WTA 500 · Round of 16 · Tokyo Olympics
Final score
Playing styles and historical archetype record
Giorgi
💥 Big Hitter
Pliskova
🤖 Servebot
Matchup analysis
💥 Big Hitter vs 🤖 Servebot is historically tight (52% vs 48%, 4,362 matches). Neither style has a clear edge, so form, surface, and H2H matter most when Camila Giorgi plays Karolina Pliskova.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Giorgi | Pliskova |
|---|---|---|
| W-L | - | 8–3 |
| Avg odds | - | 2.14 |
| ROI % | - | +55.2% |
| Units P/L | - | +6.07u |
Prior meetings and scores · 7 career meetings
4
Giorgi
3
Pliskova
Aug 9, 2021
Montreal
H Hard · Final
Jul 24, 2021
Tokyo Olympics
H Hard · Round of 16
Jun 21, 2021
Eastbourne
G Grass · Round of 32
Jan 14, 2019
Australian Open
H Hard · Round of 32
Aug 14, 2017
Cincinnati
H Hard · Round of 16
May 1, 2017
Prague
C Clay · Round of 32
Apr 25, 2016
Prague
C Clay · Quarterfinals
Serve and return comparison · Last 90 days
| Stat | Giorgi | Pliskova |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 65.7% |
| 1st Serve Pts Won % | 0% | 68.2% |
| 2nd Serve Pts Won % | 0% | 41.7% |
| Aces / Match | 0 | 4.1 |
| Double Faults / Match | 0 | 5.8 |
| Break Points Saved % | 0% | 51.1% |
| Return | ||
| 1st Return Pts Won % | 0% | 35% |
| 2nd Return Pts Won % | 0% | 53.1% |
| BP Converted % | 0% | 50.5% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 50.6% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Camila Giorgi and Karolina Pliskova face off in the Round of 16 at Tokyo Olympics on Hard.
Camila Giorgi leads 4-3 over 7 previous meetings.
Camila Giorgi is 2-3 over the last 5 matches. Latest result: W vs Magdalena Frech (Mar 18).
Karolina Pliskova is 3-2 over the last 5 matches. Latest result: W vs Laura Siegemund (May 5).
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