WTA 1000 · Round of 64 · Toronto
Final score & match stats
Playing styles and historical archetype record
Lucic
💥 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 Mirjana Lucic plays Karolina Pliskova.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Lucic | Pliskova |
|---|---|---|
| W-L | - | 8–3 |
| Avg odds | - | 2.14 |
| ROI % | - | +55.2% |
| Units P/L | - | +6.07u |
Prior meetings and scores · 5 career meetings
2
Lucic
3
Pliskova
Mar 20, 2017
Miami
H Hard · Quarterfinals
Jan 16, 2017
Australian Open
H Hard · Quarterfinals
Sep 28, 2015
Wuhan
H Hard · Round of 32
Aug 10, 2015
Toronto
H Hard · Round of 64
Feb 9, 2015
Antwerp
H Hard · Round of 32
Serve and return comparison · Last 90 days
| Stat | Lucic | 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
Mirjana Lucic and Karolina Pliskova face off in the Round of 64 at Toronto on Hard.
Mirjana Lucic leads 2-3 over 5 previous meetings.
Mirjana Lucic is 3-2 over the last 5 matches. Latest result: W vs Shelby Rogers (Jan 15).
Karolina Pliskova is 3-2 over the last 5 matches. Latest result: W vs Laura Siegemund (May 5).
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