This upcoming tennis match between Gadamauri, Tamila and Daems, Josy is expected to be a closely contested encounter. Based on current betting predictions, the match is likely to be competitive with a possibility of low-scoring sets. The odds suggest that both players will need to focus on consistency and strategic play to secure their positions in the match.
Gadamauri, Tamila
LWLLW-Daems, Josy
WWLWLDate: 2025-10-15Time: 10:30(FT)Venue: Not Available YetScore: 1-2
Predictions:
Market | Prediction | Odd | Result |
---|---|---|---|
Over 1st Set Games | 52.80% | (1-2) | |
Tie Break in 1st Set (No) | 86.40% | (1-2) | |
Under 1st Set Games | 67.00% | (1-2) | |
Under 2.5 Sets | 83.40% | (1-2) | |
Tie Break in Match (No) | 78.20% | (1-2) | |
Total Games 3-Way (Under 22) | 73.70% | (1-2) | |
Total Games 2-Way (Under 22.5) | 65.40% | (1-2) |
1st Set Analysis
The betting odds for the first set indicate a high probability of fewer than 22 games being played (Under 22: 71.40). This suggests that the set may end quickly, either through a dominant performance by one player or a tightly contested tiebreak situation. The probability of a tiebreak occurring in the first set is relatively low at 91.60%, indicating that the set might conclude within a normal number of games (Over 1st Set Games: 54.80%) rather than extending into extra points.
Match Overview
Looking at the match as a whole, the odds favor a conclusion in under 2.5 sets (Under 2.5 Sets: 85.30%). This implies that both players are expected to perform efficiently, potentially leading to swift victories in individual sets without dragging into additional tiebreaks or extended play. The likelihood of no tiebreak occurring throughout the entire match is relatively high at 79.30%, suggesting that decisive outcomes in sets are anticipated.
Total Games Prediction
The total number of games predicted to be played across all sets leans towards being under 22.5 (Total Games 2-Way (Under 22.5): 69.20%). This reinforces the expectation of a relatively fast-paced match where each player will aim to capitalize on their opportunities and avoid unnecessary errors.