Site data updated: 2026-05-28 18:14 UTC
Rafael Nadal def. Marin Cilic
7-5 7-6(3)
Match Information
| Date | Oct 14, 2017* |
|---|---|
| Tournament | Shanghai Masters |
| Category | Masters 1000 |
| Surface | Hard |
| Round | SF |
| Winner | Rafael Nadal |
| Score | 7-5 7-6(3) |
| Loser | Marin Cilic |
| Duration | 2h 11m |
| Stat | Rafael Nadal | Marin Cilic |
|---|---|---|
| Aces | 4 | 13 |
| Double faults | 2 | 2 |
| First serve % | 72 | 66 |
| First serve points won % | 77 | 64 |
| Second serve points won % | 60 | 45 |
| Break points saved % | 60 | 75 |
| Break points converted % | 25 | 40 |
| Service points won % | 72 | 58 |
| Return points won % | 42 | 28 |
| Total points won % | 55 | 45 |
Pre-match Comparison
| Field | Rafael Nadal | Marin Cilic |
|---|---|---|
| Country | ESP | CRO |
| Birth date | Jun 3, 1986 | Sep 28, 1988 |
| Age | 31 | 29 |
| Height | 185 | 198 |
| Handedness | Left-Handed | Right-Handed |
| Backhand style | Two-Handed Backhand | Two-Handed Backhand |
| Ranking (entering) | 1 | 5 |
| Ranking points (entering) | 9,875 | 4,155 |
| Elo (entering) | 2,339 | 2,118 |
| Career W-L | 1,045–225 | 572–344 |
| Career earnings | $134,946,100 | $33,355,926 |
Path
Rafael Nadal's path
| Date | Round | Opponent | Score | W/L | H2H | Match data |
|---|---|---|---|---|---|---|
| Oct 14, 2017 | QF | Grigor Dimitrov | 6-4 6-7(4) 6-3 | W | H2H | Match data |
| Oct 13, 2017 | R16 | Fabio Fognini | 6-3 6-1 | W | H2H | Match data |
| Oct 11, 2017 | R32 | Jared Donaldson | 6-2 6-1 | W | H2H | Match data |
Rafael Nadal's next match
| Date | Round | Opponent | Score | W/L | H2H | Match data |
|---|---|---|---|---|---|---|
| Oct 15, 2017 | F | Roger Federer | 4-6 3-6 | L | H2H | Match data |
Marin Cilic's path
| Date | Round | Opponent | Score | W/L | H2H | Match data |
|---|---|---|---|---|---|---|
| Oct 14, 2017 | QF | Albert Ramos-Vinolas | 6-3 6-4 | W | H2H | Match data |
| Oct 13, 2017 | R16 | Steve Johnson | 7-6(1) 6-4 | W | H2H | Match data |
| Oct 11, 2017 | R32 | Kyle Edmund | 6-3 7-6(5) | W | H2H | Match data |