H2H data updated: 2026-07-18 02:15 UTC

Shuai Zhang vs Kateryna Baindl H2H: 3-2

Shuai Zhang holds a 3–2 lead over Kateryna Baindl in their WTA head-to-head. Across 5 main-draw meetings, Shuai Zhang leads 3–1 on hard courts, while Kateryna Baindl leads 1–0 on clay. Most recently, Shuai Zhang won the 2020 Hobart fourth round 4-6 6-1 6-2.

CHN Right-Handed 177 cm / 5'10"
H2H
3 2
5 main draw meetings
UKR Age 32 Right-Handed 175 cm / 5'9"

H2H Match Log

DateTournamentCategoryRoundSurfaceWinnerScoreLoserMatch
Jan 16, 2020* Hobart WTA 250 R16 Hard Shuai Zhang #40 4-6 6-1 6-2 Kateryna Baindl #91 Match data
Sep 19, 2019* Guangzhou WTA 250 R32 Hard Shuai Zhang #34 6-2 6-4 Kateryna Baindl #72 Match data
May 6, 2019 Madrid WTA 1000 R64 Clay Kateryna Baindl #85 6-3 6-2 Shuai Zhang #45 Match data
Feb 1, 2018* Taipei WTA 250 R32 Hard Kateryna Baindl #85 6-2 6-4 Shuai Zhang #34 Match data
Sep 22, 2017* Guangzhou WTA 250 QF Hard Shuai Zhang #30 6-1 6-1 Kateryna Baindl #83 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
Shuai Zhang #54 #22 1,905 1,856 225 288 43.9% 0 0 0 0 3 3
Kateryna Baindl #467 #62 922 1,730 75 107 41.2% 0 0 0 0 0 0

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.

Shuai Zhang Kateryna Baindl
YrW-LWin %RankEloGSTitles YrW-LWin %RankEloGSTitles
2006 0–1 0.0% #203 1,495 0 0 2013 1–2 33.3% #200 1,486 0 0
2007 0–3 0.0% #149 1,464 0 0 2014 1–3 25.0% #140 1,477 0 0
2008 0–6 0.0% #235 1,412 0 0 2015 5–10 33.3% #162 1,477 0 0
2009 2–1 66.7% #154 1,467 0 0 2016 12–11 52.2% #102 1,611 0 0
2010 3–4 42.9% #90 1,492 0 0 2017 7–12 36.8% #86 1,566 0 0
2011 8–22 26.7% #126 1,443 0 0 2018 12–15 44.4% #98 1,540 0 0
2012 2–6 25.0% #127 1,456 0 0 2019 13–17 43.3% #91 1,640 0 0
2013 9–4 69.2% #52 1,599 0 1 2020 2–6 25.0% #106 1,607 0 0
2014 18–24 42.9% #61 1,602 0 1 2021 9–11 45.0% #144 1,689 0 0
2015 4–12 25.0% #139 1,519 0 1 2022 4–5 44.4% #99 1,678 0 0
2016 22–19 53.7% #23 1,722 0 1 2023 9–13 40.9% #132 1,618 0 0
2017 23–24 48.9% #36 1,762 0 2 2024 0–2 0.0% #445 1,552 0 0
2018 28–27 50.9% #40 1,726 0 2
2019 18–23 43.9% #40 1,680 0 2
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