Predictions
Matches
Calendar
H2H
Rankings
Picks Blog- EU ODDS (1.50)UK ODDS (1/2)US ODDS (-200)
Profile
Daniel Hammond
Stats
| Current Rank | - |
| Best Rank | - |
| Titles |  |
| Grand Slams | 0 |
| Main Tour | 0 |
| Masters | 0 |
| Tour Finals | 0 |
| Challengers | 0 |
| Futures | 0 |
Recent Form
| Age | 20(03 Mar 2004) |
| Country |  New Zealand |
| Birthplace | |
| Height | |
| Weight | |
| Plays | |
| Backhand | |
| Favorite Surface |  Hard |
| Coach | |
| Turned Pro | |
| Player Status | Active |
Upcoming Match
Performance Breakdown
Surface Breakdown
W/L
| Overall | 60.0% | 3 / 2 |
| Hard | 60.0% | 3 / 2 |
| Clay | 0.0% | 0 / 0 |
| Indoor | 0.0% | 0 / 0 |
| Grass | 0.0% | 0 / 0 |
Round Breakdown
W/L
| 1st Round | 0.0% | 0 / 1 |
| QF | 100.0% | 1 / 0 |
| Q2 round | 100.0% | 1 / 0 |
| Q1 round | 50.0% | 1 / 1 |
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 | 60.0% | 3 / 2 |
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 Papamoa 17 Dec 23 | |||||
| QF |  Stats | 7-5 4-1 ret. | H2H | ||
| R1 | WC | Stats | 6-4 6-4 | H2H | |
| Q1 | 6-3 6-0 | H2H | |||
| Q2 | Stats | 6-3 6-2 | H2H | ||
| M15 Wellington 10 Dec 23 | |||||
| Q1 | 6-4 4-6 11-9 | H2H | |||
Match Stats
Service Stats
| Aces per Game | 0.04 | 1 / 27 |
| DFs per Game | 0.41 | 11 / 27 |
| 1st Serve % | 64.0% | 105 / 164 |
| 1st Serve Win% | 66.7% | 70 / 105 |
| 2nd Serve Win% | 54.2% | 32 / 59 |
| Serve Pts Win% | 62.2% | 102 / 164 |
Return Stats
| Opp Aces per Game | 0.22 | 6 / 27 |
| Opp DFs per Game | 0.56 | 15 / 27 |
| Opp 1st Serve % | 63.1% | 113 / 179 |
| 1st Rtn Win% | 35.4% | 40 / 113 |
| 2nd Rtn Win% | 59.1% | 39 / 66 |
| Rtn Pts Win% | 44.1% | 79 / 179 |
Break Points (Serve)
| BPs Saved per game | 0.41 | 11 / 27 |
| BPs Faced per game | 0.63 | 17 / 27 |
| BP Save % | 64.7% | 11 / 17 |
| Service Hold % | 77.8% | 21 / 27 |
Break Points (Rtn)
| BPs Won per game | 0.37 | 10 / 27 |
| BPs Opps per game | 0.78 | 21 / 27 |
| BP Won % | 47.6% | 10 / 21 |
| Opp Hold % | 63.0% | 17 / 27 |
Daniel Hammond interesting Heads to Heads
| Cade Birrell | H2H |
| Reece Falck | H2H |
| Gillian Osmont | H2H |
| Hudson Baxter | H2H |
| Finley Hall | H2H |
Surface Summary
| year | sum. | hard | clay | i.hard | grass |
| 2023 | 3/2 | 3/2 | 0/0 | 0/0 | 0/0 |
Singles Titles/Finals 
Titles
No Finals
Finals
No Finals
Today's H2H Tennis Betting Tips & Predictions
Arnaldi Tsitsipas machine learning prediction
Otegui Caruso machine learning prediction
Madarasz Cerny machine learning prediction
Luis Moratalla machine learning prediction
Machac vs Medvedev Tennis Betting Predictions
Cerundolo vs Paul Tennis Betting Predictions
Ferrari vs Boitan Tennis Betting Predictions
Ouden vs Kravchenko Tennis Betting Predictions
AI Betting tips Cyril Vandermeersch Adit Sinha
AI Betting tips Tomas Martin Etcheverry Casper Ruud
AI Betting tips Valentin Royer Eliakim Coulibaly
AI Betting tips Jay Clarke Marat Sharipov (RUS)
| ATP Rankings | |||
|---|---|---|---|
| 1 |  | Novak Djokovic | 9960 PTS |
| 2 |  | Jannik Sinner | 8770 PTS |
| 3 |  | Carlos Alcaraz | 7300 PTS |
| 4 |  | Alexander Zverev | 6305 PTS |
| 5 |  | Daniil Medvedev | 6295 PTS |
| 6 | | Andrey Rublev | 4700 PTS |
| 7 |  | Casper Ruud | 4425 PTS |
| 8 |  | Hubert Hurkacz | 3885 PTS |
| 9 |  | Stefanos Tsitsipas | 3700 PTS |
| 10 |  | Grigor Dimitrov | 3555 PTS |
| Tennis Events This Week | |||
|---|---|---|---|
 | French Open - Paris France | ||
 | Little Rock Challenger United States | ||
| Vicenza Challenger Italy | ||
 | M15 Bol Croatia | ||
 | M15 Constanta Romania | ||
 | M15 Gyula Hungary | ||
 | M15 Karuizawa Japan | ||
| M15 Kursumlijska Banja Serbia | ||
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]
