Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Natasha Yonan
Stats
| Current Rank | - |
| Best Rank | - |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 32(08 Jun 1992) |
| Country |  United States |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Hard |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 0.0% | 0 / 4 |
| Hard | 0.0% | 0 / 2 |
| Clay | 0.0% | 0 / 2 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 1st Round | 0.0% | 0 / 1 |
| QF | 0.0% | 0 / 1 |
| Q1 round | 0.0% | 0 / 2 |
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 | 0.0% | 0 / 0 |
| Futures | 0.0% | 0 / 4 |
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 | |||
 Cairo 29 Jan 17 | |||||
| R1 |  Stats | 6-0 6-0 | H2H | ||
| Cairo 22 Jan 17 | |||||
| QF | 6-1 6-1 | H2H | |||
| Sharm El Sheikh 17 Jul 16 | |||||
| Q1 | 6-1 6-0 | H2H | |||
| Sharm El Sheikh 10 Jul 16 | |||||
| Q1 | 6-0 6-0 | H2H | |||
Match Stats
Service Stats
| Aces per Game | 0.17 | 1 / 6 |
| DFs per Game | 1.00 | 6 / 6 |
| 1st Serve % | 55.2% | 16 / 29 |
| 1st Serve Win% | 18.8% | 3 / 16 |
| 2nd Serve Win% | 15.4% | 2 / 13 |
| Serve Pts Win% | 17.2% | 5 / 29 |
Return Stats
| Opp Aces per Game | 0.33 | 2 / 6 |
| Opp DFs per Game | 0.17 | 1 / 6 |
| Opp 1st Serve % | 57.6% | 19 / 33 |
| 1st Rtn Win% | 10.5% | 2 / 19 |
| 2nd Rtn Win% | 35.7% | 5 / 14 |
| Rtn Pts Win% | 21.2% | 7 / 33 |
Break Points (Serve)
| BPs Saved per game | 0.17 | 1 / 6 |
| BPs Faced per game | 1.17 | 7 / 6 |
| BP Save % | 14.3% | 1 / 7 |
| Service Hold % | 0.0% | 0 / 6 |
Break Points (Rtn)
| BPs Won per game | 0.00 | 0 / 6 |
| BPs Opps per game | 0.17 | 1 / 6 |
| BP Won % | 0.0% | 0 / 1 |
| Opp Hold % | 100.0% | 6 / 6 |
Natasha Yonan interesting Heads to Heads
| Risa Hasegawa | H2H |
| Ayaka Okuno | H2H |
| Rikeetha Pereira | H2H |
| Rowan Arafat | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 2017 | 0/2 | 0/0 | 0/2 | 0/0 | 0/0 |
| 2016 | 0/2 | 0/2 | 0/0 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Finals
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Vekic Niemeier machine learning prediction
Lamens Hibino machine learning prediction
Ahn Daavettila machine learning prediction
Kalieva Abbagnato machine learning prediction
Hovde vs Jorge Tennis Betting Predictions
Lepchenko vs Ruggeri Tennis Betting Predictions
Putintseva vs Burel Tennis Betting Predictions
Christie vs Uchijima Tennis Betting Predictions
AI Betting tips Katarina Kozarov Emina Bektas
AI Betting tips Amelia Rajecki Katie Volynets
AI Betting tips Yue Yuan Sloane Stephens
AI Betting tips Ana Bogdan Linda Fruhvirtova
| ATP Rankings | |||
|---|---|---|---|
| 1 |  | Jannik Sinner | 9525 PTS |
| 2 |  | Carlos Alcaraz | 8580 PTS |
| 3 |  | Novak Djokovic | 8360 PTS |
| 4 |  | Alexander Zverev | 6885 PTS |
| 5 |  | Daniil Medvedev | 6485 PTS |
| 6 | | Andrey Rublev | 4710 PTS |
| 7 |  | Casper Ruud | 4025 PTS |
| 8 |  | Hubert Hurkacz | 3995 PTS |
| 9 |  | Alex De Minaur | 3845 PTS |
| 10 |  | Grigor Dimitrov | 3775 PTS |
| Tennis Events This Week | |||
|---|---|---|---|
| Boss Open - Stuttgart Germany | ||
 | cinch Championships - London Great Britain | ||
 | Libema Open - 's-Hertogenbosch Netherlands | ||
| Terra Wortmann Open - Halle Germany | ||
 | Bratislava 1 Challenger Slovakia | ||
| Ilkley Challenger Great Britain | ||
 | Lima 1 Challenger Peru | ||
| Perugia Challenger Italy | ||
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]
