WTA 500 · Round of 32 · Monterrey
Final score & match stats
Playing styles and historical archetype record
Watson
🤖 Servebot
Doi
⚙️ 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 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 | Watson | Doi |
|---|---|---|
| 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 · 1 career meeting
1
Watson
0
Doi
Serve and return comparison · Last 90 days
| Stat | Watson | Doi |
|---|---|---|
| Serve | ||
| 1st Serve In % | 60% | 0% |
| 1st Serve Pts Won % | 57.6% | 0% |
| 2nd Serve Pts Won % | 50% | 0% |
| Aces / Match | 1 | 0 |
| Double Faults / Match | 2 | 0 |
| Break Points Saved % | 33.3% | 0% |
| Return | ||
| 1st Return Pts Won % | 37.2% | 0% |
| 2nd Return Pts Won % | 44.4% | 0% |
| BP Converted % | 25% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 45.9% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Heather Watson and Misaki Doi face off in the Round of 32 at Monterrey on Hard.
Heather Watson leads 1-0 over 1 previous meeting.
Heather Watson is 3-2 over the last 5 matches. Latest result: L vs Maria Timofeeva (Jun 25).
Misaki Doi is 1-4 over the last 5 matches. Latest result: L vs Maria Sakkari (Sep 25).
Share this match
