Profile
Maximilian Scholl
Stats
| Current Rank | - |
| Best Rank | - |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 27(13 Mar 1997) |
| Country |  Germany |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  N/A |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 25.0% | 1 / 3 |
| Hard | 0.0% | 0 / 0 |
| Clay | 33.3% | 1 / 2 |
| Indoor | 0.0% | 0 / 1 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| Qualies Round 2 | 0.0% | 0 / 1 |
| Qualies Round 1 | 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 | 0.0% | 0 / 0 |
| Futures | 25.0% | 1 / 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 Bad Schussenried 21 Jul 19 | |||||
| Q1 | 6-3 6-4 | H2H | |||
| Germany F12 10 Aug 14 | |||||
| Q1 | 6-4 2-6 6-3 | H2H | |||
| Q2 | 6-4 6-1 | H2H | |||
 Germany F2 12 Jan 14 | |||||
| Q1 | 6-4 6-3 | H2H | |||
Match Stats
Service Stats
| Aces per Game | NaN | 0 / 0 |
| Double Faults Per Game | NaN | 0 / 0 |
| 1st Serve % | 0% | 0 / 0 |
| 1st Serve Win% | 0% | 0 / 0 |
| 2nd Serve Win% | 0% | 0 / 0 |
| Serve Points Win% | 0% | 0 / 0 |
Return Stats
| Opponent Aces / Game | NaN | 0 / 0 |
| Opponent Double Faults / Game | NaN | 0 / 0 |
| Opponent 1st Serve % | 0% | 0 / 0 |
| 1st Return Win % | 0% | 0 / 0 |
| 2nd Return Win % | 0% | 0 / 0 |
| Return Points Win% | 0% | 0 / 0 |
Break Points (Serve)
| Break Points Saved / Game | NaN | 0 / 0 |
| Break Points Faced / Game | NaN | 0 / 0 |
| Break Points Save % | 0% | 0 / 0 |
| Service Hold % | 0% | 0 / 0 |
Break Points (Return)
| Break Points Won / Game | NaN | 0 / 0 |
| Opponent Break Points / Game | NaN | 0 / 0 |
| Break Points Won % | 0% | 0 / 0 |
| Opponent Hold % | 0% | 0 / 0 |
Maximilian Scholl interesting Heads to Heads
| Marko Lenz | H2H |
| Moritz Dettinger | H2H |
| Gabriele Moghini | H2H |
| Sorin Rosca | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 2019 | 0/1 | 0/0 | 0/1 | 0/0 | 0/0 |
| 2014 | 1/2 | 0/0 | 1/1 | 0/1 | 0/0 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Kosseifi Schachter machine learning prediction
Chapuis Zhang machine learning prediction
Griekspoor Zandschulp machine learning prediction
Moriya Kubler machine learning prediction
Sanchez-Izquierdo vs Kuzuhara Tennis Betting Predictions
Leyva vs Arias Tennis Betting Predictions
Panaras vs Mohammed Tennis Betting Predictions
Royer vs Droguet Tennis Betting Predictions
AI Betting tips Illya Marchenko Thomas Braithwaite
AI Betting tips Raffael Schaer Yassine Khelif
AI Betting tips Tristan Mccormick Jaden Weekes
AI Betting tips Alexander Maggs Alexis Canter
| ATP Rankings | |||
|---|---|---|---|
| 1 |  | Jannik Sinner | 11830 PTS |
| 2 | | Alexander Zverev | 7635 PTS |
| 3 |  | Carlos Alcaraz | 7010 PTS |
| 4 |  | Taylor Fritz | 5350 PTS |
| 5 |  | Daniil Medvedev | 5030 PTS |
| 6 |  | Casper Ruud | 4210 PTS |
| 7 |  | Novak Djokovic | 3900 PTS |
| 8 |  | Alex De Minaur | 3535 PTS |
| 9 | | Andrey Rublev | 3520 PTS |
| 10 |  | Grigor Dimitrov | 3200 PTS |
| Tennis Events This Week | |||
|---|---|---|---|
 | Open Occitanie - Montpellier France | ||
| Brisbane 1 Challenger Australia | ||
| Cleveland Challenger United States | ||
| Koblenz Challenger Germany | ||
 | Piracicaba Challenger Brazil | ||
 | Punta Del Este Challenger Uruguay | ||
| Quimper Challenger France | ||
| M15+H Bagnoles de l'Orne France | ||
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]
