Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Martini Pospisilova
Stats
| Current Rank | Ret. |
| Best Rank | 634 (09 Sep 1996) |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 45(13 Aug 1978) |
| Country |  Czech Republic |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Clay 13% |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 26.7% | 4 / 11 |
| Hard | 0.0% | 0 / 1 |
| Clay | 28.6% | 4 / 10 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 4th Round | 33.3% | 1 / 2 |
| 3rd Round | 27.3% | 3 / 8 |
| QF | 0.0% | 0 / 1 |
| Q2 round | 100.0% | 1 / 0 |
| Q1 round | 100.0% | 1 / 0 |
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% | 5 / 5 |
| 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 | |||
| Sibenik 10K 22 Sep 96 | |||||
| R3 | 3-6 7-6 6-1 | H2H | |||
| Valasske Mezirici 10K 18 Aug 96 | |||||
| R3 | 6-2 6-2 | H2H | |||
| Fiumicino 10K 14 Jul 96 | |||||
| R3 | 6-3 6-2 | H2H | |||
| Stare Splavy 10K 16 Jun 96 | |||||
| R3 | 6-1 6-4 | H2H | |||
| Presov 10K 12 May 96 | |||||
| R3 | 6-3 7-5 | H2H | |||
| Mallorca 10K 05 Feb 96 | |||||
| R4 | 6-2 6-3 | H2H | |||
| R3 | 4-6 6-0 7-6 | H2H | |||
| Mallorca 10K 29 Jan 96 | |||||
| R3 | 6-4 6-3 | H2H | |||
 ITF Salzburg 2 26 Nov 95 | |||||
| 6-1 6-0 | H2H | ||||
| R3 | 6-2 1-6 6-1 | H2H | |||
| R4 | 2-6 7-6(6) 7-5 | H2H | |||
 ITF Joue-Les-Tours 15 Oct 95 | |||||
| R3 | 6-1 6-4 | H2H | |||
| ITF Karlovy Vary 10 Sep 95 | |||||
| Q2 | 6-3 6-3 | H2H | |||
| R4 | 6-1 6-0 | H2H | |||
| Q1 | 6-2 6-2 | H2H | |||
| R3 | 6-0 7-5 | H2H | |||
| QF | 6-0 6-1 | H2H | |||
| ITF Olsztyn 09 Jul 95 | |||||
| R3 | 2-6 6-3 6-0 | H2H | |||
Martini Pospisilova interesting Heads to Heads
| Anastasia Myskina | H2H |
| Pavlina Bartunkova | H2H |
| Zuzana Nemsakova | H2H |
| Laura Frias | H2H |
| Elisa Penalvo | H2H |
| Aurea Castella | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 1996 | 1/7 | 0/0 | 1/7 | 0/0 | 0/0 |
| 1995 | 5/5 | 0/1 | 3/3 | 2/1 | 0/0 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Lys Burel machine learning prediction
Palazon Inisan machine learning prediction
Kalinina Avanesyan machine learning prediction
Serrano Davis machine learning prediction
Kostyuk vs Sramkova Tennis Betting Predictions
Herrmann vs Schwarz Tennis Betting Predictions
Paolini vs Tormo Tennis Betting Predictions
Shan vs Wang Tennis Betting Predictions
AI Betting tips Asma Ben Abdallah Esther Adeshina
AI Betting tips Tamara Sramkova Klara Vaja
AI Betting tips Victoria Borodulina Anna Lanciaprima
AI Betting tips Lidia Encheva Cristiana Nicoleta Todoni
| 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]
