WTA 1000 · Round of 64 · Toronto
Final score & match stats
Playing styles and historical archetype record
Brady
🤖 Servebot
Mladenovic
🏃 Pusher
Matchup analysis
The 🤖 Servebot archetype wins about 68% vs 🏃 Pusher across 519 matches in our dataset. That is a small stylistic lean for Jennifer Brady 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 | Brady | Mladenovic |
|---|---|---|
| W-L | 0–1 | 0–1 |
| Avg odds | 2.19 | 1.35 |
| ROI % | -100.0% | -100.0% |
| Units P/L | -1.00u | -1.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
1
Brady
1
Mladenovic
Aug 5, 2019
Toronto
H Hard · Round of 64
May 29, 2017
Roland Garros
C Clay · Round of 128
Serve and return comparison · Last 90 days
| Stat | Brady | Mladenovic |
|---|---|---|
| Serve | ||
| 1st Serve In % | 57.5% | 0% |
| 1st Serve Pts Won % | 71.2% | 0% |
| 2nd Serve Pts Won % | 50.6% | 0% |
| Aces / Match | 1.5 | 0 |
| Double Faults / Match | 3 | 0 |
| Break Points Saved % | 62.5% | 0% |
| Return | ||
| 1st Return Pts Won % | 29.2% | 0% |
| 2nd Return Pts Won % | 27.5% | 0% |
| BP Converted % | 25% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 47.8% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Jennifer Brady and Kristina Mladenovic face off in the Round of 64 at Toronto on Hard.
Jennifer Brady leads 1-1 over 2 previous meetings.
Jennifer Brady is 1-4 over the last 5 matches. Latest result: L vs Gina Feistel (Apr 20).
Kristina Mladenovic is 1-4 over the last 5 matches. Latest result: L vs Valentina Ryser (Jun 16).
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