Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Ivona Matulikova
Stats
| Current Rank | Ret. |
| Best Rank | 496 (30 Jul 1990) |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 75(02 Feb 1949) |
| Country |  Germany |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Hard |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 39.1% | 9 / 14 |
| Hard | 20.0% | 1 / 4 |
| Clay | 44.4% | 8 / 10 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 4th Round | 28.6% | 2 / 5 |
| 3rd Round | 58.3% | 7 / 5 |
| Q2 round | 0.0% | 0 / 2 |
| Q1 round | 33.3% | 1 / 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 | 40.0% | 10 / 15 |
| 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 | |||
 ITF Bamberg 31 Dec 90 | |||||
| R4 | 6-4 7-6 | H2H | |||
| R3 | 6-2 7-5 | H2H | |||
 Athens 09 Sep 90 | |||||
| Q1 | 6-1 6-3 | H2H | |||
| ITF Koksijde 19 Aug 90 | |||||
| R3 | 6-1 6-2 | H2H | |||
| ITF Roanoke 29 Jul 90 | |||||
| R3 | 6-2 6-4 | H2H | |||
| ITF Evansville 22 Jul 90 | |||||
| Q1 | 6-4 7-5 | H2H | |||
| ITF Greensboro 15 Jul 90 | |||||
| R3 | 7-5 5-0 RET | H2H | |||
| R4 | 6-2 6-3 | H2H | |||
| 6-3 6-1 | H2H | ||||
| ITF Fayettevile 08 Jul 90 | |||||
| R3 | 6-4 6-0 | H2H | |||
| ITF Caltagiro 24 Jun 90 | |||||
| Q2 | 6-3 6-2 | H2H | |||
| ITF Wels 1 25 Feb 90 | |||||
| Q1 | 6-3 6-4 | H2H | |||
| Q2 | 6-3 7-6 | H2H | |||
| ITF Stavanger 04 Feb 90 | |||||
| R3 | 6-7 7-6 1-0 RET | H2H | |||
| ITF Danderyd 28 Jan 90 | |||||
| R4 | 7-5 6-3 | H2H | |||
| R3 | 7-6 6-4 | H2H | |||
| ITF Fez 05 Nov 89 | |||||
| R4 | 3-6 6-2 6-3 | H2H | |||
| R3 | 6-1 1-6 6-0 | H2H | |||
| ITF Meknes 29 Oct 89 | |||||
| R3 | 6-4 6-2 | H2H | |||
| ITF Agliana 03 Sep 89 | |||||
| R3 | 6-4 0-6 5-1 RET | H2H | |||
Ivona Matulikova interesting Heads to Heads
| Caroline Dhenin | H2H |
| Rachel Viollet | H2H |
| Sandra Begijn | H2H |
| Melissa Brown | H2H |
| Ana Maria Segura Perez | H2H |
| Natalie Tschan | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 1990 | 5/11 | 1/4 | 3/5 | 1/2 | 0/0 |
| 1989 | 5/5 | 0/0 | 5/5 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Plipuech Prasutnawin machine learning prediction
Munteanu Anghel machine learning prediction
Barbulescu Todoni machine learning prediction
Rybakina Ruse machine learning prediction
Abe vs Choi Tennis Betting Predictions
Lee vs Ibragimova Tennis Betting Predictions
Mandelikova vs Mrazikova Tennis Betting Predictions
Dmitruk vs Schmidt Tennis Betting Predictions
AI Betting tips Leonie Kung Julieta Estable
AI Betting tips Annelin Bakker Natalia Szabanin
AI Betting tips Tina Nadine Smith Stephanie Wagner
AI Betting tips Haine Ogata Nagomi Higashitani
| 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 Belem Brazil | ||
| M15 Kursumlijska Banja Serbia | ||
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]
