Grand Slam · Round of 128 · Australian Open
Final score & match stats
Playing styles and historical archetype record
Maria
🤖 Servebot
Govortsova
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,639 matches in our dataset. That is a small stylistic lean for Tatjana Maria here.
Servebot players often use high ace rate and dominant service to pressure the grinder's relentless consistency. 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 | Maria | Govortsova |
|---|---|---|
| W-L | 14–12 | 0–1 |
| Avg odds | 3.01 | 8.14 |
| ROI % | -4.7% | -100.0% |
| Units P/L | -1.23u | -1.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
2
Maria
0
Govortsova
Sep 23, 2019
Tashkent
H Hard · Round of 32
Jan 18, 2016
Australian Open
H Hard · Round of 128
Serve and return comparison · Last 90 days
| Stat | Maria | Govortsova |
|---|---|---|
| Serve | ||
| 1st Serve In % | 57.9% | 61.8% |
| 1st Serve Pts Won % | 65.6% | 38.1% |
| 2nd Serve Pts Won % | 44% | 15.4% |
| Aces / Match | 4.7 | 0 |
| Double Faults / Match | 1.9 | 3 |
| Break Points Saved % | 51.9% | 25% |
| Return | ||
| 1st Return Pts Won % | 36.8% | 22.2% |
| 2nd Return Pts Won % | 59% | 45.5% |
| BP Converted % | 47.7% | 25% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 49.8% | 29.2% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Tatjana Maria and Olga Govortsova face off in the Round of 128 at Australian Open on Hard.
Tatjana Maria leads 2-0 over 2 previous meetings.
Tatjana Maria is 4-1 over the last 5 matches. Latest result: W vs Tereza Valentova (Jun 25).
Olga Govortsova is 0-5 over the last 5 matches. Latest result: L vs Mary Stoiana (Apr 27).
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