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

Barbora Strycova vs Na Li H2H: 1-2

Na Li holds a 2–1 lead over Barbora Strycova in their WTA head-to-head. Across 3 main-draw meetings, Na Li leads 1–0 on clay, while Barbora Strycova leads 1–0 on grass. Most recently, Barbora Strycova won the 2014 Wimbledon third round 7-6(5) 7-6(5).

CZE Age 40 Right-Handed 164 cm / 5'5"
H2H
1 2
3 main draw meetings
CHN Age 44 Right-Handed 172 cm / 5'8"

H2H Match Log

DateTournamentCategoryRoundSurfaceWinnerScoreLoserMatch
Jun 29, 2014* Wimbledon Grand Slam R32 Grass Barbora Strycova #43 7-6(5) 7-6(5) Na Li #2 Match data
May 24, 2011* Roland Garros Grand Slam R128 Clay Na Li #7 6-3 6-7(6) 6-3 Barbora Strycova #49 Match data
Jan 23, 2011* Australian Open Grand Slam R32 Hard Na Li #11 6-2 6-1 Barbora Strycova #63 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
Barbora Strycova #430 #16 2,295 1,888 286 297 49.1% 0 0 0 1 1 2
Na Li #9 #2 7,585 2,124 334 155 68.3% 2 1 0 2 4 9

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 Barbora Strycova Na Li
YrW-LWin %RankEloGSTitles YrW-LWin %RankEloGSTitles
17 2003 0–1 0.0% #142 1,485 0 0
18 2004 14–15 48.3% #57 1,562 0 0 2000 1–2 33.3% #136 1,499 0 0
19 2005 8–15 34.8% #137 1,490 0 0 2001 0–1 0.0% #302 1,483 0 0
20 2006 0–1 0.0% #168 1,477 0 0
21 2007 2–5 28.6% #151 1,456 0 0
22 2008 5–9 35.7% #75 1,512 0 0 2004 6–1 85.7% #78 1,601 0 1
23 2009 13–20 39.4% #66 1,524 0 0 2005 23–14 62.2% #56 1,711 0 1
24 2010 16–22 42.1% #67 1,591 0 0 2006 36–22 62.1% #21 1,801 0 1
25 2011 24–26 48.0% #44 1,631 0 1 2007 22–12 64.7% #29 1,814 0 1
26 2012 13–21 38.2% #89 1,564 0 1 2008 24–12 66.7% #23 1,843 0 2
27 2013 5–6 45.5% #94 1,584 0 1 2009 35–17 67.3% #15 1,914 0 2
28 2014 29–23 55.8% #25 1,750 0 1 2010 36–20 64.3% #11 1,844 0 3
29 2015 31–26 54.4% #42 1,710 0 1 2011 33–17 66.0% #5 1,868 1 5
30 2016 35–23 60.3% #20 1,791 0 1 2012 43–16 72.9% #7 2,016 1 6
31 2017 42–24 63.6% #23 1,868 0 2 2013 46–14 76.7% #3 2,077 1 7
32 2018 23–22 51.1% #33 1,765 0 2 2014 29–7 80.6% #9 2,031 2 9
33 2019 19–20 48.7% #33 1,713 0 2
34 2020 5–9 35.7% #37 1,680 0 2
35 2021 0–2 0.0% #340 1,650 0 2
37 2023 2–7 22.2% #430 1,602 0 2