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Tennis · Data study

Tennis Favourites by Surface: Clay, Grass and Hard Court Win Rates

Across 92,712 tour-level matches, surface barely moves the favourite's win rate, except on men's grass. The closing price tracks it remarkably well.

Tennis Favourites by Surface: Clay, Grass and Hard Court Win Rates
69.7%ATP favourites won on clay
71.8%ATP favourites won on grass
68.6%WTA favourites won on grass
−8.4%return backing every ATP grass underdog

Every season the same question comes back to me as the tour moves from hard courts to clay to grass: does the surface change how reliable the favourite is? Instinct says yes, because grass rewards the big serve and clay rewards patience. So I took 92,712 completed ATP and WTA singles matches with sharp-bookmaker closing odds and checked how often the favourite actually won on each surface.

The answer is less dramatic than instinct suggests. On the ATP side, favourites won 69.8% on hard courts and 69.7% on clay. Grass is where the men's tour pulls away, with favourites winning 71.8%, while WTA grass favourites came in slightly lower at 68.6%. The more striking finding is how closely the market priced all of it, and that is the backdrop to my today's tennis predictions page.

Sharp closing prices track favourite win rates on every surface

This chart sets the price against the result. For each surface, one dot is the favourite's win chance implied by the sharp-bookmaker closing price with the margin removed, and the other is what favourites actually delivered. ATP clay favourites were priced at 68.9% and won 69.7%, and on hard courts it was 69.3% priced against 69.8% won. The gaps are small and mostly lean the favourite's way.

ATP grass stands out, priced at 70.4% and winning 71.8% across 5,918 matches. WTA grass is the only row where favourites fell short of their price, at 68.8% priced against 68.6% won.

Priced vs delivered on each surfaceFavourite win rate, margin-removed sharp-bookmaker price vs actual
Priced (margin removed)Actually won95% range
ATP Hard28,631 matches
69.3% → 69.8% +0.5
ATP Clay16,501 matches
68.9% → 69.7% +0.8
ATP Grass5,918 matches
70.4% → 71.8% +1.4
ATP Carpet945 matches (to 2008)
68.5% → 69.1% +0.6
WTA Hard24,818 matches
68.4% → 69.2% +0.8
WTA Clay11,211 matches
68.5% → 69.1% +0.6
WTA Grass4,531 matches
68.8% → 68.6% −0.2
60%65%70%75%80%
View the data: priced vs delivered on each surface
Priced (margin removed)Actually won95% range
ATP Hard (28,631 matches)69.3%69.8%±0.5
ATP Clay (16,501 matches)68.9%69.7%±0.7
ATP Grass (5,918 matches)70.4%71.8%±1.1
ATP Carpet (945 matches (to 2008))68.5%69.1%±2.9
WTA Hard (24,818 matches)68.4%69.2%±0.6
WTA Clay (11,211 matches)68.5%69.1%±0.9
WTA Grass (4,531 matches)68.8%68.6%±1.4

Here is the caveat I would attach to every grass figure. The grass season is short, so its samples are several times smaller than the hard-court ones. The 95% range on WTA grass is ±1.4, which is wide enough to swallow most of that gap. I read the grass rows as a lean, not a verdict.

Price bands matter far more than the surface underneath

Breaking favourites down by price shows where any surface effect actually lives. At the very short end there is almost no difference: ATP favourites under 1.15 won 92.3% on clay and 92.5% on grass. A player that heavily backed usually wins whatever the surface.

The middle of the table is where I look harder. ATP favourites priced 1.70-1.89 won 55.6% on clay and 54.9% on grass, and in that band the favourite is often only marginally better on paper. Clay's longer rallies give the stronger player more points to prove it, which fits with clay holding up in the near coin-flip rows.

Favourite win rate by price and surfaceShare of matches won by the favourite
ATP Hard
ATP Clay
ATP Grass
WTA Hard
WTA Clay
WTA Grass
Under 1.15
92.8%
92.3%
92.5%
92.3%
93.9%
91.1%
1.15-1.29
81.4%
81.8%
80.4%
81.2%
80.9%
80.5%
1.30-1.49
71.2%
71.1%
74.4%
71.2%
71.4%
69.5%
1.50-1.69
60.7%
60.6%
61.8%
62.2%
60.2%
61.8%
1.70-1.89
53.3%
55.6%
54.9%
53.4%
53.7%
52.1%
1.90-2.00
49.9%
53.7%
51.1%
51.9%
50.3%
48.8%

Smallest cell: 123 matches.

View the data: favourite win rate by price and surface
ATP HardATP ClayATP GrassWTA HardWTA ClayWTA Grass
Under 1.1592.8%92.3%92.5%92.3%93.9%91.1%
1.15-1.2981.4%81.8%80.4%81.2%80.9%80.5%
1.30-1.4971.2%71.1%74.4%71.2%71.4%69.5%
1.50-1.6960.7%60.6%61.8%62.2%60.2%61.8%
1.70-1.8953.3%55.6%54.9%53.4%53.7%52.1%
1.90-2.0049.9%53.7%51.1%51.9%50.3%48.8%

The smallest cell holds 123 matches, so individual cells can wobble. I trust the pattern running down the rows more than any single number.

Men's grass produces short-priced favourites more often than elsewhere

This chart counts how often the market was confident enough to price a favourite under 1.30. That happened in 34.4% of ATP grass matches, compared with 29.4% on ATP clay. On the women's side the surfaces sit closer together, with WTA hard at 28.5% and WTA clay at 29.5%.

That matches what I see on court. A dominant server on grass can get through a match without facing a break point, and the market knows it. The gulf between a top seed and a qualifier gets priced more aggressively.

How often the market is confidentShare of matches with a favourite priced under 1.30
ATP Hard
30.9%
ATP Clay
29.4%
ATP Grass
34.4%
WTA Hard
28.5%
WTA Clay
29.5%
WTA Grass
29.8%
View the data: how often the market is confident
Share of matches with a favourite priced under 1.30
ATP Hard30.9%
ATP Clay29.4%
ATP Grass34.4%
WTA Hard28.5%
WTA Clay29.5%
WTA Grass29.8%

For correct-score bettors this matters. More lopsided grass pricing means more matches where the real question is the scoreline rather than the winner.

Flat-stake returns from backing favourites on each surface

Finally, the money. Backing every favourite at sharp closing odds lost on every surface, but by quite different amounts. ATP grass came closest to break-even at −0.3%, while ATP clay returned −1.2% and ATP hard −1.9%. The WTA picture runs the other way, with grass the weakest at −3.0%.

The underdog side is harsher. Backing every ATP grass underdog returned −8.4%, and every ATP clay underdog returned −7.5%. Backing the outsider by default has been an expensive habit.

Backing favourites by surfaceFlat-stake return on every favourite at sharp-bookmaker closing odds
ATPWTA
Hard
−1.9% / −1.4%
Clay
−1.2% / −1.9%
Grass
−0.3% / −3.0%
−5.0%0+5.0%
View the data: backing favourites by surface
ATPWTA
Hard−1.9%−1.4%
Clay−1.2%−1.9%
Grass−0.3%−3.0%

None of this is a system. It is a historical record of where the closing price has been slightly too generous or too stingy. I use it as a filter: on men's grass, I am slow to oppose a favourite just because the price looks short.

What I take from this

  1. Surface moves less than expected. Hard and clay favourites win at almost identical rates on both tours. The surface story is narrower than the folklore.
  2. Respect men's grass favourites. ATP grass favourites beat their price, winning 71.8% against 70.4% priced. Opposing them blindly returned −8.4% on the underdog side.
  3. Price band beats surface. Short favourites win at similar rates everywhere, above 92% under 1.15. The surface reads I trust most are in the closer bands, where clay held up at 55.6% in the 1.70-1.89 range.
Looking for today's Tennis selections?The same data-first approach runs through our daily page.
Tennis betting tips →

Questions from readers

Do tennis favourites win more often on grass or clay?

On the ATP tour, favourites won 71.8% on grass against 69.7% on clay. On the WTA tour it runs slightly the other way, with 68.6% on grass and 69.1% on clay.

Is backing every tennis favourite profitable?

Not historically. Flat-staking every favourite at sharp closing odds lost money on every surface, from −0.3% on ATP grass to −3.0% on WTA grass.

Are tennis underdogs good value on grass?

The record says no on the men's side. Backing every ATP grass underdog returned −8.4%, worse than the −7.5% from ATP clay underdogs.

Camille Hoffmann
About the authorCamille Hoffmann

I'm Camille Hoffmann, based in Luxembourg City, and I write the tennis correct-score tips at htftpredictions.com — where surface and scheduling outweigh the rankings.

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