predictions are absent.
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