Prediction for Reilly Opelka - Alexander Shevchenko 5 February 2025
Head-to-Head Encounters: Reilly Opelka - Alexander Shevchenko
Previously, Reilly Opelka and Alexander Shevchenko 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 Reilly Opelka and Alexander Shevchenko
Reilly Opelka
Statistics for the last ten matches:
- Win/Loss: 6 / 4
- Win/Loss in the first set: 7 / 3
- Average total games: 30.3
Statistics for winning results:
- 2-0 - 4 (66.7%);
- 2-1 - 1 (16.7%).
Statistics for losing matches:
- 0-2 - 1 (25%);
- 1-2 - 2 (50%).
Alexander Shevchenko
In turn, Alexander Shevchenko has the following indicators for the last ten matches:
- Win/Loss: 3 / 7
- Win/Loss in the first set: 3 / 7
- Average total games: 20.4
Winning results:
- 2 with a score of 2-0 (66.7%);
- 1 with a result of 2-1 (33.3%).
Losing results:
- 4 with a score of 0-2 (57.1%);
- 1 was lost 1-2 (14.3%).
Prediction for the match between Reilly Opelka and Alexander Shevchenko
Both Reilly Opelka and Alexander Shevchenko 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: Reilly Opelka has a rating of 15.8, and they win 5.8 on average in the first set. At the same time, Alexander Shevchenko has the following indicators for the same ten previous matches: 9.1 and 5.8. 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: Handicap 1 (-2.5) with coefficient 1.93
This forecast was generated using AI Scores24. The product is in beta testing and may contain minor errors.