WTA cheat sheet
The WTA cheat sheet lists 19 research rows across 4 sheets for the next scheduled matches, as of October 30, 2026 at 10:46 PM ET. Each sheet states its qualifying rule; every figure comes from stored results, with its sample. Top row: Bianca Andreescu, Won 9 of last 10 matches.
On this page
Recent form
Players in scheduled matches who won 70% or more of their last 10 played matches (at least 3; walkovers excluded).
| Player | Matchup | What the record shows | Sample |
|---|---|---|---|
| Bianca Andreescu | vs Alicia Herrero Linana · Quarterfinals · QUERETARO 125 | Last 10: Won 9 of last 10 matches Clay: 6-5 on clay (12 months) Alicia Herrero Linana: Opponent won 8 of last 10 | 9 of 10 (90%) |
| Kaitlin Quevedo | vs Lilli Tagger · Semifinals · GUANGZHOU | Last 10: Won 9 of last 10 matches Hard: 18-8 on hard (12 months) Lilli Tagger: Opponent won 6 of last 10 | 9 of 10 (90%) |
| Harriet Dart | vs Xinran Sun · Semifinals · GUANGZHOU | Last 10: Won 9 of last 10 matches Hard: 20-8 on hard (12 months) Xinran Sun: Opponent won 6 of last 8 | 9 of 10 (90%) |
| Julia Grabher | vs Julia Riera · Semifinals · CURITIBA 125 | Last 10: Won 8 of last 10 matches Clay: 19-9 on clay (12 months) Julia Riera: Opponent won 6 of last 10 | 8 of 10 (80%) |
| Mia Pohankova | vs Diana Shnaider · Semifinals · TOKYO | Last 10: Won 8 of last 10 matches Hard: 12-4 on hard (12 months) Diana Shnaider: Opponent won 8 of last 10 | 8 of 10 (80%) |
Recent form: the full sheet in StatsNext: every qualifying row, with current sportsbook lines and hit rates against them where the sheet uses them (the top 5 rows free, every row with StatsNext Pro)
Surface form
Players who won 70% or more of their matches on this tournament’s surface over the last 12 months (at least 3).
| Player | Matchup | What the record shows | Sample |
|---|---|---|---|
| Harriet Dart | vs Xinran Sun · Semifinals · GUANGZHOU | Hard: Won 20 of 28 on hard (12 months) Xinran Sun: Opponent 5-1 on hard | 20 of 28 (71%) |
| Mia Pohankova | vs Diana Shnaider · Semifinals · TOKYO | Hard: Won 12 of 16 on hard (12 months) Diana Shnaider: Opponent 26-14 on hard | 12 of 16 (75%) |
| Xinran Sun | vs Harriet Dart · Semifinals · GUANGZHOU | Hard: Won 5 of 6 on hard (12 months) Harriet Dart: Opponent 20-8 on hard | 5 of 6 (83%) |
| Nauhany Vitoria Leme Da Silva | vs Alice Tubello · Semifinals · CURITIBA 125 | Clay: Won 3 of 4 on clay (12 months) Alice Tubello: Opponent 11-9 on clay | 3 of 4 (75%) |
Surface form: the full sheet in StatsNext: every qualifying row, with current sportsbook lines and hit rates against them where the sheet uses them (the top 5 rows free, every row with StatsNext Pro)
Head-to-head
Scheduled matches whose players have met at least twice (every stored meeting; walkovers excluded): who leads the meetings.
Head-to-head: the full sheet in StatsNext: every qualifying row, with current sportsbook lines and hit rates against them where the sheet uses them (the top 5 rows free, every row with StatsNext Pro)
Serve strength
Players whose service points won, averaged over their last 10 matches with stats, is 3 or more points above their opponent’s (at least 3 matches each).
| Player | Matchup | What the record shows |
|---|---|---|
| Emerson Jones | vs Heather Watson · Qualifying · HONG KONG | Service points won: 62.3% avg over 10 matches · opponent 55% (10) First serve won: 66.3% · 2.3 aces per match |
| Bianca Andreescu | vs Alicia Herrero Linana · Quarterfinals · QUERETARO 125 | Service points won: 64.6% avg over 10 matches · opponent 58.3% (10) First serve won: 69.9% · 3.2 aces per match |
| Alice Tubello | vs Nauhany Vitoria Leme Da Silva · Semifinals · CURITIBA 125 | Service points won: 59% avg over 10 matches · opponent 50% (6) First serve won: 62.2% · 0.7 aces per match |
| Julia Grabher | vs Julia Riera · Semifinals · CURITIBA 125 | Service points won: 58.6% avg over 10 matches · opponent 53.3% (10) First serve won: 63.7% · 0.9 aces per match |
| Leylah Fernandez | vs Kamilla Rakhimova · Semifinals · TOKYO | Service points won: 58.7% avg over 10 matches · opponent 54% (10) First serve won: 64.7% · 2.5 aces per match |
Serve strength: the full sheet in StatsNext: every qualifying row, with current sportsbook lines and hit rates against them where the sheet uses them (the top 5 rows free, every row with StatsNext Pro)
Return strength
Players whose return points won, averaged over their last 10 matches with stats, is 3 or more points above their opponent’s (at least 3 matches each).
| Player | Matchup | What the record shows |
|---|---|---|
| Emerson Jones | vs Heather Watson · Qualifying · HONG KONG | Return points won: 47.3% avg over 10 matches · opponent 39.3% (10) Break points converted: 48.1% (match average) |
| Aliona Falei | vs Ekaterina Yashina · Qualifying · CHENNAI | Return points won: 47.3% avg over 10 matches · opponent 39.5% (9) Break points converted: 38.1% (match average) |
| Anna Blinkova | vs Noma Noha Akugue · Semifinals · COURMAYEUR 125 | Return points won: 47.8% avg over 10 matches · opponent 42.3% (10) Break points converted: 59% (match average) |
| Harriet Dart | vs Xinran Sun · Semifinals · GUANGZHOU | Return points won: 51.7% avg over 10 matches · opponent 45.6% (8) Break points converted: 59.3% (match average) |
| Kaitlin Quevedo | vs Lilli Tagger · Semifinals · GUANGZHOU | Return points won: 45.7% avg over 10 matches · opponent 42% (10) Break points converted: 49.9% (match average) |
Return strength: the full sheet in StatsNext: every qualifying row, with current sportsbook lines and hit rates against them where the sheet uses them (the top 5 rows free, every row with StatsNext Pro)
How these cheat sheets work
- Every figure is from stored matches: statistics, never sportsbook lines, odds or prices. Player thresholds are statistical: each player’s featured threshold, the one nearest the player’s usual output, as on the player’s prop research page.
- Player rows are ordered by the lower bound of a 95% confidence interval on the hit rate, so a long record ranks above a short one at the same percentage; a small sample is marked.
- The sheets describe what already happened. They are not predictions, picks or value estimates, and a high past rate does not make a bet likely to win.
- The page is rebuilt with each daily research refresh; rows for matches that have started drop off at the next refresh.
This page shows statistics and results only. It contains no sportsbook prices or betting lines. Current markets, hit rates against the line and StatsNext research are in the app.