Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Toa Maeda
Stats
| Current Rank | - |
| Best Rank | - |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 17(05 Sep 2006) |
| Country |  Japan |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Hard |
| Coach | |
| Turned Pro | |
| Player Status | Active |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 40.0% | 2 / 3 |
| Hard | 40.0% | 2 / 3 |
| Clay | 0.0% | 0 / 0 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 1st Round | 0.0% | 0 / 3 |
| QF | 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 | 0.0% | 0 / 0 |
| Futures | 40.0% | 2 / 3 |
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 | |||
| M15 Yanagawa 24 Dec 23 | |||||
| R1 |  Stats | 7-6(7) 6-3 | H2H | ||
| QF | 6-3 7-6(6) | H2H | |||
| Q1 | 6-3 6-0 | H2H | |||
| M25 Takasaki 17 Sep 23 | |||||
| R1 | Stats | 6-3 6-0 | H2H | ||
| M25 Sapporo 10 Sep 23 | |||||
| R1 | Stats | 6-0 6-3 | H2H | ||
Match Stats
Service Stats
| Aces per Game | 0.04 | 1 / 26 |
| DFs per Game | 0.15 | 4 / 26 |
| 1st Serve % | 56.3% | 89 / 158 |
| 1st Serve Win% | 48.3% | 43 / 89 |
| 2nd Serve Win% | 43.5% | 30 / 69 |
| Serve Pts Win% | 46.2% | 73 / 158 |
Return Stats
| Opp Aces per Game | 0.42 | 11 / 26 |
| Opp DFs per Game | 0.15 | 4 / 26 |
| Opp 1st Serve % | 61.3% | 100 / 163 |
| 1st Rtn Win% | 27.0% | 27 / 100 |
| 2nd Rtn Win% | 47.6% | 30 / 63 |
| Rtn Pts Win% | 35.0% | 57 / 163 |
Break Points (Serve)
| BPs Saved per game | 0.38 | 10 / 26 |
| BPs Faced per game | 0.96 | 25 / 26 |
| BP Save % | 40.0% | 10 / 25 |
| Service Hold % | 42.3% | 11 / 26 |
Break Points (Rtn)
| BPs Won per game | 0.15 | 4 / 26 |
| BPs Opps per game | 0.54 | 14 / 26 |
| BP Won % | 28.6% | 4 / 14 |
| Opp Hold % | 84.6% | 22 / 26 |
Toa Maeda interesting Heads to Heads
| Tatsuma Ito | H2H |
| Jumpei Yamasaki | H2H |
| Hanyi Liu | H2H |
| Sota Tani | H2H |
| Radu Ioan Popa | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 2023 | 2/3 | 2/3 | 0/0 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Finals
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Ligniere Schifris machine learning prediction
Jeong Leong machine learning prediction
Moller Hjorth machine learning prediction
Yamanaka Cheng machine learning prediction
Kim vs Langmo Tennis Betting Predictions
Sheyngezikht vs Prat Tennis Betting Predictions
Rocha vs Ross Tennis Betting Predictions
Zekic vs Cungu Tennis Betting Predictions
AI Betting tips Micah Braswell Alex Kobelt
AI Betting tips Viktor Durasovic Buvaysar Gadamauri
AI Betting tips Eric David Verdes Dusan Baranec
AI Betting tips Eliot Spizzirri Andres Andrade
| ATP Rankings | |||
|---|---|---|---|
| 1 |  | Jannik Sinner | 9525 PTS |
| 2 |  | Carlos Alcaraz | 8580 PTS |
| 3 |  | Novak Djokovic | 8360 PTS |
| 4 |  | Alexander Zverev | 6885 PTS |
| 5 |  | Daniil Medvedev | 6485 PTS |
| 6 | | Andrey Rublev | 4710 PTS |
| 7 |  | Casper Ruud | 4025 PTS |
| 8 |  | Hubert Hurkacz | 3995 PTS |
| 9 |  | Alex De Minaur | 3845 PTS |
| 10 |  | Grigor Dimitrov | 3775 PTS |
| Tennis Events This Week | |||
|---|---|---|---|
| Boss Open - Stuttgart Germany | ||
 | Libema Open - 's-Hertogenbosch Netherlands | ||
 | Bratislava 1 Challenger Slovakia | ||
 | Lima 1 Challenger Peru | ||
 | Lyon Challenger France | ||
 | Nottingham 2 Challenger Great Britain | ||
| Perugia Challenger Italy | ||
 | M15 Anseong Korea, Rep. | ||
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]
