H2H data updated: 2026-07-18 07:16 UTC
Marin Cilic vs Daniel Evans H2H: 1-1
Marin Cilic and Daniel Evans are tied 1–1 in their ATP head-to-head. Across 2 main-draw meetings, they are tied 1–1 on hard courts. Most recently, Marin Cilic won the 2022 US Open third round 7-6(11) 6-7(3) 6-2 7-5.
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Croatia
Age 37
Right-Handed
198 cm / 6'6"
H2H
1
–
1
2 main draw meetings
Great Britain
Age 36
Right-Handed
175 cm / 5'9"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Sep 4, 2022* | US Open | Grand Slam | R32 | Hard | Marin Cilic | 7-6(11) 6-7(3) 6-2 7-5 | Daniel Evans | Match data |
| Jan 19, 2017* | Australian Open | Grand Slam | R64 | Hard | Daniel Evans | 3-6 7-5 6-3 6-3 | 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 |
| Daniel Evans | #385 | #21 | 2,195 | 1,927 | 140 | 160 | 46.7% | 0 | 0 | 0 | 1 | 1 | 2 |
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 | Daniel Evans | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 2008 | 0–1 | 0.0% | #477 | 1,465 | 0 | 0 |
| 19 | 2008 | 36–23 | 61.0% | #23 | 1,904 | 0 | 1 | 2009 | 0–1 | 0.0% | #261 | 1,441 | 0 | 0 |
| 20 | 2009 | 45–20 | 69.2% | #14 | 1,989 | 0 | 3 | 2010 | 0–1 | 0.0% | #363 | 1,505 | 0 | 0 |
| 21 | 2010 | 38–21 | 64.4% | #14 | 1,854 | 0 | 5 | 2011 | 0–2 | 0.0% | #342 | 1,490 | 0 | 0 |
| 22 | 2011 | 40–23 | 63.5% | #21 | 1,963 | 0 | 6 | 2012 | 0–1 | 0.0% | #297 | 1,533 | 0 | 0 |
| 23 | 2012 | 37–17 | 68.5% | #15 | 2,009 | 0 | 8 | 2013 | 4–2 | 66.7% | #150 | 1,689 | 0 | 0 |
| 24 | 2013 | 24–13 | 64.9% | #37 | 1,964 | 0 | 9 | 2014 | 4–6 | 40.0% | #305 | 1,677 | 0 | 0 |
| 25 | 2014 | 51–21 | 70.8% | #9 | 2,127 | 1 | 13 | — | — | — | — | — | — | — |
| 26 | 2015 | 35–19 | 64.8% | #13 | 2,061 | 1 | 14 | 2016 | 9–8 | 52.9% | #66 | 1,790 | 0 | 0 |
| 27 | 2016 | 42–20 | 67.7% | #6 | 2,133 | 1 | 16 | 2017 | 11–10 | 52.4% | #133 | 1,820 | 0 | 0 |
| 28 | 2017 | 43–22 | 66.2% | #6 | 2,055 | 1 | 17 | 2018 | 0–1 | 0.0% | #192 | 1,787 | 0 | 0 |
| 29 | 2018 | 40–19 | 67.8% | #7 | 2,056 | 1 | 18 | 2019 | 18–18 | 50.0% | #42 | 1,817 | 0 | 0 |
| 30 | 2019 | 22–20 | 52.4% | #39 | 1,911 | 1 | 18 | 2020 | 16–13 | 55.2% | #32 | 1,858 | 0 | 0 |
| 31 | 2020 | 11–11 | 50.0% | #42 | 1,850 | 1 | 18 | 2021 | 23–22 | 51.1% | #25 | 1,836 | 0 | 1 |
| 32 | 2021 | 31–18 | 63.3% | #30 | 1,933 | 1 | 20 | 2022 | 27–26 | 50.9% | #27 | 1,850 | 0 | 1 |
| 33 | 2022 | 32–20 | 61.5% | #17 | 1,958 | 1 | 20 | 2023 | 15–23 | 39.5% | #38 | 1,761 | 0 | 2 |
| 34 | 2023 | 1–2 | 33.3% | #672 | 1,912 | 1 | 20 | 2024 | 6–19 | 24.0% | #164 | 1,704 | 0 | 2 |
| 35 | 2024 | 6–8 | 42.9% | #179 | 1,816 | 1 | 21 | 2025 | 7–6 | 53.8% | #185 | 1,724 | 0 | 2 |
| 36 | 2025 | 8–11 | 42.1% | #73 | 1,819 | 1 | 21 | — | — | — | — | — | — | — |
| 37 | 2026 | 13–14 | 48.1% | #88 | 1,758 | 1 | 21 | — | — | — | — | — | — | — |