H2H data updated: 2026-07-18 22:32 UTC
Shuai Zhang vs Mona Barthel H2H: 0-4
Mona Barthel holds a 4–0 lead over Shuai Zhang in their WTA head-to-head. Across 4 main-draw meetings, Mona Barthel leads 3–0 on hard courts and 1–0 on clay. Most recently, Mona Barthel won the 2017 Prague third round 6-0 6-3.
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CHN
Right-Handed
177 cm / 5'10"
H2H
0
–
4
4 main draw meetings
GER
Age 36
Right-Handed
185 cm / 6'1"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| May 3, 2017* | Prague | WTA 250 | R32 | Clay | Mona Barthel | 6-0 6-3 | Shuai Zhang | Match data |
| Oct 7, 2015* | Beijing | WTA 1000 | R64 | Hard | Mona Barthel | 6-3 6-2 | Shuai Zhang | Match data |
| Aug 27, 2014* | US Open | Grand Slam | R128 | Hard | Mona Barthel | 6-1 6-2 | Shuai Zhang | Match data |
| Jan 15, 2014* | Australian Open | Grand Slam | R128 | Hard | Mona Barthel | 7-6(4) 6-3 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Shuai Zhang | #54 | #22 | 1,905 | 1,856 | 225 | 288 | 43.9% | 0 | 0 | 0 | 0 | 3 | 3 |
| Mona Barthel | #223 | #23 | 1,762 | 1,841 | 151 | 179 | 45.8% | 0 | 0 | 0 | 1 | 3 | 4 |
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 | Mona Barthel | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles |
| 2006 | 0–1 | 0.0% | #203 | 1,495 | 0 | 0 | 2010 | 0–1 | 0.0% | #195 | 1,492 | 0 | 0 |
| 2007 | 0–3 | 0.0% | #149 | 1,464 | 0 | 0 | 2011 | 5–6 | 45.5% | #69 | 1,551 | 0 | 0 |
| 2008 | 0–6 | 0.0% | #235 | 1,412 | 0 | 0 | 2012 | 29–23 | 55.8% | #39 | 1,682 | 0 | 1 |
| 2009 | 2–1 | 66.7% | #154 | 1,467 | 0 | 0 | 2013 | 24–22 | 52.2% | #34 | 1,646 | 0 | 2 |
| 2010 | 3–4 | 42.9% | #90 | 1,492 | 0 | 0 | 2014 | 23–23 | 50.0% | #42 | 1,712 | 0 | 3 |
| 2011 | 8–22 | 26.7% | #126 | 1,443 | 0 | 0 | 2015 | 24–26 | 48.0% | #45 | 1,672 | 0 | 3 |
| 2012 | 2–6 | 25.0% | #127 | 1,456 | 0 | 0 | 2016 | 6–13 | 31.6% | #158 | 1,555 | 0 | 3 |
| 2013 | 9–4 | 69.2% | #52 | 1,599 | 0 | 1 | 2017 | 17–18 | 48.6% | #48 | 1,600 | 0 | 4 |
| 2014 | 18–24 | 42.9% | #61 | 1,602 | 0 | 1 | 2018 | 14–20 | 41.2% | #77 | 1,625 | 0 | 4 |
| 2015 | 4–12 | 25.0% | #139 | 1,519 | 0 | 1 | 2019 | 6–13 | 31.6% | #183 | 1,552 | 0 | 4 |
| 2016 | 22–19 | 53.7% | #23 | 1,722 | 0 | 1 | 2021 | 3–11 | 21.4% | #275 | 1,458 | 0 | 4 |
| 2017 | 23–24 | 48.9% | #36 | 1,762 | 0 | 2 | 2024 | 0–2 | 0.0% | #171 | 1,525 | 0 | 4 |
| 2018 | 28–27 | 50.9% | #40 | 1,726 | 0 | 2 | 2026 | 0–1 | 0.0% | #223 | 1,535 | 0 | 4 |
| 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 | — | — | — | — | — | — | — |