H2H data updated: 2026-07-19 10:32 UTC
Elina Svitolina vs Shuai Zhang H2H: 2-0
Elina Svitolina holds a 2–0 lead over Shuai Zhang in their WTA head-to-head. Across 2 main-draw meetings, Elina Svitolina leads 2–0 on hard courts. Most recently, Elina Svitolina won the 2019 Australian Open third round 4-6 6-4 7-5.
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UKR
Age 31
Right-Handed
174 cm / 5'9"
H2H
2
–
0
2 main draw meetings
CHN
Right-Handed
177 cm / 5'10"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Jan 19, 2019* | Australian Open | Grand Slam | R32 | Hard | Elina Svitolina | 4-6 6-4 7-5 | Shuai Zhang | Match data |
| Mar 23, 2016* | Miami | WTA 1000 | R64 | Hard | Elina Svitolina | 6-3 6-0 | Shuai Zhang | 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 |
| Shuai Zhang | #54 | #22 | 1,905 | 1,856 | 225 | 288 | 43.9% | 0 | 0 | 0 | 0 | 3 | 3 |
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.
| Elina Svitolina | Shuai Zhang | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles |
| 2012 | 0–3 | 0.0% | #131 | 1,465 | 0 | 0 | 2006 | 0–1 | 0.0% | #203 | 1,495 | 0 | 0 |
| 2013 | 13–19 | 40.6% | #45 | 1,561 | 0 | 1 | 2007 | 0–3 | 0.0% | #149 | 1,464 | 0 | 0 |
| 2014 | 36–24 | 60.0% | #28 | 1,805 | 0 | 2 | 2008 | 0–6 | 0.0% | #235 | 1,412 | 0 | 0 |
| 2015 | 40–24 | 62.5% | #19 | 1,788 | 0 | 3 | 2009 | 2–1 | 66.7% | #154 | 1,467 | 0 | 0 |
| 2016 | 35–21 | 62.5% | #14 | 1,828 | 0 | 4 | 2010 | 3–4 | 42.9% | #90 | 1,492 | 0 | 0 |
| 2017 | 50–15 | 76.9% | #6 | 1,942 | 0 | 9 | 2011 | 8–22 | 26.7% | #126 | 1,443 | 0 | 0 |
| 2018 | 44–15 | 74.6% | #4 | 1,983 | 0 | 13 | 2012 | 2–6 | 25.0% | #127 | 1,456 | 0 | 0 |
| 2019 | 40–22 | 64.5% | #6 | 1,963 | 0 | 13 | 2013 | 9–4 | 69.2% | #52 | 1,599 | 0 | 1 |
| 2020 | 19–8 | 70.4% | #5 | 1,928 | 0 | 15 | 2014 | 18–24 | 42.9% | #61 | 1,602 | 0 | 1 |
| 2021 | 34–19 | 64.2% | #15 | 1,900 | 0 | 16 | 2015 | 4–12 | 25.0% | #139 | 1,519 | 0 | 1 |
| 2022 | 5–8 | 38.5% | #240 | 1,765 | 0 | 16 | 2016 | 22–19 | 53.7% | #23 | 1,722 | 0 | 1 |
| 2023 | 18–9 | 66.7% | #25 | 1,886 | 0 | 17 | 2017 | 23–24 | 48.9% | #36 | 1,762 | 0 | 2 |
| 2024 | 27–16 | 62.8% | #23 | 1,906 | 0 | 17 | 2018 | 28–27 | 50.9% | #40 | 1,726 | 0 | 2 |
| 2025 | 33–14 | 70.2% | #14 | 1,980 | 0 | 18 | 2019 | 18–23 | 43.9% | #40 | 1,680 | 0 | 2 |
| 2026 | 35–10 | 77.8% | #10 | 2,085 | 0 | 20 | 2020 | 12–10 | 54.5% | #35 | 1,731 | 0 | 2 |
| — | — | — | — | — | — | — | 2021 | 15–24 | 38.5% | #60 | 1,632 | 0 | 2 |
| — | — | — | — | — | — | — | 2022 | 34–26 | 56.7% | #25 | 1,732 | 0 | 3 |
| — | — | — | — | — | — | — | 2023 | 4–18 | 18.2% | #245 | 1,525 | 0 | 3 |
| — | — | — | — | — | — | — | 2024 | 5–12 | 29.4% | #205 | 1,576 | 0 | 3 |
| — | — | — | — | — | — | — | 2025 | 10–7 | 58.8% | #81 | 1,731 | 0 | 3 |
| — | — | — | — | — | — | — | 2026 | 8–15 | 34.8% | #54 | 1,714 | 0 | 3 |