WTA Tour
WTA World Ranking - 674 pts
🤖 Servebot
Lives and dies by the serve. Racks up free points with aces and unreturnable deliveries, holding serve with ease. Return games are the weaker side, making break points critical.
Strong against
Weak against
Age
27
Height
5'10" (178 cm)
Plays
Right-Handed
35
Wins
52
Losses
40.2%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 4/9 | 3/3 | 1/6 | - |
| 2025 | 5/6 | 2/1 | 1/4 | 2/1 |
| 2024 | 6/6 | 0/1 | 2/3 | 4/2 |
| 2023 | 6/12 | 0/3 | 4/7 | 2/2 |
| 2022 | 7/10 | 2/5 | 4/4 | 1/1 |
| 2021 | 3/2 | 3/1 | 0/1 | - |
| 2019 | 2/1 | - | 2/1 | - |
| 2018 | 1/2 | - | 1/2 | - |
| 2017 | 1/2 | - | 1/2 | - |
| 2016 | 0/2 | - | 0/1 | 0/1 |
| Career | 35/52 | 10/14 | 16/31 | 9/7 |
Averages · Last 90 days (8 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| May 5, 2026 | Rome | Round of 128 | Anastasia Potapova | Clay | 75 26 46 | L |
| Apr 21, 2026 | Madrid | Round of 64 | Anna Kalinskaya | Clay | 63 63 | W |
| Apr 21, 2026 | Madrid | Round of 32 | Mirra Andreeva | Clay | 36 26 | L |
| Apr 21, 2026 | Madrid | Round of 128 | Ajla Tomljanovic | Clay | 76 64 | W |
| Apr 6, 2026 | Linz | Round of 32 | Alycia Parks | Clay | 63 63 | W |
| Mar 30, 2026 | Charleston | Round of 64 | Bianca Andreescu | Clay | 61 46 16 | L |
| Mar 17, 2026 | Miami | Round of 128 | Elvina Kalieva | Hard | 36 76 67 | L |
| Mar 4, 2026 | Indian Wells | Round of 128 | Anna Blinkova | Hard | 46 57 | L |
| Feb 23, 2026 | Austin | Round of 32 | Bianca Andreescu | Hard | 63 57 64 | W |
| Feb 23, 2026 | Austin | Round of 16 | Yue Yuan | Hard | 36 26 | L |
French Open
Dalma Galfi is currently ranked #119 in the WTA singles rankings with 674 points.
Dalma Galfi (WTA #119) has a career win-loss record of 35-52 (40.2% win rate) and has won 0 WTA titles.
Smashrs tracks Dalma's upcoming matches with AI-powered predictions across six independent models. Our confidence score reflects the degree of agreement between models - a higher score means stronger consensus. Check back before each match for the latest prediction.