WTA 1000 · Round of 16 · Guadalajara
Final score & match stats
Playing styles and historical archetype record
Maria
🤖 Servebot
Marino
🤖 Servebot
Matchup analysis
Both Tatjana Maria and Rebecca Marino are 🤖 Servebot types. Mirror matchups usually come down to execution, fitness, and surface fit. Across 360 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 | Maria | Marino |
|---|---|---|
| W-L | 4–5 | - |
| Avg odds | 2.45 | - |
| ROI % | -24.3% | - |
| Units P/L | -2.19u | - |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
1
Maria
1
Marino
Results vs. opponents both players faced · Last 12 months
Across 3 shared opponents, both Maria and Marino posted a 33% win rate.
| Opponent | Maria | Marino |
|---|---|---|
| Elsa Jacquemot | W 64 63 | W 76 61 |
| Emma Navarro | L 57 16 | L 16 26 |
| Leylah Fernandez | L 06 67 | L 26 16 |
Serve and return comparison · Last 90 days
| Stat | Maria | Marino |
|---|---|---|
| Serve | ||
| 1st Serve In % | 57.8% | 0% |
| 1st Serve Pts Won % | 64.5% | 0% |
| 2nd Serve Pts Won % | 43.6% | 0% |
| Aces / Match | 4.5 | 0 |
| Double Faults / Match | 2.1 | 0 |
| Break Points Saved % | 52.5% | 0% |
| Return | ||
| 1st Return Pts Won % | 34.8% | 0% |
| 2nd Return Pts Won % | 56.6% | 0% |
| BP Converted % | 53.2% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 48.7% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Tatjana Maria and Rebecca Marino face off in the Round of 16 at Guadalajara on Hard.
Tatjana Maria leads 1-1 over 2 previous meetings.
Tatjana Maria is 2-3 over the last 5 matches. Latest result: W vs Diae El Jardi (May 18).
Rebecca Marino is 2-3 over the last 5 matches. Latest result: L vs Tatjana Maria (Sep 8).
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