ATP Masters 1000 · Round of 128 · ATP Masters 1000 Miami
Final score & match stats
Playing styles and historical archetype record
Popyrin
🤖 Servebot
Acosta
⚔️ The Gladiator
Matchup analysis
The 🤖 Servebot archetype wins about 61% vs ⚔️ The Gladiator across 2,027 matches in our dataset. That is a small stylistic lean for Alexei Popyrin 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 | Popyrin | Acosta |
|---|---|---|
| W-L | 5–7 | 17–3 |
| Avg odds | 3.37 | 1.56 |
| ROI % | -13.2% | +18.8% |
| Units P/L | -1.58u | +3.76u |
Prior meetings and scores · 1 career meeting
1
Popyrin
0
Acosta
Serve and return comparison · Last 90 days
| Stat | Popyrin | Acosta |
|---|---|---|
| Serve | ||
| 1st Serve In % | 61.5% | 66.1% |
| 1st Serve Pts Won % | 74.5% | 64.8% |
| 2nd Serve Pts Won % | 53.4% | 50.1% |
| Aces / Match | 6.3 | 3.2 |
| Double Faults / Match | 2.9 | 1.4 |
| Break Points Saved % | 61.1% | 45.4% |
| Return | ||
| 1st Return Pts Won % | 24.9% | 32.6% |
| 2nd Return Pts Won % | 42.7% | 55.1% |
| BP Converted % | 35.4% | 47.9% |
| Rally | ||
| Winners / Match | 22.3 | 22.5 |
| Unforced Errors / Match | 22.6 | 30.3 |
| Net Pts Won % | 72.6% | 80.3% |
| Total Pts Won % | 49.6% | 50.1% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Alexei Popyrin and Facundo Diaz Acosta face off in the Round of 128 at ATP Masters 1000 Miami on Hard.
Alexei Popyrin leads 1-0 over 1 previous meeting.
Alexei Popyrin is 1-4 over the last 5 matches. Latest result: L vs Jan Choinski (Jun 22).
Facundo Diaz Acosta is 4-1 over the last 5 matches. Latest result: L vs Gustavo Heide (Jun 19).
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