Tennis Favourites the Week Before and After a Grand Slam
Do favourites wobble in the warm-up week or the hangover week either side of a Slam? Across ATP and WTA closing prices, the market mostly had them right.

- Sport
- Tennis
- Question
- Do tennis favourites win less often than priced in the week before a Grand Slam or the week after one, compared with the Slam itself and ordinary weeks?
- Sample
- ATP and WTA tour-level singles, seasons 2010-2019 and 2022-2025, 68,842 completed matches (68,730 with closing prices)
- Favourites won the week before a Slam65.4%
- Favourites won at the Slams74.8%
- Favourites won the week after a Slam67.2%
- Underdog return, week before a Slamโ3.9%
The week before a major has a reputation: top names withdraw, others coast, and favourites are said to slip. The week after carries the same story of tired legs and flat minds. I wanted to test both against closing prices, and this study sits alongside my daily tennis predictions as a calendar check on that folklore.
The headline answer is that the folklore does not survive contact with the prices. In the week before a Slam favourites were priced at 65.3% and won 65.4%. In the week after they were priced at 67.1% and won 67.2%. The window where favourites beat their prices most clearly was the Slam itself, at 74.8% won against 73.5% priced. The weakness people expect in the weeks around a major is already built into those numbers.
Window 1Warm-up and hangover weeks priced almost exactly right
Each row sets the favourite's priced chance, with the margin removed, against how often they actually won. The week before a Slam, across 5,581 matches, shows a gap of +0.1 points with a 95% range of ยฑ1.2. The week after, across 5,428 matches, comes out at 0.0. Those two dots almost sit on top of each other.
The Slam row is different. Over 13,771 matches favourites won 74.8% against 73.5% priced, a gap of +1.3 points, and the range there is tight because the sample is large. Ordinary weeks sit in between, at 68.4% won against 67.9% priced.
View the data: favourites around a grand slam
| Priced | Won | 95% range | |
|---|---|---|---|
| 2 weeks before (4,822 matches) | 68.3% | 68.9% | ยฑ1.3 |
| Week before (5,581 matches) | 65.3% | 65.4% | ยฑ1.2 |
| Grand Slam (13,771 matches) | 73.5% | 74.8% | ยฑ0.7 |
| Week after (5,428 matches) | 67.1% | 67.2% | ยฑ1.2 |
| 2nd week after (6,204 matches) | 67.1% | 67.7% | ยฑ1.2 |
| Other weeks (32,924 matches) | 67.9% | 68.4% | ยฑ0.5 |
The usual caveat applies. The week before a major often has fewer top players entered, so favourites are priced shorter elsewhere and longer here, and the chart judges each window against its own prices. Even so, gaps of one or two points remain inside the 95% ranges, so I read this as a market that is roughly right rather than one leaking value.
Window 2Underdogs lose least in the week before a Slam
Turning win rates into money, backing every favourite lost โ2.6% in the week before a Slam, โ0.9% at the Slams and โ2.5% in the week after. Backing every underdog lost โ3.9% in the week before, against โ6.8% over all matches. At the Slams themselves the underdog bet collapsed to โ12.2%.
The base rates explain why. The underdog won 34.6% of matches in the week before a Slam, which works out at fair odds of 2.89. At the majors that fell to 25.2%, with fair odds of 3.97. Best-of-five on the men's side and a deeper field of committed players leave far less room for an outsider.
View the data: flat-stake returns around the slams
| Back favourite | Back underdog | |
|---|---|---|
| 2 weeks before | โ2.1% | โ8.7% |
| Week before | โ2.6% | โ3.9% |
| Grand Slam | โ0.9% | โ12.2% |
| Week after | โ2.5% | โ2.8% |
| 2nd week after | โ1.6% | โ5.9% |
| Other weeks | โ2.0% | โ5.7% |
| All matches | โ1.8% | โ6.8% |
None of these columns shows a profit. The warm-up week is simply the window where the underdog bet hurts least, and the Slam fortnight is where backing outsiders blindly does the most damage.
Window 3Wimbledon's surrounding weeks lean slightly against favourites
Splitting the tour events by major gives the heatmap some colour. Every Wimbledon cell is negative, with the week before at โ0.6 points and the week after at โ1.3. That fits what I see on court. Grass rewards first-strike tennis and punishes anyone still moving like a clay-courter, and the swing is short enough that few players settle.
The extremes sit on either side of the calendar. The weakest window was the second week after Roland Garros at โ1.8 points across 1,623 matches, when the tour is mid-change from clay to grass. The strongest was the second week after the US Open at +2.2 points across 1,673 matches. The Australian Open row is positive throughout.
Smallest cell: 889 matches; a week can sit in two Slam windows here.
View the data: favourite gap by slam and week
| 2 wks before | Week before | Week after | 2nd wk after | |
|---|---|---|---|---|
| Australian Open | 0.9 pts | 0.7 pts | 1.1 pts | 2 pts |
| Roland Garros | 0.7 pts | โ0.5 pts | 1 pts | โ1.8 pts |
| Wimbledon | โ0.9 pts | โ0.6 pts | โ1.3 pts | โ0.4 pts |
| US Open | โ0.2 pts | 1.1 pts | โ0.2 pts | 2.2 pts |
These cells are smaller, the smallest at 889 matches, and a week can sit in two Slam windows here. I treat the Wimbledon pattern as a lean worth watching, not a rule.
Window 4ATP and WTA split the warm-up week differently
The tour split is where the two sides part. ATP favourites won 64.7% in the week before a Slam against 65.0% priced, and 66.9% in the week after against 67.3%. Both are small shortfalls. WTA favourites ran the other way, winning 66.1% against 65.6% before and 67.4% against 67.0% after.
The underdog returns follow suit. Backing ATP underdogs lost โ2.3% in the week before, and the ATP week after shows the only positive figure in the table at +0.9%. Backing WTA underdogs lost โ5.4% in the week before and โ5.8% in the week after, close to their ordinary-week rate.
| Window | Matches | Priced | Won | Gap | Dog return |
|---|---|---|---|---|---|
| ATP ยท Week before | 2,740 | 65.0% | 64.7% | โ0.3 | โ2.3% |
| ATP ยท Week after | 2,423 | 67.3% | 66.9% | โ0.4 | +0.9% |
| ATP ยท Other weeks | 17,802 | 68.3% | 69.0% | +0.7 | โ6.0% |
| WTA ยท Week before | 2,841 | 65.6% | 66.1% | +0.5 | โ5.4% |
| WTA ยท Week after | 3,005 | 67.0% | 67.4% | +0.4 | โ5.8% |
| WTA ยท Other weeks | 15,122 | 67.5% | 67.7% | +0.2 | โ5.4% |
My reading is that some men use the week either side of a major as maintenance rather than a title push, and the price does not quite catch it. The edge is thin and inside the noise, so I would use it to shape a shortlist, not to back every ATP outsider.
Best window
- Trust warm-up week prices
Favourites won 65.4% against 65.3% priced in the week before a Slam, so a weakened field is already in the price. Fading favourites on reputation alone adds nothing.
- Avoid blanket Slam underdogs
Backing every underdog at the majors returned โ12.2%, the worst figure in the study. Back an outsider at a Slam only when the surface and the draw give you a specific reason.
- Watch ATP hangover weeks
ATP favourites ran โ0.4 points in the week after a Slam, and underdogs returned +0.9%. Look closely at men coming off deep Slam runs, especially when the next event is on a new surface.
Questions bettors ask
Do tennis favourites lose more often the week before a Grand Slam?
Not against their prices. Favourites won 65.4% in the week before a Slam against 65.3% priced, a gap of just +0.1 points. They win less often than in ordinary weeks, but the market already prices that in.
Is it profitable to back underdogs the week before a Slam?
Not on a flat-stake basis. Backing every underdog returned โ3.9% in that week, which is better than โ6.8% across all matches but still a loss.
Do favourites do better at the Grand Slams themselves?
Yes. Favourites won 74.8% at the Slams against 73.5% priced, and backing every favourite lost only โ0.9%, the smallest loss of any window in the study.
