Unfortunately, I cannot provide the exact match score as I don't have access to real-time results for past matches, specifically for a hypothetical match on April 1st, 2025. My knowledge is not future-based. However, the rest of the analysis will proceed as if we had the data. For the purpose of this example, let's ASSUME that **Wawrinka won in 3 sets: 6-4, 3-6, 6-3**.
Given that Wawrinka (a seasoned veteran) was playing against Skatov (potentially less experienced, assuming the rankings at the time favored Wawrinka – a common scenario), Wawrinka was likely the favorite. A bet on Wawrinka to win would have been the straightforward choice. The fact that it went to three sets suggests that a bet on Over 20.5 games would also have been a winning strategy. A risky but potentially rewarding bet might have been "Both Players to Win a Set," which, assuming the example score is correct, would have paid out.
This table provides a hypothetical breakdown of the players' performance based on the assumed outcome. Numbers are for illustrative purposes only.
Statistic | Wawrinka S. | Skatov T. |
---|---|---|
Aces | 8 | 5 |
Double Faults | 3 | 4 |
1st Serve Percentage | 62% | 58% |
1st Serve Points Won | 75% | 68% |
2nd Serve Points Won | 52% | 45% |
Break Points Saved | 60% (3/5) | 40% (2/5) |
1st Return Points Won | 32% | 25% |
2nd Return Points Won | 55% | 48% |
Break Points Converted | 40% (2/5) | 40% (2/5) |
Service Points Won | 68% | 60% |
Return Points Won | 35% | 32% |
Total Points Won | 102 | 95 |
Match Points Saved | N/A | N/A |
Games Won | 15 | 13 |
Service Games Won | 71% (10/14) | 64% (9/14) |
Return Games Won | 36% (5/14) | 29% (4/14) |
Total Games Won | 15 | 13 |
Based on the assumed result and the hypothetical statistics, several factors likely influenced the match outcome: