H2H data updated: 2026-07-18 02:15 UTC
Marin Cilic vs Stan Wawrinka H2H: 2-13
Stan Wawrinka holds a 13–2 lead over Marin Cilic in their ATP head-to-head. Across 15 main-draw meetings, Stan Wawrinka leads 7–2 on hard courts and 6–0 on clay. Most recently, Stan Wawrinka won the 2019 Paris Masters third round 7-6(3) 7-6(5).
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Croatia
Age 37
Right-Handed
198 cm / 6'6"
H2H
2
–
13
15 main draw meetings
Switzerland
Age 41
Right-Handed
183 cm / 6'0"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Oct 31, 2019* | Paris Masters | Masters 1000 | R32 | Hard | Stan Wawrinka | 7-6(3) 7-6(5) | Marin Cilic | Match data |
| Jun 8, 2017* | Roland Garros | Grand Slam | QF | Clay | Stan Wawrinka | 6-3 6-3 6-1 | Marin Cilic | Match data |
| Nov 14, 2016 | Tour Finals | ATP Finals | RR | Hard | Stan Wawrinka | 7-6(3) 7-6(3) | Marin Cilic | Match data |
| May 21, 2016* | Geneva | ATP 250 | F | Clay | Stan Wawrinka | 6-4 7-6(11) | Marin Cilic | Match data |
| Oct 16, 2015* | Shanghai Masters | Masters 1000 | R16 | Hard | Stan Wawrinka | 7-5 6-7(7) 6-4 | Marin Cilic | Match data |
| Nov 9, 2014 | Tour Finals | ATP Finals | RR | Hard | Stan Wawrinka | 6-3 4-6 6-3 | Marin Cilic | Match data |
| Aug 15, 2014* | Cincinnati Masters | Masters 1000 | R16 | Hard | Stan Wawrinka | 3-6 6-0 6-1 | Marin Cilic | Match data |
| Apr 16, 2014* | Monte Carlo Masters | Masters 1000 | R32 | Clay | Stan Wawrinka | 6-0 6-2 | Marin Cilic | Match data |
| Mar 15, 2011* | Indian Wells Masters | Masters 1000 | R32 | Hard | Stan Wawrinka | 7-5 6-3 | Marin Cilic | Match data |
| Jan 24, 2010* | Australian Open | Grand Slam | R32 | Hard | Marin Cilic | 4-6 6-4 6-3 6-3 | Stan Wawrinka | Match data |
| Jan 10, 2010* | Chennai | ATP 250 | F | Hard | Marin Cilic | 7-6(2) 7-6(3) | Stan Wawrinka | Match data |
| May 29, 2008* | Roland Garros | Grand Slam | R64 | Clay | Stan Wawrinka | 7-6(3) 7-6(4) 6-1 | Marin Cilic | Match data |
| Jul 20, 2007* | Stuttgart | ATP 250 | R16 | Clay | Stan Wawrinka | 6-4 6-1 | Marin Cilic | Match data |
| Oct 12, 2006* | Vienna | ATP 250 | R32 | Hard | Stan Wawrinka | 6-4 6-1 | Marin Cilic | Match data |
| Jul 28, 2006* | Umag | ATP 250 | R16 | Clay | Stan Wawrinka | 6-4 2-6 6-4 | Marin Cilic | Match data |
* Estimated match date where the exact historical date is unavailable.
Career Comparison
| Player | Current | Peak | Pts | Elo | W | L | Win % | GS | 1000 | Finals | 500 | 250 | Titles |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Marin Cilic | #88 | #3 | 5,155 | 2,195 | 572 | 344 | 62.4% | 1 | 1 | 0 | 2 | 17 | 21 |
| Stan Wawrinka | #117 | #3 | 6,865 | 2,268 | 564 | 371 | 60.3% | 3 | 1 | 0 | 3 | 9 | 16 |
Career Progression by Age
Seasons are aligned by the age each player spent most of that calendar year. GS and Titles are cumulative career totals through that season.
| Age | Marin Cilic | Stan Wawrinka | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 16 | 2005 | 0–1 | 0.0% | #587 | 1,486 | 0 | 0 | — | — | — | — | — | — | — |
| 17 | 2006 | 5–9 | 35.7% | #170 | 1,499 | 0 | 0 | — | — | — | — | — | — | — |
| 18 | 2007 | 12–12 | 50.0% | #71 | 1,714 | 0 | 0 | 2003 | 2–4 | 33.3% | #171 | 1,483 | 0 | 0 |
| 19 | 2008 | 36–23 | 61.0% | #23 | 1,904 | 0 | 1 | 2004 | 0–6 | 0.0% | #168 | 1,421 | 0 | 0 |
| 20 | 2009 | 45–20 | 69.2% | #14 | 1,989 | 0 | 3 | 2005 | 14–14 | 50.0% | #54 | 1,632 | 0 | 0 |
| 21 | 2010 | 38–21 | 64.4% | #14 | 1,854 | 0 | 5 | 2006 | 31–23 | 57.4% | #30 | 1,867 | 0 | 1 |
| 22 | 2011 | 40–23 | 63.5% | #21 | 1,963 | 0 | 6 | 2007 | 21–22 | 48.8% | #36 | 1,865 | 0 | 1 |
| 23 | 2012 | 37–17 | 68.5% | #15 | 2,009 | 0 | 8 | 2008 | 33–20 | 62.3% | #13 | 1,860 | 0 | 1 |
| 24 | 2013 | 24–13 | 64.9% | #37 | 1,964 | 0 | 9 | 2009 | 29–19 | 60.4% | #21 | 1,875 | 0 | 1 |
| 25 | 2014 | 51–21 | 70.8% | #9 | 2,127 | 1 | 13 | 2010 | 35–17 | 67.3% | #21 | 1,991 | 0 | 2 |
| 26 | 2015 | 35–19 | 64.8% | #13 | 2,061 | 1 | 14 | 2011 | 33–19 | 63.5% | #17 | 1,915 | 0 | 3 |
| 27 | 2016 | 42–20 | 67.7% | #6 | 2,133 | 1 | 16 | 2012 | 34–18 | 65.4% | #17 | 2,018 | 0 | 3 |
| 28 | 2017 | 43–22 | 66.2% | #6 | 2,055 | 1 | 17 | 2013 | 49–23 | 68.1% | #8 | 2,113 | 0 | 4 |
| 29 | 2018 | 40–19 | 67.8% | #7 | 2,056 | 1 | 18 | 2014 | 38–16 | 70.4% | #4 | 2,071 | 1 | 7 |
| 30 | 2019 | 22–20 | 52.4% | #39 | 1,911 | 1 | 18 | 2015 | 54–19 | 74.0% | #4 | 2,199 | 2 | 11 |
| 31 | 2020 | 11–11 | 50.0% | #42 | 1,850 | 1 | 18 | 2016 | 46–18 | 71.9% | #4 | 2,129 | 3 | 15 |
| 32 | 2021 | 31–18 | 63.3% | #30 | 1,933 | 1 | 20 | 2017 | 26–11 | 70.3% | #9 | 2,120 | 3 | 16 |
| 33 | 2022 | 32–20 | 61.5% | #17 | 1,958 | 1 | 20 | 2018 | 17–17 | 50.0% | #66 | 1,946 | 3 | 16 |
| 34 | 2023 | 1–2 | 33.3% | #672 | 1,912 | 1 | 20 | 2019 | 33–20 | 62.3% | #16 | 2,021 | 3 | 16 |
| 35 | 2024 | 6–8 | 42.9% | #179 | 1,816 | 1 | 21 | 2020 | 15–8 | 65.2% | #18 | 2,001 | 3 | 16 |
| 36 | 2025 | 8–11 | 42.1% | #73 | 1,819 | 1 | 21 | 2021 | 3–4 | 42.9% | #82 | 1,916 | 3 | 16 |
| 37 | 2026 | 13–14 | 48.1% | #88 | 1,758 | 1 | 21 | 2022 | 8–14 | 36.4% | #148 | 1,824 | 3 | 16 |
| 38 | — | — | — | — | — | — | — | 2023 | 24–20 | 54.5% | #49 | 1,782 | 3 | 16 |
| 39 | — | — | — | — | — | — | — | 2024 | 9–16 | 36.0% | #161 | 1,714 | 3 | 16 |
| 40 | — | — | — | — | — | — | — | 2025 | 4–13 | 23.5% | #157 | 1,640 | 3 | 16 |
| 41 | — | — | — | — | — | — | — | 2026 | 6–10 | 37.5% | #117 | 1,632 | 3 | 16 |