WTA 250 · Round of 16 · Acapulco
Final score & match stats
Playing styles and historical archetype record
Watson
🤖 Servebot
Bondarenko
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,630 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 | Bondarenko |
|---|---|---|
| W-L | 0–1 | - |
| Avg odds | 1.62 | - |
| ROI % | -100.0% | - |
| Units P/L | -1.00u | - |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 4 career meetings
3
Watson
1
Bondarenko
Feb 24, 2020
Acapulco
H Hard · Round of 16
Oct 7, 2019
Tianjin
H Hard · Round of 32
May 21, 2018
Nurnberg
C Clay · Round of 32
May 16, 2016
Strasbourg
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Watson | Bondarenko |
|---|---|---|
| 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 Kateryna Bondarenko face off in the Round of 16 at Acapulco on Hard.
Heather Watson leads 3-1 over 4 previous meetings.
Heather Watson is 1-4 over the last 5 matches. Latest result: L vs Aoi Ito (Apr 27).
Kateryna Bondarenko is 1-4 over the last 5 matches. Latest result: L vs Lina Glushko (Aug 19).
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