Grand Slam · Round of 32 · Roland Garros
Final score & match stats
Playing styles and historical archetype record
Mladenovic
🏃 Pusher
Rogers
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 68% vs 🏃 Pusher across 525 matches in our dataset. That is a small stylistic lean for Shelby Rogers here.
Servebot players often use high ace rate and dominant service to pressure the pusher's extreme retrieval. On Clay, 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 | Rogers |
|---|---|---|
| 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 · 4 career meetings
2
Mladenovic
2
Rogers
Apr 5, 2021
Charleston 1
C Clay · Round of 64
Jul 29, 2019
Washington
H Hard · Round of 32
May 29, 2017
Roland Garros
C Clay · Round of 32
Aug 22, 2016
New Haven
H Hard · Round of 32
Serve and return comparison · Last 90 days
| Stat | Mladenovic | Rogers |
|---|---|---|
| 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 (Clay) | ||
| Clay Win % | 0% | 0% |
Last five matches per player
Matchup overview
Kristina Mladenovic and Shelby Rogers face off in the Round of 32 at Roland Garros on Clay.
Kristina Mladenovic leads 2-2 over 4 previous meetings.
Kristina Mladenovic is 1-4 over the last 5 matches. Latest result: L vs Valentina Ryser (Jun 16).
Shelby Rogers is 1-4 over the last 5 matches. Latest result: L vs Jessica Pegula (Aug 26).
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