Grand Slam · Round of 128 · Australian Open
Final score & match stats
Playing styles and historical archetype record
Mladenovic
🏃 Pusher
Lisicki
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 68% vs 🏃 Pusher across 519 matches in our dataset. That is a small stylistic lean for Sabine Lisicki here.
Servebot players often use high ace rate and dominant service to pressure the pusher's extreme retrieval. On Hard, that can swing with conditions.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Mladenovic | Lisicki |
|---|---|---|
| W-L | 0–1 | - |
| Avg odds | 1.35 | - |
| ROI % | -100.0% | - |
| Units P/L | -1.00u | - |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 3 career meetings
2
Mladenovic
1
Lisicki
Jul 18, 2016
Washington
H Hard · Round of 32
Jun 13, 2016
Mallorca
G Grass · Round of 32
Jan 19, 2015
Australian Open
H Hard · Round of 128
Serve and return comparison · Last 90 days
| Stat | Mladenovic | Lisicki |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 0% |
| 1st Serve Pts Won % | 0% | 0% |
| 2nd Serve Pts Won % | 0% | 0% |
| Aces / Match | 0 | 0 |
| Double Faults / Match | 0 | 0 |
| Break Points Saved % | 0% | 0% |
| Return | ||
| 1st Return Pts Won % | 0% | 0% |
| 2nd Return Pts Won % | 0% | 0% |
| BP Converted % | 0% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Kristina Mladenovic and Sabine Lisicki face off in the Round of 128 at Australian Open on Hard.
Kristina Mladenovic leads 2-1 over 3 previous meetings.
Kristina Mladenovic is 1-4 over the last 5 matches. Latest result: L vs Valentina Ryser (Jun 16).
Sabine Lisicki is 1-4 over the last 5 matches. Latest result: L vs Anna Blinkova (Jun 26).
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