Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Suvimol Duangchan
Stats
| Current Rank | Ret. |
| Best Rank | 346 (10 May 1993) |
| Titles | 4  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 4 |
| Futures | 0 |
Recent Form
| Age | 50(10 Apr 1974) |
| Country |  Thailand |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Hard 55% |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 53.7% | 65 / 56 |
| Hard | 54.8% | 46 / 38 |
| Clay | 51.9% | 14 / 13 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 50.0% | 5 / 5 |
Round Breakdown
W/L
| F | 50.0% | 4 / 4 |
| SF | 88.9% | 8 / 1 |
| 4th Round | 42.3% | 11 / 15 |
| 3rd Round | 53.7% | 22 / 19 |
| QF | 0.0% | 0 / 1 |
| Q2 round | 25.0% | 1 / 3 |
| Q1 round | 50.0% | 4 / 4 |
Tournament Level Breakdown
W/L
| Grand Slam | 0.0% | 0 / 0 |
| Masters | 0.0% | 0 / 0 |
| Main Tour | 0.0% | 0 / 0 |
| Cups | 52.9% | 9 / 8 |
| Challengers | 55.9% | 52 / 41 |
| 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 / 1 |
| Vs Top.100 | 0.0% | 0 / 3 |
| opponent | score | h2h | |||
| Manila 10K 03 Nov 96 | |||||
| R3 | 4-6 6-1 6-0 | H2H | |||
| Samutpakarn 10K 15 Sep 96 | |||||
| R4 | 6-4 6-2 | H2H | |||
| 6-4 5-7 6-2 | H2H | ||||
| SF | 6-2 6-0 | H2H | |||
| R3 | 6-2 6-4 | H2H | |||
| F | 7-5 6-4 | H2H | |||
| Bangkok 10K 08 Sep 96 | |||||
| R3 | 6-3 6-1 | H2H | |||
| R4 | 6-7 6-2 6-1 | H2H | |||
| 6-3 6-4 | H2H | ||||
| Pattaya 12 Nov 95 | |||||
| R3 | 7-5 6-3 | H2H | |||
| ITF Samutrakan 17 Sep 95 | |||||
| F | 6-0 6-0 | H2H | |||
| 1-6 6-3 6-1 | H2H | ||||
| R3 | 6-3 6-2 | H2H | |||
| R4 | 6-1 6-3 | H2H | |||
| SF | 2-6 6-1 6-1 | H2H | |||
| ITF Khon Kaen 10 Sep 95 | |||||
| 6-0 6-0 | H2H | ||||
| F | 6-2 6-1 | H2H | |||
| SF | 6-2 6-1 | H2H | |||
| R3 | 6-7(5) 6-4 6-1 | H2H | |||
| R4 | 6-0 6-0 | H2H | |||
Suvimol Duangchan interesting Heads to Heads
| Marissa Niroj | H2H |
| Lihini Weerasuriya | H2H |
| Irina Spirlea | H2H |
| Shi Ting Wang | H2H |
| Li Ling Chen | H2H |
| Yayuk Basuki | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 1996 | 6/3 | 6/3 | 0/0 | 0/0 | 0/0 |
| 1995 | 16/6 | 12/4 | 4/2 | 0/0 | 0/0 |
| 1994 | 7/7 | 5/4 | 2/1 | 0/0 | 0/2 |
| 1993 | 15/18 | 10/11 | 0/4 | 0/0 | 5/3 |
| 1992 | 14/13 | 7/8 | 7/5 | 0/0 | 0/0 |
| 1991 | 4/6 | 3/5 | 1/1 | 0/0 | 0/0 |
| 1990 | 3/3 | 3/3 | 0/0 | 0/0 | 0/0 |
Singles Titles/Finals
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Gadecki Sieg machine learning prediction
Collins Svitolina machine learning prediction
Wang Navarro machine learning prediction
Cavalle-Reimers Lys machine learning prediction
Kostyuk vs Sramkova Tennis Betting Predictions
Duerst vs Vecic Tennis Betting Predictions
Yastremska vs Podoroska Tennis Betting Predictions
Senic vs Evtimova Tennis Betting Predictions
AI Betting tips Lucia Bronzetti Leylah Annie Fernandez
AI Betting tips Amelia Honer Rachel Gailis
AI Betting tips Anja Stankovic Julia Stamatova
AI Betting tips Anne Christine Lutkemeyer Obregon Reese Brantmeier
| 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 | ||
| Mallorca Championships - Mallorca Spain | ||
| Rothesay International - Eastbourne Great Britain | ||
 | Ibague Challenger Colombia | ||
| Milan Challenger Italy | ||
| M15 Belgrade Serbia | ||
| M15 Kamen Germany | ||
 | M15 Los Angeles United States | ||
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]
