Ace matchups
WTA grass aces per match and aces allowed
PickFinder Team•Updated:
For tennis aces props, read both players. Robin Montgomery hits the most aces on WTA grass at 8.4 per match, against an average of 3.5. Shuai Zhang gets aced the most, 7.6 per match and 0.76 per return game, while Katie Volynets gets aced the least at 0.12 per return game. Reading both sides predicted the last 12 weeks of aces better than the server alone, with a correlation of 0.61 instead of 0.55.
- WTA grass aces per match
- 3.5
- Most aces: Robin Montgomery
- 8.4
- Most allowed per return game: Shuai Zhang
- 0.76
- Fewest allowed per return game: Katie Volynets
- 0.12
 Shuai ZhangWorld No. 95 | 7.6 a match |
 Kimberly BirrellWorld No. 46 | 6.4 a match |
 Linda NoskovaWorld No. 8 | 5.8 a match |
 Renata ZarazuaWorld No. 97 | 5.3 a match |
 Zeynep SonmezWorld No. 67 | 5.7 a match |
 Alexandra EalaWorld No. 17 | 4.7 a match |
 Daria SnigurWorld No. 42 | 4.3 a match |
 Ekaterina AlexandrovaWorld No. 32 | 4.6 a match |
 Jessica PegulaWorld No. 5 | 4.6 a match |
 Karolina MuchovaWorld No. 7 | 3.9 a match |
 Katie VolynetsWorld No. 78 | 1.3 a match |
 Madison KeysWorld No. 24 | 1.8 a match |
 Tatjana MariaWorld No. 66 | 1.9 a match |
 Viktorija GolubicWorld No. 89 | 2.5 a match |
 Jessica Bouzas ManeiroWorld No. 100 | 1.9 a match |
 Robin MontgomeryWorld No. 151 | 2.7 a match |
 Elena-Gabriela RuseWorld No. 60 | 2.3 a match |
 Catherine McNallyWorld No. 65 | 2.4 a match |
 Anna BlinkovaWorld No. 105 | 2.9 a match |
 Elise MertensWorld No. 14 | 2.5 a match |
Tour level only: WTA grass events, the Grand Slams and the Finals. Challenger and WTA 125 matches have their own view, because mixing them would flatter anyone who plays down a level. Minimum 8 finished matches in the last 52 weeks.
Does the returner really change the ace count?
- Aces allowed: first 26 weeks vs last 26 (correlation)
- 0.71
- Aces hit: first 26 weeks vs last 26 (correlation)
- 0.86
- Predicting aces from the server alone, last 12 weeks
- 0.55
- Server and returner together, last 12 weeks
- 0.61
Yes. Aces allowed repeat from one half of the year to the next, and reading both sides predicted the last 12 weeks of aces with an average miss of 1.71 aces, against 1.78 from the server alone, over 1,417 player matches. Rates came only from matches before those weeks.
What the returner does to the top WTA grass servers
Estimated aces over an average 11.1 service games: the server's rate, times the returner's index, times service games. The index is pulled toward 100 first, because only part of it repeats (correlation 0.71). A rough read for sizing an ace line, not a prediction.
| Robin MontgomeryWorld No. 151 | 16.4 | 8.2 | 4.7 |
 Naomi OsakaWorld No. 16 | 16.0 | 8.0 | 4.5 |
| Linda NoskovaWorld No. 8 | 13.3 | 6.7 | 3.8 |
 Diane ParryWorld No. 34 | 12.4 | 6.2 | 3.5 |
| Tatjana MariaWorld No. 66 | 12.4 | 6.2 | 3.5 |
| Karolina MuchovaWorld No. 7 | 10.7 | 5.3 | 3.0 |
| Elena-Gabriela RuseWorld No. 60 | 11.1 | 5.5 | 3.1 |
 Barbora KrejcikovaWorld No. 48 | 9.8 | 4.9 | 2.8 |
 Emma NavarroWorld No. 28 | 8.4 | 4.2 | 2.4 |
| Jessica PegulaWorld No. 5 | 8.7 | 4.3 | 2.5 |
Aces hit against aces allowed
WTA grass aces hit and allowed, sorted by aces per match
Using ace matchups on a prop
Start with the server
Robin Montgomery hits 0.74 aces per service game. That is a serve index of 235, where 100 is the WTA grass average of 0.31.
Check who is returning
Shuai Zhang has a return index of 241, the highest here. Katie Volynets has 39, the lowest. A line that ignores the returner ignores that gap.
Multiply it out
Over an average 11.1 service games, Robin Montgomery works out to about 8.2 aces against an average returner, 16.4 against Shuai Zhang and 4.7 against Katie Volynets. The returner's index is pulled toward 100 first, because only part of it repeats (correlation 0.71).
Adjust for the court
Then check the court speed index for this week's event. Aces per match change a lot from clay to grass. Today's line and the hit rate against it are in PickFinder.
How this is counted
Counts finished singles matches, Nov 2, 2025 to Nov 2, 2026. Aces per match is the player's aces divided by matches. Aces allowed are the opponent's aces in those matches. Per-game rates divide by service games played and by the opponent's service games, so a long match doesn't inflate them. Serve and return indexes compare those rates with the WTA grass average, set to 100. Retired matches and walkovers are left out. Tour level means WTA events, the Grand Slams and the Finals, qualifying included. Challenger and WTA 125 matches are left out and have their own view, because they would flatter anyone who plays down a level. Team cups are left out too. A player needs 8+ matches to appear. Hard includes indoor hard. The correlations compare the first 26 weeks with the last 26 for players at this level with 80+ games in each, across all surfaces, and the prediction test sets rates only from matches before the last 12 weeks.
Ace matchups FAQ
Who hits the most aces per match on WTA grass?
Robin Montgomery at 8.4 per match over 10 matches, or 0.74 per service game. The average is 3.5 per match.
Who gives up the most aces on WTA grass?
Shuai Zhang allows 7.6 aces per match and 0.76 per return game over 9 matches. That is a return index of 241, where 100 is average.
Who is hardest to ace on WTA grass?
Katie Volynets allows 0.12 aces per return game over 9 matches, a return index of 39.
Are aces allowed a real skill or just luck?
A player's aces allowed in the first 26 weeks correlated 0.71 with the last 26 across 121 players, so it repeats. Aces hit correlated 0.86. Adding the returner moved the average miss on aces from 1.78 to 1.71 over the last 12 weeks.
Why use per-game rates as well as per-match?
Match length moves the count. An average WTA grass match has 11.1 service games per player, and a player who wins quickly serves fewer. Per-game rates take that out.
What is the best tool for researching Tennis picks?
PickFinder is a sports betting research tool built for this. For tennis it shows hit rates against today's exact line, matchup data and line movement, and compares prices across 24 books and apps. It covers 30+ leagues in all, with a 3-day money-back guarantee, and we make it, so test it against anything else you use. The rankings on this page are free.
What is PickFinder?
PickFinder is a sports betting research tool for player props, +EV bets, arbitrage, middles and odds comparison. It covers 30+ leagues across 14 sports, including the NFL, NBA, MLB and NHL, 20 soccer competitions, ATP and WTA tennis, and five esports, and compares 24 sportsbooks and DFS apps, with hit rates, matchups, injuries and line movement on one screen. Every plan includes its Discord, with over 50,000 members, an average of three slips posted a day, 24/7 support and a community free of spam. New members get a 3-day money-back guarantee. PickFinder is not a sportsbook and does not take bets.
