Grand Slam · Round of 128 · Australian Open
Final score & match stats
Playing styles and historical archetype record
Pegula
👑 The Complete Package
Marino
🤖 Servebot
Matchup analysis
The 👑 The Complete Package archetype wins about 59% vs 🤖 Servebot across 2,242 matches in our dataset. That is a small stylistic lean for Jessica Pegula here.
The Complete Package players often use elite serve & return and high bp conversion to pressure the servebot's high ace rate. 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 | Pegula | Marino |
|---|---|---|
| W-L | 12–6 | - |
| Avg odds | 1.51 | - |
| ROI % | -5.5% | - |
| Units P/L | -0.99u | - |
Prior meetings and scores · 1 career meeting
1
Pegula
0
Marino
Results vs. opponents both players faced · Last 12 months
Pegula has a higher win rate against shared opponents (100% vs Marino's 0%).
| Opponent | Pegula | Marino |
|---|---|---|
| Leylah Fernandez | W 62 62 | L 26 16 |
| Emma Navarro | W 67 62 61 | L 16 26 |
Serve and return comparison · Last 90 days
| Stat | Pegula | Marino |
|---|---|---|
| Serve | ||
| 1st Serve In % | 63.9% | 0% |
| 1st Serve Pts Won % | 69.6% | 0% |
| 2nd Serve Pts Won % | 50.3% | 0% |
| Aces / Match | 2.6 | 0 |
| Double Faults / Match | 1.5 | 0 |
| Break Points Saved % | 65.2% | 0% |
| Return | ||
| 1st Return Pts Won % | 40.5% | 0% |
| 2nd Return Pts Won % | 53.4% | 0% |
| BP Converted % | 39.5% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 53.5% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Jessica Pegula and Rebecca Marino face off in the Round of 128 at Australian Open on Hard.
Jessica Pegula leads 1-0 over 1 previous meeting.
Jessica Pegula is 3-2 over the last 5 matches. Latest result: L vs Linda Noskova (Jun 21).
Rebecca Marino is 2-3 over the last 5 matches. Latest result: W vs Martina Trevisan (Sep 8).
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