Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Naoko Kinoshita
Stats
| Current Rank | Ret. |
| Best Rank | 469 (11 Feb 1991) |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 58(03 Sep 1965) |
| Country |  Japan |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Hard |
| Coach | |
| Turned Pro | |
| Player Status | Inactive |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 47.2% | 17 / 19 |
| Hard | 50.0% | 16 / 16 |
| Clay | 0.0% | 0 / 0 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 25.0% | 1 / 3 |
Round Breakdown
W/L
| 4th Round | 33.3% | 2 / 4 |
| 3rd Round | 42.9% | 6 / 8 |
| QF | 40.0% | 2 / 3 |
| Q2 round | 71.4% | 5 / 2 |
| Q1 round | 40.0% | 2 / 3 |
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 | 47.2% | 17 / 19 |
| 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 | |||
| ITF Chiba 03 Nov 91 | |||||
| Q1 | 6-1 6-0 | H2H | |||
| Q2 | 6-1 6-1 | H2H | |||
| ITF Sekisho 29 Sep 91 | |||||
| R3 | 6-3 6-3 | H2H | |||
| ITF Kuroshio 22 Sep 91 | |||||
| R3 | 6-2 6-1 | H2H | |||
 Tokyo Pan Pacific 28 Jan 91 | |||||
| Q1 | 6-1 6-0 | H2H | |||
 ITF Saga 28 Oct 90 | |||||
| QF | 6-4 6-1 | H2H | |||
| Q2 | 6-1 4-6 6-4 | H2H | |||
| ITF Nagasaki 21 Oct 90 | |||||
| Q2 | 6-4 6-0 | H2H | |||
| QF | 6-3 7-6(3) | H2H | |||
| R3 | 6-4 6-0 | H2H | |||
| ITF Matsuyama 07 Oct 90 | |||||
| R4 | 7-6(0) 6-1 | H2H | |||
| R3 | 6-2 6-3 | H2H | |||
| ITF Sekisho 30 Sep 90 | |||||
| R4 | 6-3 6-3 | H2H | |||
| R3 | 6-0 6-0 | H2H | |||
| ITF Kuroshio 23 Sep 90 | |||||
| 6-3 6-1 | H2H | ||||
| R3 | 6-3 6-3 | H2H | |||
| R4 | 6-1 6-2 | H2H | |||
| ITF Chiba 16 Sep 90 | |||||
| R3 | 6-2 6-2 | H2H | |||
| QF | 6-1 3-1 RET | H2H | |||
| Q2 | 6-0 6-7(3) 6-4 | H2H | |||
Naoko Kinoshita interesting Heads to Heads
| Akemi Nishiya | H2H |
| Hiromi Nagano | H2H |
| Annika Narbe | H2H |
| Hiroko Hara | H2H |
| Suzanna Anggarkusuma | H2H |
| Pavlina Rajzlova | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 1991 | 1/4 | 1/3 | 0/0 | 0/1 | 0/0 |
| 1990 | 9/7 | 8/5 | 0/0 | 0/1 | 1/1 |
| 1989 | 1/6 | 1/4 | 0/0 | 0/1 | 0/1 |
| 1988 | 6/5 | 6/4 | 0/0 | 0/0 | 0/1 |
Singles Titles/Finals 
Titles
No Titles
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Jabeur Montgomery machine learning prediction
Boulter Gauff machine learning prediction
Kartal Gauff machine learning prediction
Boulter Dart machine learning prediction
Matoula vs Llorca Tennis Betting Predictions
Poduraeva vs Tanasie Tennis Betting Predictions
Cheapchadej vs Sato Tennis Betting Predictions
Wildgruber vs Koussenkova Tennis Betting Predictions
AI Betting tips Jasmine Paolini Greetje Minnen
AI Betting tips Jil Teichmann Elena Pridankina
AI Betting tips Nagomi Higashitani Lara Pfeifer
AI Betting tips Maria Mateas Tatiana Pieri
| 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 Belem Brazil | ||
 | 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]
