H2H data updated: 2026-07-19 04:32 UTC
Donna Vekic vs Svetlana Kuznetsova H2H: 1-3
Svetlana Kuznetsova holds a 3–1 lead over Donna Vekic in their WTA head-to-head. Across 4 main-draw meetings, Svetlana Kuznetsova leads 3–1 on hard courts. Most recently, Svetlana Kuznetsova won the 2019 Toronto third round 7-6(4) 6-3.
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CRO
Age 30
Right-Handed
179 cm / 5'10"
H2H
1
–
3
4 main draw meetings
RUS
Age 41
Right-Handed
174 cm / 5'9"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Aug 8, 2019* | Toronto | WTA 1000 | R32 | Hard | Svetlana Kuznetsova | 7-6(4) 6-3 | Donna Vekic | Match data |
| Aug 5, 2018 | Washington DC | WTA 500 | F | Hard | Svetlana Kuznetsova | 4-6 7-6(7) 6-2 | Donna Vekic | Match data |
| Oct 14, 2016* | Tianjin | WTA 250 | R16 | Hard | Svetlana Kuznetsova | 7-5 6-4 | Donna Vekic | Match data |
| Mar 19, 2014* | Miami | WTA 1000 | R64 | Hard | Donna Vekic | 7-6(5) 7-5 | Svetlana Kuznetsova | 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 |
| Svetlana Kuznetsova | #1,203 | #2 | 6,191 | 2,097 | 580 | 319 | 64.5% | 2 | 2 | 0 | 10 | 4 | 18 |
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 | Svetlana Kuznetsova | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 2001 | 2–2 | 50.0% | #266 | 1,519 | 0 | 0 |
| 17 | 2013 | 12–12 | 50.0% | #96 | 1,603 | 0 | 0 | 2002 | 22–9 | 71.0% | #43 | 1,744 | 0 | 2 |
| 18 | 2014 | 12–18 | 40.0% | #82 | 1,550 | 0 | 1 | 2003 | 22–16 | 57.9% | #35 | 1,819 | 0 | 2 |
| 19 | 2015 | 10–10 | 50.0% | #103 | 1,606 | 0 | 1 | 2004 | 54–19 | 74.0% | #5 | 2,026 | 1 | 5 |
| 20 | 2016 | 4–16 | 20.0% | #101 | 1,563 | 0 | 1 | 2005 | 29–17 | 63.0% | #18 | 1,868 | 1 | 5 |
| 21 | 2017 | 16–21 | 43.2% | #55 | 1,669 | 0 | 2 | 2006 | 61–20 | 75.3% | #4 | 2,039 | 1 | 8 |
| 22 | 2018 | 27–23 | 54.0% | #34 | 1,761 | 0 | 2 | 2007 | 51–20 | 71.8% | #2 | 1,994 | 1 | 9 |
| 23 | 2019 | 35–24 | 59.3% | #19 | 1,767 | 0 | 2 | 2008 | 41–20 | 67.2% | #8 | 1,934 | 1 | 9 |
| 24 | 2020 | 8–11 | 42.1% | #32 | 1,693 | 0 | 2 | 2009 | 41–16 | 71.9% | #3 | 1,981 | 2 | 12 |
| 25 | 2021 | 14–14 | 50.0% | #68 | 1,745 | 0 | 3 | 2010 | 26–16 | 61.9% | #27 | 1,884 | 2 | 13 |
| 26 | 2022 | 12–13 | 48.0% | #67 | 1,799 | 0 | 3 | 2011 | 31–19 | 62.0% | #19 | 1,804 | 2 | 13 |
| 27 | 2023 | 26–20 | 56.5% | #23 | 1,776 | 0 | 4 | 2012 | 13–12 | 52.0% | #71 | 1,776 | 2 | 13 |
| 28 | 2024 | 26–19 | 57.8% | #19 | 1,862 | 0 | 4 | 2013 | 29–18 | 61.7% | #21 | 1,827 | 2 | 13 |
| 29 | 2025 | 14–21 | 40.0% | #69 | 1,734 | 0 | 4 | 2014 | 27–18 | 60.0% | #27 | 1,845 | 2 | 14 |
| 30 | 2026 | 10–9 | 52.6% | #35 | 1,795 | 0 | 5 | 2015 | 26–19 | 57.8% | #25 | 1,836 | 2 | 15 |
| 31 | — | — | — | — | — | — | — | 2016 | 40–20 | 66.7% | #9 | 1,917 | 2 | 17 |
| 32 | — | — | — | — | — | — | — | 2017 | 32–17 | 65.3% | #12 | 1,826 | 2 | 17 |
| 33 | — | — | — | — | — | — | — | 2018 | 6–12 | 33.3% | #106 | 1,709 | 2 | 18 |
| 34 | — | — | — | — | — | — | — | 2019 | 14–13 | 51.9% | #53 | 1,772 | 2 | 18 |
| 35 | — | — | — | — | — | — | — | 2020 | 8–7 | 53.3% | #36 | 1,799 | 2 | 18 |
| 36 | — | — | — | — | — | — | — | 2021 | 5–9 | 35.7% | #109 | 1,726 | 2 | 18 |