WTA 1000 · Round of 32 · Madrid
Final score & match stats
Playing styles and historical archetype record
Garcia
🤖 Servebot
Pliskova
🤖 Servebot
Matchup analysis
Both Caroline Garcia and Karolina Pliskova are 🤖 Servebot types. Mirror matchups usually come down to execution, fitness, and surface fit. Across 3,172 matches in our dataset, the historical split is about even.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Garcia | Pliskova |
|---|---|---|
| W-L | - | 8–3 |
| Avg odds | - | 2.14 |
| ROI % | - | +55.2% |
| Units P/L | - | +6.07u |
Prior meetings and scores · 6 career meetings
4
Garcia
2
Pliskova
Aug 31, 2020
Us Open
H Hard · Round of 64
Oct 8, 2018
Tianjin
H Hard · Final
May 29, 2017
Roland Garros
C Clay · Quarterfinals
Feb 13, 2017
Doha
H Hard · Round of 16
Nov 12, 2016
Fed Cup WG F: CZE vs FRA
H Hard · Round Robin
May 4, 2015
Madrid
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Garcia | 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 (Clay) | ||
| Clay Win % | 0% | 75% |
Last five matches per player
Matchup overview
Caroline Garcia and Karolina Pliskova face off in the Round of 32 at Madrid on Clay.
Caroline Garcia leads 4-2 over 6 previous meetings.
Caroline Garcia is 2-3 over the last 5 matches. Latest result: L vs Kamilla Rakhimova (Aug 25).
Karolina Pliskova is 3-2 over the last 5 matches. Latest result: W vs Laura Siegemund (May 5).
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