Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Daria Soldatova
Stats
| Current Rank | - |
| Best Rank | - |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 22(12 Jun 2002) |
| Country |  Russia |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  N/A |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 40.0% | 2 / 3 |
| Hard | 0.0% | 0 / 0 |
| Clay | 40.0% | 2 / 3 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| QF | 0.0% | 0 / 2 |
| Q1 round | 66.7% | 2 / 1 |
Tournament Level Breakdown
W/L
| Grand Slam | 0.0% | 0 / 0 |
| Masters | 0.0% | 0 / 0 |
| Main Tour | 0.0% | 0 / 0 |
| Cups | 0.0% | 0 / 0 |
| Challengers | 50.0% | 1 / 1 |
| Futures | 33.3% | 1 / 2 |
Opponent Rank Breakdown
W/L
| Vs No.1 | 0.0% | 0 / 0 |
| Vs Top.5 | 0.0% | 0 / 0 |
| Vs Top.10 | 0.0% | 0 / 0 |
| Vs Top.20 | 0.0% | 0 / 0 |
| Vs Top.50 | 0.0% | 0 / 0 |
| Vs Top.100 | 0.0% | 0 / 0 |
| opponent | score | h2h | |||
 W25 Moscow 21 Jul 19 | |||||
| QF |  Stats | 6-0 6-1 | H2H | ||
| Q1 | Stats | 6-4 6-3 | H2H | ||
| Moscow 26 Aug 18 | |||||
| Q1 | 5-7 6-1 6-2 | H2H | |||
| Moscow 19 Aug 18 | |||||
| QF | 6-4 2-6 6-0 | H2H | |||
| Q1 | 6-4 6-1 | H2H | |||
Match Stats
Service Stats
| Aces per Game | 0.00 | 0 / 16 |
| DFs per Game | 0.31 | 5 / 16 |
| 1st Serve % | 64.0% | 64 / 100 |
| 1st Serve Win% | 53.1% | 34 / 64 |
| 2nd Serve Win% | 47.2% | 17 / 36 |
| Serve Pts Win% | 51.0% | 51 / 100 |
Return Stats
| Opp Aces per Game | 0.13 | 2 / 16 |
| Opp DFs per Game | 0.50 | 8 / 16 |
| Opp 1st Serve % | 60.8% | 62 / 102 |
| 1st Rtn Win% | 30.6% | 19 / 62 |
| 2nd Rtn Win% | 60.0% | 24 / 40 |
| Rtn Pts Win% | 42.2% | 43 / 102 |
Break Points (Serve)
| BPs Saved per game | 0.31 | 5 / 16 |
| BPs Faced per game | 0.81 | 13 / 16 |
| BP Save % | 38.5% | 5 / 13 |
| Service Hold % | 50.0% | 8 / 16 |
Break Points (Rtn)
| BPs Won per game | 0.31 | 5 / 16 |
| BPs Opps per game | 0.75 | 12 / 16 |
| BP Won % | 41.7% | 5 / 12 |
| Opp Hold % | 68.8% | 11 / 16 |
Daria Soldatova interesting Heads to Heads
| Vasilisa Aponasenko | H2H |
| Anastasia Sukhotina | H2H |
| Darya Mukhina | H2H |
| Ekaterina Reyngold | H2H |
| Maria Shusharina | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 2019 | 1/1 | 0/0 | 1/1 | 0/0 | 0/0 |
| 2018 | 1/2 | 0/0 | 1/2 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Frech Maia machine learning prediction
Begu Zhu machine learning prediction
Petruzelova Kareisova machine learning prediction
Helmi Krajicek machine learning prediction
Danilovic vs Todoni Tennis Betting Predictions
Korpatsch vs Miyazaki Tennis Betting Predictions
Osafune vs Bhandari Tennis Betting Predictions
Jabeur vs Uchijima Tennis Betting Predictions
AI Betting tips Kristina Voznyak Maria Teodorescu
AI Betting tips Qiang Wang Emma Navarro
AI Betting tips Morgan Jordaan Jessica Marmorstein
AI Betting tips Cristina Elena Tiglea Angelica Raggi
| ATP Rankings | |||
|---|---|---|---|
| 1 |  | Jannik Sinner | 9890 PTS |
| 2 |  | Novak Djokovic | 8360 PTS |
| 3 |  | Carlos Alcaraz | 8130 PTS |
| 4 |  | Alexander Zverev | 6905 PTS |
| 5 | | Daniil Medvedev | 6445 PTS |
| 6 | | Andrey Rublev | 4420 PTS |
| 7 |  | Hubert Hurkacz | 4235 PTS |
| 8 |  | Casper Ruud | 4025 PTS |
| 9 |  | Alex De Minaur | 3830 PTS |
| 10 |  | Grigor Dimitrov | 3750 PTS |
| Tennis Events This Week | |||
|---|---|---|---|
 | Wimbledon - London Great Britain | ||
 | Bloomfield Hills Challenger United States | ||
 | Brasov Challenger Romania | ||
| Karlsruhe Challenger Germany | ||
| Modena Challenger Italy | ||
 | Troyes Challenger France | ||
 | M15 Hillcrest South Africa | ||
 | M15 Nakhon Si Thammarat Thailand | ||
If you are looking to predict tennis or soccer matches, Matchstat.com has you covered! We have league, player and team stats, and specialise in detailed h2h stats between tennis players or soccer teams.
All our predictions are based on machine learning and AI. Matchstat is designed to help you in your analysis and predictions but the responsibility for your final predictions are your own.
It's good to talk... Get in touch with us [email protected]
