H2H data updated: 2026-07-18 17:48 UTC

Roberta Vinci vs Na Li H2H: 0-3

Na Li holds a 3–0 lead over Roberta Vinci in their WTA head-to-head. Across 3 main-draw meetings, Na Li leads 1–0 on clay and 1–0 on grass. Most recently, Na Li won the 2013 Wimbledon fourth round 6-2 6-0.

ITA Age 43 Right-Handed 163 cm / 5'4"
H2H
0 3
3 main draw meetings
CHN Age 44 Right-Handed 172 cm / 5'8"

H2H Match Log

DateTournamentCategoryRoundSurfaceWinnerScoreLoserMatch
Jul 3, 2013* Wimbledon Grand Slam R16 Grass Na Li #6 6-2 6-0 Roberta Vinci #11 Match data
May 6, 2011* Madrid WTA 1000 R16 Clay Na Li #6 2-6 6-2 6-1 Roberta Vinci #37 Match data
Jan 5, 2006* Gold Coast WTA 500 R32 Hard Na Li #56 6-4 6-0 Roberta Vinci #41 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
Roberta Vinci #193 #7 3,615 1,923 320 287 52.7% 0 0 0 2 8 10
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 Roberta Vinci Na Li
YrW-LWin %RankEloGSTitles YrW-LWin %RankEloGSTitles
18 2001 1–2 33.3% #168 1,485 0 0 2000 1–2 33.3% #136 1,499 0 0
19 2002 3–5 37.5% #184 1,478 0 0 2001 0–1 0.0% #302 1,483 0 0
20 2003 2–2 50.0% #119 1,503 0 0
21 2004 4–8 33.3% #116 1,507 0 0
22 2005 15–17 46.9% #41 1,623 0 0 2004 6–1 85.7% #78 1,601 0 1
23 2006 10–16 38.5% #85 1,576 0 0 2005 23–14 62.2% #56 1,711 0 1
24 2007 11–17 39.3% #73 1,561 0 1 2006 36–22 62.1% #21 1,801 0 1
25 2008 5–6 45.5% #84 1,585 0 1 2007 22–12 64.7% #29 1,814 0 1
26 2009 23–23 50.0% #63 1,663 0 2 2008 24–12 66.7% #23 1,843 0 2
27 2010 28–20 58.3% #38 1,817 0 3 2009 35–17 67.3% #15 1,914 0 2
28 2011 37–24 60.7% #23 1,774 0 6 2010 36–20 64.3% #11 1,844 0 3
29 2012 44–27 62.0% #16 1,834 0 7 2011 33–17 66.0% #5 1,868 1 5
30 2013 46–23 66.7% #14 1,853 0 9 2012 43–16 72.9% #7 2,016 1 6
31 2014 21–26 44.7% #47 1,712 0 9 2013 46–14 76.7% #3 2,077 1 7
32 2015 31–26 54.4% #15 1,765 0 9 2014 29–7 80.6% #9 2,031 2 9
33 2016 28–22 56.0% #18 1,733 0 10
34 2017 10–20 33.3% #116 1,610 0 10
35 2018 1–3 25.0% #193 1,628 0 10