H2H data updated: 2026-07-18 02:15 UTC
Borna Coric vs Stan Wawrinka H2H: 1-3
Stan Wawrinka holds a 3–1 lead over Borna Coric in their ATP head-to-head. Across 4 main-draw meetings, Stan Wawrinka leads 3–1 on hard courts. Most recently, Borna Coric won the 2018 Shanghai Masters second round 4-6 6-4 6-3.
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Croatia
Age 29
Right-Handed
188 cm / 6'2"
H2H
1
–
3
4 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 9, 2018* | Shanghai Masters | Masters 1000 | R64 | Hard | Borna Coric | 4-6 6-4 6-3 | Stan Wawrinka | Match data |
| Jan 10, 2016* | Chennai | ATP 250 | F | Hard | Stan Wawrinka | 6-3 7-5 | Borna Coric | Match data |
| Aug 19, 2015* | Cincinnati Masters | Masters 1000 | R32 | Hard | Stan Wawrinka | 3-6 7-6(3) 6-3 | Borna Coric | Match data |
| Jan 9, 2015* | Chennai | ATP 250 | R16 | Hard | Stan Wawrinka | 6-1 6-4 | Borna Coric | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Borna Coric | #237 | #12 | 2,695 | 2,047 | 200 | 187 | 51.7% | 0 | 1 | 0 | 1 | 1 | 3 |
| 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 | Borna Coric | Stan Wawrinka | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 16 | 2013 | 0–1 | 0.0% | #303 | 1,495 | 0 | 0 | — | — | — | — | — | — | — |
| 17 | 2014 | 6–5 | 54.5% | #102 | 1,647 | 0 | 0 | — | — | — | — | — | — | — |
| 18 | 2015 | 24–27 | 47.1% | #44 | 1,824 | 0 | 0 | 2003 | 2–4 | 33.3% | #171 | 1,483 | 0 | 0 |
| 19 | 2016 | 21–20 | 51.2% | #48 | 1,866 | 0 | 0 | 2004 | 0–6 | 0.0% | #168 | 1,421 | 0 | 0 |
| 20 | 2017 | 21–25 | 45.7% | #48 | 1,803 | 0 | 1 | 2005 | 14–14 | 50.0% | #54 | 1,632 | 0 | 0 |
| 21 | 2018 | 35–19 | 64.8% | #12 | 2,014 | 0 | 2 | 2006 | 31–23 | 57.4% | #30 | 1,867 | 0 | 1 |
| 22 | 2019 | 27–22 | 55.1% | #28 | 1,814 | 0 | 2 | 2007 | 21–22 | 48.8% | #36 | 1,865 | 0 | 1 |
| 23 | 2020 | 15–10 | 60.0% | #24 | 1,883 | 0 | 2 | 2008 | 33–20 | 62.3% | #13 | 1,860 | 0 | 1 |
| 24 | 2021 | 6–3 | 66.7% | #73 | 1,891 | 0 | 2 | 2009 | 29–19 | 60.4% | #21 | 1,875 | 0 | 1 |
| 25 | 2022 | 16–12 | 57.1% | #26 | 1,931 | 0 | 3 | 2010 | 35–17 | 67.3% | #21 | 1,991 | 0 | 2 |
| 26 | 2023 | 18–18 | 50.0% | #37 | 1,789 | 0 | 3 | 2011 | 33–19 | 63.5% | #17 | 1,915 | 0 | 3 |
| 27 | 2024 | 11–18 | 37.9% | #90 | 1,650 | 0 | 3 | 2012 | 34–18 | 65.4% | #17 | 2,018 | 0 | 3 |
| 28 | 2025 | 0–7 | 0.0% | #115 | 1,574 | 0 | 3 | 2013 | 49–23 | 68.1% | #8 | 2,113 | 0 | 4 |
| 29 | — | — | — | — | — | — | — | 2014 | 38–16 | 70.4% | #4 | 2,071 | 1 | 7 |
| 30 | — | — | — | — | — | — | — | 2015 | 54–19 | 74.0% | #4 | 2,199 | 2 | 11 |
| 31 | — | — | — | — | — | — | — | 2016 | 46–18 | 71.9% | #4 | 2,129 | 3 | 15 |
| 32 | — | — | — | — | — | — | — | 2017 | 26–11 | 70.3% | #9 | 2,120 | 3 | 16 |
| 33 | — | — | — | — | — | — | — | 2018 | 17–17 | 50.0% | #66 | 1,946 | 3 | 16 |
| 34 | — | — | — | — | — | — | — | 2019 | 33–20 | 62.3% | #16 | 2,021 | 3 | 16 |
| 35 | — | — | — | — | — | — | — | 2020 | 15–8 | 65.2% | #18 | 2,001 | 3 | 16 |
| 36 | — | — | — | — | — | — | — | 2021 | 3–4 | 42.9% | #82 | 1,916 | 3 | 16 |
| 37 | — | — | — | — | — | — | — | 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 |