H2H data updated: 2026-07-19 02:51 UTC
Ekaterina Makarova vs Sybille Bammer H2H: 0-2
Sybille Bammer holds a 2–0 lead over Ekaterina Makarova in their WTA head-to-head. Across 2 main-draw meetings, Sybille Bammer leads 2–0 on hard courts. Most recently, Sybille Bammer won the 2009 Seoul third round 2-6 6-4 6-4.
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RUS
Age 38
Left-Handed
180 cm / 5'11"
H2H
0
–
2
2 main draw meetings
AUT
Age 46
Left-Handed
174 cm / 5'9"
H2H Match Log
| Date | Tournament | Category | Round | Surface | Winner | Score | Loser | Match |
|---|---|---|---|---|---|---|---|---|
| Sep 24, 2009* | Seoul | WTA 250 | R32 | Hard | Sybille Bammer | 2-6 6-4 6-4 | Ekaterina Makarova | Match data |
| Feb 28, 2008* | Dubai | WTA 500 | R32 | Hard | Sybille Bammer | 7-6(6) 6-3 | Ekaterina Makarova | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ekaterina Makarova | #1,000 | #8 | 3,620 | 1,940 | 248 | 222 | 52.8% | 0 | 0 | 0 | 2 | 1 | 3 |
| Sybille Bammer | #161 | #19 | 2,014 | 1,844 | 130 | 139 | 48.3% | 0 | 0 | 0 | 0 | 2 | 2 |
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 | Ekaterina Makarova | Sybille Bammer | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 19 | 2007 | 2–2 | 50.0% | #110 | 1,536 | 0 | 0 | — | — | — | — | — | — | — |
| 20 | 2008 | 17–20 | 45.9% | #46 | 1,626 | 0 | 0 | 2000 | 0–1 | 0.0% | #294 | 1,487 | 0 | 0 |
| 21 | 2009 | 19–22 | 46.3% | #60 | 1,634 | 0 | 0 | — | — | — | — | — | — | — |
| 22 | 2010 | 14–20 | 41.2% | #49 | 1,662 | 0 | 1 | — | — | — | — | — | — | — |
| 23 | 2011 | 15–23 | 39.5% | #53 | 1,604 | 0 | 1 | 2003 | 0–2 | 0.0% | #148 | 1,474 | 0 | 0 |
| 24 | 2012 | 26–19 | 57.8% | #20 | 1,757 | 0 | 1 | 2004 | 0–4 | 0.0% | #175 | 1,441 | 0 | 0 |
| 25 | 2013 | 24–18 | 57.1% | #24 | 1,838 | 0 | 1 | 2005 | 5–7 | 41.7% | #77 | 1,492 | 0 | 0 |
| 26 | 2014 | 39–21 | 65.0% | #11 | 1,837 | 0 | 2 | 2006 | 19–26 | 42.2% | #49 | 1,569 | 0 | 0 |
| 27 | 2015 | 26–16 | 61.9% | #23 | 1,784 | 0 | 2 | 2007 | 43–24 | 64.2% | #19 | 1,780 | 0 | 1 |
| 28 | 2016 | 23–18 | 56.1% | #30 | 1,782 | 0 | 2 | 2008 | 24–24 | 50.0% | #26 | 1,682 | 0 | 1 |
| 29 | 2017 | 27–21 | 56.2% | #33 | 1,836 | 0 | 3 | 2009 | 21–23 | 47.7% | #54 | 1,662 | 0 | 2 |
| 30 | 2018 | 16–19 | 45.7% | #57 | 1,750 | 0 | 3 | 2010 | 15–19 | 44.1% | #68 | 1,646 | 0 | 2 |
| 31 | 2019 | 0–3 | 0.0% | #997 | 1,700 | 0 | 3 | 2011 | 3–9 | 25.0% | #161 | 1,569 | 0 | 2 |