This analysis provides an expert overview and betting predictions for the upcoming tennis match between Angelica Raggi and Gaia Maduzzi, scheduled for October 16, 2025. The predictions are based on historical performance, current form, and betting odds available as of the date.
Angelica, Raggi
WLWLW-Maduzzi, Gaia
WLWLWDate: 2025-10-16Time: 11:10Venue: Not Available YetPredictions:
| Market | Prediction | Odd | Result |
|---|---|---|---|
| Over 1st Set Games | 53.00% | Make Bet | |
| Under 1st Set Games | 53.60% | Make Bet | |
| Tie Break in 1st Set (No) | 84.10% | Make Bet | |
| Tie Break in Match (No) | 78.20% | Make Bet | |
| Under 2.5 Sets | 68.10% | Make Bet | |
| Total Games 3-Way (Under 22) | 57.70% | Make Bet | |
| Total Games 2-Way (Over 22.5) | 52.90% | Make Bet |
Betting Predictions
1st Set Games
- Over 1st Set Games (52.40): This option suggests a higher number of games in the first set, which could be influenced by Raggi’s aggressive baseline play leading to longer rallies.
- Under 1st Set Games (51.30): This is more likely if Maduzzi’s defensive skills force the set into a tight contest with fewer games.
Tie Break in 1st Set
- No Tie Break in 1st Set (84.40): Given both players’ ability to maintain focus under pressure, it’s plausible that the first set could be decided without a tie break.
Tie Break in Match
- No Tie Break in Match (73.30): If both players manage their energy well and capitalize on opportunities early, it’s possible to avoid a tie break in the match entirely.
Total Sets Played
- Under 2.5 Sets (71.30): This prediction favors a quicker match outcome, possibly due to one player establishing dominance early on.
Total Games Played
- Total Games Under 22 (56.60): A lower total game count could result from a decisive first set or a strong performance by one player leading to quick victories in subsequent sets.
- Total Games Over 22.5 (54.30): Conversely, this suggests a more drawn-out match with extended rallies and competitive play across all sets.
The predictions reflect current trends and statistical data, providing insights into potential outcomes based on various factors influencing the match dynamics.
