Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Christina Ferreira
Stats
| Current Rank | Ret. |
| Best Rank | 734 (15 Jul 1996) |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 48(22 Jun 1976) |
| Country |  Brazil |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Clay 50% |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 29.4% | 5 / 12 |
| Hard | 33.3% | 3 / 6 |
| Clay | 25.0% | 2 / 6 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 4th Round | 0.0% | 0 / 5 |
| 3rd Round | 50.0% | 5 / 5 |
| 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 | 18.2% | 2 / 9 |
| 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 | |||
| Sao Paulo 10K 14 Jul 96 | |||||
| R3 | 6-2 6-1 | H2H | |||
| R4 | 6-1 6-1 | H2H | |||
| Sao Paulo 10K 30 Jun 96 | |||||
| R3 | 6-1 6-0 | H2H | |||
| R4 | 6-1 6-2 | H2H | |||
 Mato Grosso Sul 10K 23 Jun 96 | |||||
| R4 | 6-2 6-3 | H2H | |||
| R3 | 6-2 7-5 | H2H | |||
| ITF Sao Paulo 5 10 Dec 95 | |||||
| R3 | 6-2 6-2 | H2H | |||
| ITF Sao Paulo 4 03 Dec 95 | |||||
| R3 | 6-7(6) 6-2 6-2 | H2H | |||
| ITF Sao Paulo 3 26 Nov 95 | |||||
| R3 | 6-2 6-0 | H2H | |||
| ITF Sao Paulo 2 19 Nov 95 | |||||
| R3 | 6-2 6-3 | H2H | |||
| R4 | 6-4 6-1 | H2H | |||
| ITF Sao Paulo 1 05 Nov 95 | |||||
| Q1 | 6-3 6-1 | H2H | |||
| ITF Brasilia 30 Jul 95 | |||||
| Q1 | 6-3 5-7 6-3 | H2H | |||
| ITF Salvador 23 Jul 95 | |||||
| R4 | 6-2 6-4 | H2H | |||
| R3 | 4-6 7-6(9) 6-0 | H2H | |||
| ITF Santos 16 Jul 95 | |||||
| R3 | 6-3 6-4 | H2H | |||
| ITF Sao Paulo 2 27 Nov 94 | |||||
| R3 | 7-6(4) 6-0 | H2H | |||
Christina Ferreira interesting Heads to Heads
| Gisele Ferreira | H2H |
| Claudia Oliveira | H2H |
| Luciana Barbosa | H2H |
| Fernanda Tsucamoto | H2H |
| Eugenia Maia | H2H |
| Vanessa Menga | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 1996 | 3/3 | 1/1 | 2/2 | 0/0 | 0/0 |
| 1995 | 2/8 | 2/4 | 0/4 | 0/0 | 0/0 |
| 1994 | 0/1 | 0/1 | 0/0 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Garcia Dartron machine learning prediction
Sherif Galfi machine learning prediction
Tubello Lene machine learning prediction
Trevisan Keys machine learning prediction
Panaino vs Youri Tennis Betting Predictions
Errani vs Noskova Tennis Betting Predictions
Xue vs Zhang Tennis Betting Predictions
Putintseva vs Kerber Tennis Betting Predictions
AI Betting tips Tamara Korpatsch Yuriko Miyazaki
AI Betting tips Berta Passola Allison Nicole Isaacs
AI Betting tips Michelle Dzjachangirova Vlada Katic
AI Betting tips Jessie Aney Lucie Pawlak
| 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 Alkmaar Netherlands | ||
| M15 Amstelveen Netherlands | ||
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]
