Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Oana Elena Golimbioschi
Stats
| Current Rank | Ret. |
| Best Rank | 617 (21 Oct 1996) |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 44(21 May 1980) |
| Country |  Romania |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Clay 41% |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 39.1% | 9 / 14 |
| Hard | 0.0% | 0 / 1 |
| Clay | 40.9% | 9 / 13 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 4th Round | 12.5% | 1 / 7 |
| 3rd Round | 57.1% | 8 / 6 |
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 | 40.0% | 2 / 3 |
| Futures | 0.0% | 0 / 0 |
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 10K 10 Nov 96 | |||||
| R4 | 6-3 6-3 | H2H | |||
| R3 | 6-4 3-6 6-0 | H2H | |||
| Nicosia 10K 06 Oct 96 | |||||
| R3 | 7-5 6-2 | H2H | |||
| R4 | 6-0 4-6 6-2 | H2H | |||
| Cluj 10K 15 Sep 96 | |||||
| R3 | 6-4 7-5 | H2H | |||
| Albena 10K 08 Sep 96 | |||||
| R3 | 7-6 6-4 | H2H | |||
| Catania 10K 18 Aug 96 | |||||
| R3 | 4-6 6-1 6-1 | H2H | |||
| R4 | 6-3 6-3 | H2H | |||
 Nicolosi 10K 11 Aug 96 | |||||
| R3 | 7-5 6-2 | H2H | |||
| Sezze 10K 30 Jun 96 | |||||
| R3 | 6-2 6-2 | H2H | |||
| R4 | 6-1 6-1 | H2H | |||
| Olsztyn 10K 19 May 96 | |||||
| R3 | 7-5 6-4 | H2H | |||
| Torun 10K 12 May 96 | |||||
| R3 | 6-2 6-2 | H2H | |||
| R4 | 5-7 6-3 6-3 | H2H | |||
| Bari 10K 22 Apr 96 | |||||
| R3 | 6-2 6-2 | H2H | |||
| R4 | 6-3 6-4 | H2H | |||
| 6-3 3-6 6-1 | H2H | ||||
| Makarska 10K 24 Mar 96 | |||||
| R3 | 6-3 6-4 | H2H | |||
| ITF Nicosia 29 Oct 95 | |||||
| R4 | 6-4 6-1 | H2H | |||
| R3 | 6-3 6-1 | H2H | |||
Oana Elena Golimbioschi interesting Heads to Heads
| Alina Wyganowska | H2H |
| Petra Plackova | H2H |
| Marielle Bruens | H2H |
| Yasmin Attia Abdalla | H2H |
| Jennifer Sans | H2H |
| Eva Krejcova | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 1996 | 7/11 | 0/1 | 7/10 | 0/0 | 0/0 |
| 1995 | 2/3 | 0/0 | 2/3 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Rybakina Ruse machine learning prediction
Palecek Kaur machine learning prediction
Collins Svitolina machine learning prediction
Alcaraz Garcia machine learning prediction
Gomez vs Vaquero Tennis Betting Predictions
Ajimi vs Lombardi Tennis Betting Predictions
Jordaan vs Marmorstein Tennis Betting Predictions
Golubic vs Niemeier Tennis Betting Predictions
AI Betting tips Qiang Wang Emma Navarro
AI Betting tips Dayana Yastremska Nadia Podoroska
AI Betting tips Katie Boulter Tatjana Maria
AI Betting tips Brenda Fruhvirtova Mirra Andreeva
| 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 Amstelveen Netherlands | ||
 | M15 Hillcrest South Africa | ||
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]
