H2H data updated: 2026-07-19 16:32 UTC
Donna Vekic vs Kiki Bertens H2H: 2-3
Kiki Bertens holds a 3–2 lead over Donna Vekic in their WTA head-to-head. Across 5 main-draw meetings, Kiki Bertens leads 3–2 on hard courts. Most recently, Kiki Bertens won the 2019 Zhuhai round-robin match 7-6(5) 6-2.
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CRO
Age 30
Right-Handed
179 cm / 5'10"
H2H
2
–
3
5 main draw meetings
NED
Age 34
Right-Handed
182 cm / 6'0"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Oct 22, 2019 | Zhuhai | WTA Finals | RR | Hard | Kiki Bertens | 7-6(5) 6-2 | Donna Vekic | Match data |
| Sep 28, 2019 | Beijing | WTA 1000 | R64 | Hard | Kiki Bertens | 3-6 6-1 7-6(3) | Donna Vekic | Match data |
| Feb 3, 2019* | St. Petersburg | WTA 500 | F | Hard | Kiki Bertens | 7-6(2) 6-4 | Donna Vekic | Match data |
| Jan 2, 2019 | Brisbane | WTA 500 | R16 | Hard | Donna Vekic | 7-6(5) 1-6 7-5 | Kiki Bertens | Match data |
| Oct 1, 2015* | Tashkent | WTA 250 | R32 | Hard | Donna Vekic | 6-3 1-6 6-3 | Kiki Bertens | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Donna Vekic | #35 | #17 | 2,458 | 1,908 | 230 | 232 | 49.8% | 0 | 0 | 0 | 2 | 3 | 5 |
| Kiki Bertens | #25 | #4 | 5,430 | 2,015 | 214 | 168 | 56.0% | 0 | 2 | 0 | 3 | 6 | 11 |
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 | Donna Vekic | Kiki Bertens | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 16 | 2012 | 4–1 | 80.0% | #108 | 1,565 | 0 | 0 | — | — | — | — | — | — | — |
| 17 | 2013 | 12–12 | 50.0% | #96 | 1,603 | 0 | 0 | — | — | — | — | — | — | — |
| 18 | 2014 | 12–18 | 40.0% | #82 | 1,550 | 0 | 1 | — | — | — | — | — | — | — |
| 19 | 2015 | 10–10 | 50.0% | #103 | 1,606 | 0 | 1 | 2011 | 0–1 | 0.0% | #182 | 1,493 | 0 | 0 |
| 20 | 2016 | 4–16 | 20.0% | #101 | 1,563 | 0 | 1 | 2012 | 11–12 | 47.8% | #63 | 1,581 | 0 | 1 |
| 21 | 2017 | 16–21 | 43.2% | #55 | 1,669 | 0 | 2 | 2013 | 14–19 | 42.4% | #87 | 1,552 | 0 | 1 |
| 22 | 2018 | 27–23 | 54.0% | #34 | 1,761 | 0 | 2 | 2014 | 11–14 | 44.0% | #68 | 1,580 | 0 | 1 |
| 23 | 2019 | 35–24 | 59.3% | #19 | 1,767 | 0 | 2 | 2015 | 7–17 | 29.2% | #104 | 1,520 | 0 | 1 |
| 24 | 2020 | 8–11 | 42.1% | #32 | 1,693 | 0 | 2 | 2016 | 27–19 | 58.7% | #22 | 1,723 | 0 | 2 |
| 25 | 2021 | 14–14 | 50.0% | #68 | 1,745 | 0 | 3 | 2017 | 30–26 | 53.6% | #31 | 1,684 | 0 | 5 |
| 26 | 2022 | 12–13 | 48.0% | #67 | 1,799 | 0 | 3 | 2018 | 46–22 | 67.6% | #9 | 1,912 | 0 | 8 |
| 27 | 2023 | 26–20 | 56.5% | #23 | 1,776 | 0 | 4 | 2019 | 54–25 | 68.4% | #9 | 1,897 | 0 | 10 |
| 28 | 2024 | 26–19 | 57.8% | #19 | 1,862 | 0 | 4 | 2020 | 13–6 | 68.4% | #9 | 1,883 | 0 | 11 |
| 29 | 2025 | 14–21 | 40.0% | #69 | 1,734 | 0 | 4 | 2021 | 1–7 | 12.5% | #25 | 1,749 | 0 | 11 |
| 30 | 2026 | 10–9 | 52.6% | #35 | 1,795 | 0 | 5 | — | — | — | — | — | — | — |