WTA 1000 · Round of 32 · Miami
Final score & match stats
Playing styles and historical archetype record
Garcia
🤖 Servebot
Osaka
💥 Big Hitter
Matchup analysis
🤖 Servebot vs 💥 Big Hitter is historically tight (48% vs 52%, 4,559 matches). Neither style has a clear edge, so form, surface, and H2H matter most when Caroline Garcia plays Naomi Osaka.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Garcia | Osaka |
|---|---|---|
| W-L | - | 5–3 |
| Avg odds | - | 2.80 |
| ROI % | - | +47.1% |
| Units P/L | - | +3.77u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 5 career meetings
2
Garcia
3
Osaka
Results vs. opponents both players faced · Last 12 months
Osaka has a higher win rate against shared opponents (100% vs Garcia's 0%).
| Opponent | Garcia | Osaka |
|---|---|---|
| Karolina Muchova | L 67 67 | W 64 76 |
Serve and return comparison · Last 90 days
| Stat | Garcia | Osaka |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 59.2% |
| 1st Serve Pts Won % | 0% | 68.2% |
| 2nd Serve Pts Won % | 0% | 47% |
| Aces / Match | 0 | 5 |
| Double Faults / Match | 0 | 3.1 |
| Break Points Saved % | 0% | 47% |
| Return | ||
| 1st Return Pts Won % | 0% | 39% |
| 2nd Return Pts Won % | 0% | 54.7% |
| BP Converted % | 0% | 57.6% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 52.1% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Caroline Garcia and Naomi Osaka face off in the Round of 32 at Miami on Hard.
Caroline Garcia leads 2-3 over 5 previous meetings.
Caroline Garcia is 1-4 over the last 5 matches. Latest result: L vs Kamilla Rakhimova (Aug 25).
Naomi Osaka is 4-1 over the last 5 matches. Latest result: L vs Aryna Sabalenka (Jun 1).
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