WTA 1000 · Round of 64 · Miami
Final score & match stats
Playing styles and historical archetype record
Pliskova
🤖 Servebot
Brengle
⚔️ The Gladiator
Matchup analysis
The 🤖 Servebot archetype wins about 54% vs ⚔️ The Gladiator across 897 matches in our dataset. That is a small stylistic lean for Karolina Pliskova here.
Servebot players often use high ace rate and dominant service to pressure the the gladiator's physical intensity. 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 | Pliskova | Brengle |
|---|---|---|
| W-L | 11–5 | 18–7 |
| Avg odds | 2.05 | 1.70 |
| ROI % | +39.8% | +13.2% |
| Units P/L | +6.36u | +3.31u |
Prior meetings and scores · 3 career meetings
3
Pliskova
0
Brengle
May 27, 2019
Roland Garros
C Clay · Round of 128
Jan 14, 2019
Australian Open
H Hard · Round of 64
Mar 20, 2017
Miami
H Hard · Round of 64
Serve and return comparison · Last 90 days
| Stat | Pliskova | Brengle |
|---|---|---|
| Serve | ||
| 1st Serve In % | 65.7% | 78.3% |
| 1st Serve Pts Won % | 68.2% | 54.8% |
| 2nd Serve Pts Won % | 41.7% | 45.3% |
| Aces / Match | 4.1 | 0 |
| Double Faults / Match | 5.8 | 3.1 |
| Break Points Saved % | 51.1% | 47.7% |
| Return | ||
| 1st Return Pts Won % | 35% | 49.9% |
| 2nd Return Pts Won % | 53.1% | 62% |
| BP Converted % | 50.5% | 61.9% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 50.6% | 53.3% |
| Surface (Hard) | ||
| Hard Win % | 0% | 75% |
Last five matches per player
Matchup overview
Karolina Pliskova and Madison Brengle face off in the Round of 64 at Miami on Hard.
Karolina Pliskova leads 3-0 over 3 previous meetings.
Karolina Pliskova is 3-2 over the last 5 matches. Latest result: L vs Marie Bouzkova (Jun 20).
Madison Brengle is 4-1 over the last 5 matches. Latest result: W vs Ekaterina Khayrutdinova (Jun 25).
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