WTA 250 · Round of 32 · Acapulco
Final score & match stats
Playing styles and historical archetype record
Mchale
⚙️ Grinder
Watson
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,639 matches in our dataset. That is a small stylistic lean for Heather Watson 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 | Mchale | Watson |
|---|---|---|
| W-L | - | 3–2 |
| Avg odds | - | 1.87 |
| ROI % | - | +9.6% |
| Units P/L | - | +0.48u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
1
Mchale
1
Watson
Feb 24, 2020
Acapulco
H Hard · Quarterfinals
Feb 22, 2016
Acapulco
H Hard · Round of 32
Serve and return comparison · Last 90 days
| Stat | Mchale | Watson |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 60% |
| 1st Serve Pts Won % | 0% | 57.6% |
| 2nd Serve Pts Won % | 0% | 50% |
| Aces / Match | 0 | 1 |
| Double Faults / Match | 0 | 2 |
| Break Points Saved % | 0% | 33.3% |
| Return | ||
| 1st Return Pts Won % | 0% | 37.2% |
| 2nd Return Pts Won % | 0% | 44.4% |
| BP Converted % | 0% | 25% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 45.9% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Christina Mchale and Heather Watson face off in the Round of 32 at Acapulco on Hard.
Christina Mchale leads 1-1 over 2 previous meetings.
Christina Mchale is 1-4 over the last 5 matches. Latest result: L vs Sara Sorribes Tormo (Jun 27).
Heather Watson is 3-2 over the last 5 matches. Latest result: L vs Maria Timofeeva (Jun 25).
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