Prediction for Maja Chwalinska - Hanna Chang 22 October 2024
Head-to-Head Encounters: Maja Chwalinska - Hanna Chang
Previously, Maja Chwalinska and Hanna Chang 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 Maja Chwalinska and Hanna Chang
Maja Chwalinska
The current form demonstrated by Maja Chwalinska is presented below. We based this on the last ten played matches:
- Win/Loss: 7 / 3
- Win/Loss in the first set: 6 / 4
- Average total games: 19.3
Wins:
- 5 with a score of 2-0 (71.4%);
- 2 was a victory with a final score of 2-1 (28.6%).
Losses:
- 2 with a score of 0-2 occurred in the last 10 games (66.7%);
- and 1-2 in 1 (33.3%) respectively.
Hanna Chang
Statistics for the last ten matches:
- Win/Loss: 4 / 6
- Win/Loss in the first set: 4 / 6
- Average total games: 22.1
Winning results:
- 2-0 - 1 (71.4%);
- 2-1 - 3 (28.6%).
Losing results:
- 0-2 - 4 (66.7%);
- 1-2 - 2 (33.3%).
Prediction for the match between Maja Chwalinska and Hanna Chang
Both Maja Chwalinska and Hanna Chang deserve victory in this encounter, but their current form and recent results speak for themselves. It's worth considering the average number of won games in the last ten matches: Maja Chwalinska has a rating of 11.1, and they win 4.5 on average in the first set. At the same time, Hanna Chang has the following indicators for the same ten previous matches: 10.5 and 4.5. Numbers and statistics are the best allies in betting, and we have provided comprehensive information about the upcoming match. All the above facts, as well as the indicators of the opposing sides in the current season, point to the only correct betting option, which we will play: Total under (22.5) with coefficient 1.56
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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