H2H data updated: 2026-07-18 02:15 UTC
Borna Coric vs Albert Ramos-Vinolas H2H: 3-1
Borna Coric holds a 3–1 lead over Albert Ramos-Vinolas in their ATP head-to-head. Across 4 main-draw meetings, Borna Coric leads 2–1 on hard courts and 1–0 on clay. Most recently, Borna Coric won the 2018 Vienna third round 6-7(5) 6-0 6-4.
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Croatia
Age 29
Right-Handed
188 cm / 6'2"
H2H
3
–
1
4 main draw meetings
Spain
Age 38
Left-Handed
188 cm / 6'2"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Oct 25, 2018* | Vienna | ATP 500 | R32 | Hard | Borna Coric | 6-7(5) 6-0 6-4 | Albert Ramos-Vinolas | Match data |
| Mar 11, 2018* | Indian Wells Masters | Masters 1000 | R64 | Hard | Borna Coric | 6-0 6-3 | Albert Ramos-Vinolas | Match data |
| Apr 15, 2017* | Marrakech | ATP 250 | QF | Clay | Borna Coric | 4-6 6-4 6-4 | Albert Ramos-Vinolas | Match data |
| Jan 20, 2016* | Australian Open | Grand Slam | R128 | Hard | Albert Ramos-Vinolas | 6-2 6-2 6-3 | 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 |
| Albert Ramos-Vinolas | #477 | #17 | 2,180 | 1,966 | 276 | 327 | 45.8% | 0 | 0 | 0 | 0 | 4 | 4 |
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 | Albert Ramos-Vinolas | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | — | — | — | — | — | — | — |
| 19 | 2016 | 21–20 | 51.2% | #48 | 1,866 | 0 | 0 | — | — | — | — | — | — | — |
| 20 | 2017 | 21–25 | 45.7% | #48 | 1,803 | 0 | 1 | — | — | — | — | — | — | — |
| 21 | 2018 | 35–19 | 64.8% | #12 | 2,014 | 0 | 2 | — | — | — | — | — | — | — |
| 22 | 2019 | 27–22 | 55.1% | #28 | 1,814 | 0 | 2 | 2010 | 2–4 | 33.3% | #123 | 1,554 | 0 | 0 |
| 23 | 2020 | 15–10 | 60.0% | #24 | 1,883 | 0 | 2 | 2011 | 13–16 | 44.8% | #66 | 1,722 | 0 | 0 |
| 24 | 2021 | 6–3 | 66.7% | #73 | 1,891 | 0 | 2 | 2012 | 26–30 | 46.4% | #50 | 1,732 | 0 | 0 |
| 25 | 2022 | 16–12 | 57.1% | #26 | 1,931 | 0 | 3 | 2013 | 19–22 | 46.3% | #83 | 1,647 | 0 | 0 |
| 26 | 2023 | 18–18 | 50.0% | #37 | 1,789 | 0 | 3 | 2014 | 13–20 | 39.4% | #63 | 1,725 | 0 | 0 |
| 27 | 2024 | 11–18 | 37.9% | #90 | 1,650 | 0 | 3 | 2015 | 16–23 | 41.0% | #54 | 1,768 | 0 | 0 |
| 28 | 2025 | 0–7 | 0.0% | #115 | 1,574 | 0 | 3 | 2016 | 34–30 | 53.1% | #27 | 1,886 | 0 | 1 |
| 29 | — | — | — | — | — | — | — | 2017 | 33–30 | 52.4% | #23 | 1,813 | 0 | 1 |
| 30 | — | — | — | — | — | — | — | 2018 | 18–28 | 39.1% | #65 | 1,700 | 0 | 1 |
| 31 | — | — | — | — | — | — | — | 2019 | 30–24 | 55.6% | #41 | 1,854 | 0 | 2 |
| 32 | — | — | — | — | — | — | — | 2020 | 9–14 | 39.1% | #46 | 1,704 | 0 | 2 |
| 33 | — | — | — | — | — | — | — | 2021 | 24–25 | 49.0% | #45 | 1,730 | 0 | 3 |
| 34 | — | — | — | — | — | — | — | 2022 | 24–27 | 47.1% | #39 | 1,741 | 0 | 4 |
| 35 | — | — | — | — | — | — | — | 2023 | 12–23 | 34.3% | #89 | 1,660 | 0 | 4 |
| 36 | — | — | — | — | — | — | — | 2024 | 3–9 | 25.0% | #165 | 1,570 | 0 | 4 |
| 37 | — | — | — | — | — | — | — | 2025 | 0–2 | 0.0% | #403 | 1,570 | 0 | 4 |