H2H data updated: 2026-07-18 04:32 UTC
Elina Svitolina vs Kiki Bertens H2H: 2-3
Kiki Bertens holds a 3–2 lead over Elina Svitolina 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 Beijing quarterfinal 7-6(6) 6-2.
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UKR
Age 31
Right-Handed
174 cm / 5'9"
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 4, 2019 | Beijing | WTA 1000 | QF | Hard | Kiki Bertens | 7-6(6) 6-2 | Elina Svitolina | Match data |
| Oct 27, 2018 | WTA Finals | WTA Finals | SF | Hard | Elina Svitolina | 7-5 6-7(5) 6-4 | Kiki Bertens | Match data |
| Aug 18, 2018* | Cincinnati | WTA 1000 | QF | Hard | Kiki Bertens | 6-4 6-3 | Elina Svitolina | Match data |
| Nov 1, 2016 | Zhuhai | WTA Finals | QF | Hard | Kiki Bertens | 6-2 3-2 | Elina Svitolina | Match data |
| Oct 31, 2016 | Zhuhai | WTA Finals | RR | Hard | Elina Svitolina | 2-6 6-4 6-2 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Elina Svitolina | #10 | #3 | 6,085 | 2,143 | 429 | 227 | 65.4% | 0 | 6 | 1 | 4 | 9 | 20 |
| 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 | Elina Svitolina | Kiki Bertens | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 17 | 2012 | 0–3 | 0.0% | #131 | 1,465 | 0 | 0 | — | — | — | — | — | — | — |
| 18 | 2013 | 13–19 | 40.6% | #45 | 1,561 | 0 | 1 | — | — | — | — | — | — | — |
| 19 | 2014 | 36–24 | 60.0% | #28 | 1,805 | 0 | 2 | 2011 | 0–1 | 0.0% | #182 | 1,493 | 0 | 0 |
| 20 | 2015 | 40–24 | 62.5% | #19 | 1,788 | 0 | 3 | 2012 | 11–12 | 47.8% | #63 | 1,581 | 0 | 1 |
| 21 | 2016 | 35–21 | 62.5% | #14 | 1,828 | 0 | 4 | 2013 | 14–19 | 42.4% | #87 | 1,552 | 0 | 1 |
| 22 | 2017 | 50–15 | 76.9% | #6 | 1,942 | 0 | 9 | 2014 | 11–14 | 44.0% | #68 | 1,580 | 0 | 1 |
| 23 | 2018 | 44–15 | 74.6% | #4 | 1,983 | 0 | 13 | 2015 | 7–17 | 29.2% | #104 | 1,520 | 0 | 1 |
| 24 | 2019 | 40–22 | 64.5% | #6 | 1,963 | 0 | 13 | 2016 | 27–19 | 58.7% | #22 | 1,723 | 0 | 2 |
| 25 | 2020 | 19–8 | 70.4% | #5 | 1,928 | 0 | 15 | 2017 | 30–26 | 53.6% | #31 | 1,684 | 0 | 5 |
| 26 | 2021 | 34–19 | 64.2% | #15 | 1,900 | 0 | 16 | 2018 | 46–22 | 67.6% | #9 | 1,912 | 0 | 8 |
| 27 | 2022 | 5–8 | 38.5% | #240 | 1,765 | 0 | 16 | 2019 | 54–25 | 68.4% | #9 | 1,897 | 0 | 10 |
| 28 | 2023 | 18–9 | 66.7% | #25 | 1,886 | 0 | 17 | 2020 | 13–6 | 68.4% | #9 | 1,883 | 0 | 11 |
| 29 | 2024 | 27–16 | 62.8% | #23 | 1,906 | 0 | 17 | 2021 | 1–7 | 12.5% | #25 | 1,749 | 0 | 11 |
| 30 | 2025 | 33–14 | 70.2% | #14 | 1,980 | 0 | 18 | — | — | — | — | — | — | — |
| 31 | 2026 | 35–10 | 77.8% | #10 | 2,085 | 0 | 20 | — | — | — | — | — | — | — |