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
| Pavlina Rajzlova | H2H |
| Atsuko Shintani | H2H |
| Trisha Laux | H2H |
| Emiko Takahashi | H2H |
| Shizuka Tokiwa | H2H |
| Fumiko Yamazaki | 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
Avdeeva Krajicek machine learning prediction
Noha Lene machine learning prediction
Miroshnichenko Chang machine learning prediction
Scott Yang machine learning prediction
Kozarov vs Bektas Tennis Betting Predictions
Snigireva vs Wang Tennis Betting Predictions
Mansouri vs Gordon Tennis Betting Predictions
Ounmuang vs Okamura Tennis Betting Predictions
AI Betting tips Katerina Mandelikova Alexandra Vasilyeva
AI Betting tips Donna Vekic Erika Andreeva
AI Betting tips Ksenia Laskutova Marilouise Van Zyl
AI Betting tips Jennifer Ruggeri Angelica Raggi
| 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 Amstelveen Netherlands | ||
 | M15 Belem Brazil | ||
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]
