HTFT TipsTips & sports data
๐Ÿ” Login ๐Ÿ‘‘ VIP Access

โšฝ Free tips Updated daily

๐Ÿ‘‘ VIP bet tips

๐Ÿฅ‡ Join VIP Gold on Patreon

๐Ÿ“Š Scores & standings

Interval Report/Tennis

Losing the First Set 6-0 vs 7-6: Who Hits Back in the Second Set?

Losing the first set is one thing. How you lose it tells you far more about the second, and a close tiebreak defeat leaves the door noticeably wider open than a bagel.

Sophie LaurentWritten by Tennis Predictions specialist
Losing the First Set 6-0 vs 7-6: Who Hits Back in the Second Set?
Checkpoint
Set by set
Question
After losing the first set, how often does a player win the second set, and does the first-set score (6-0 up to 7-6) change that?
Sample
ATP 2000-2026 and WTA 2007-2026 tour-level singles (results to September 2026); 114,493 completed matches with complete set scores
ScoreboardSet by set

When a player drops the opening set, the scoreboard shows a deficit, but the number of games inside that set says more. I wanted to know whether a 6-0 thrashing and a 7-6 heartbreak lead to different second sets. I bring the same habit to my free tennis predictions page: read the texture of the score before the ranking.

Across 114,493 completed tour-level matches, the player who lost set 1 won set 2 34.5% of the time. That figure swings hard with the first-set score, from 22.4% after a 6-0 to 41.0% after a lost tiebreak. Pre-match status shifts it even more than the score does.

Break 1Closer first sets produce stronger second-set replies

This chart lines up the second-set reply rate against each first-set scoreline. The slope is steady. After a 6-0 the beaten player came back to win set 2 just 22.4% of the time, from 3,620 matches with a 95% range of ยฑ1.4 points. That climbs to 27.3% after 6-1 and 37.7% after 6-4.

The tiebreak row stands out at 41.0%, from 17,975 matches. In fair-price terms, the set-1 loser's second set is worth 2.90 overall, 4.46 after a bagel and 2.44 after a lost tiebreak. That gap matters if you are pricing a live set market.

Set-1 loser wins set 2, by set-1 scoreAll formats; % of matches
Lost set 1 0-6
22.4%
Lost set 1 1-6
27.3%
Lost set 1 2-6
29.7%
Lost set 1 3-6
34.1%
Lost set 1 4-6
37.7%
Lost set 1 5-7
35.8%
Lost set 1 6-7
41.0%
View the data: set-1 loser wins set 2, by set-1 score
All formats; % of matches
Lost set 1 0-622.4%
Lost set 1 1-627.3%
Lost set 1 2-629.7%
Lost set 1 3-634.1%
Lost set 1 4-637.7%
Lost set 1 5-735.8%
Lost set 1 6-741.0%

What I take from it: the margin of a set measures dominance on that day, on that court. A 6-0 rarely happens by accident. A tiebreak is often decided by a handful of points that could have gone either way.

Break 2Bagels tend to repeat, tiebreaks tend to stay tight

The heatmap splits the second set into six outcomes, so you can see how the reply arrives as well as whether it does. After a 6-0 opener, 36.3% of second sets went the same way by 6-0 to 6-2 again. The beaten player won set 2 by that kind of margin only 5.3% of the time.

Read the bottom row and the shape changes. After a 7-6 first set, 26.7% of second sets were also decided 7-5 or 7-6. Close matches stay close, and the one-sided outcomes in either direction thin out.

Set 2 for the player who lost set 1Rows: set-1 score; cells: % of set-2 results
Won 6-0 to 6-2
Won 6-3/6-4
Won 7-5/7-6
Lost 7-5/7-6
Lost 6-3/6-4
Lost 6-0 to 6-2
Lost set 1 0-6
5.3%
10.6%
6.5%
10.9%
30.5%
36.3%
Lost set 1 1-6
6.1%
13.4%
7.8%
12.2%
29.9%
30.6%
Lost set 1 2-6
7.1%
14.3%
8.3%
12.9%
29.0%
28.4%
Lost set 1 3-6
7.9%
16.5%
9.7%
13.2%
29.1%
23.5%
Lost set 1 4-6
9.4%
18.0%
10.4%
13.6%
27.6%
21.0%
Lost set 1 5-7
9.0%
17.0%
9.8%
13.1%
28.6%
22.5%
Lost set 1 6-7
9.3%
19.6%
12.1%
14.6%
27.2%
17.2%

Read across: e.g. row "Lost set 1 0-6" = player who lost the first set 6-0.

View the data: set 2 for the player who lost set 1
Won 6-0 to 6-2Won 6-3/6-4Won 7-5/7-6Lost 7-5/7-6Lost 6-3/6-4Lost 6-0 to 6-2
Lost set 1 0-65.3%10.6%6.5%10.9%30.5%36.3%
Lost set 1 1-66.1%13.4%7.8%12.2%29.9%30.6%
Lost set 1 2-67.1%14.3%8.3%12.9%29.0%28.4%
Lost set 1 3-67.9%16.5%9.7%13.2%29.1%23.5%
Lost set 1 4-69.4%18.0%10.4%13.6%27.6%21.0%
Lost set 1 5-79.0%17.0%9.8%13.1%28.6%22.5%
Lost set 1 6-79.3%19.6%12.1%14.6%27.2%17.2%

For anyone looking at game handicaps or totals at the break, the grid is the useful one. A lopsided opener points towards a short second set. A tiebreak points towards another long one.

Break 3Favourites who drop set 1 still win set 2 half the time

This is the chart I would print out. When the set-1 loser was the pre-match favourite it won set 2 50.2% of the time across 32,226 matches. When it was the underdog, the rate fell to 25.9% across 60,394 matches. Losing the opener is a far smaller setback for the stronger player than the scoreboard suggests.

Each first-set score shows the same gap. A favourite that lost 6-4 won set 2 52.4% of the time, against 27.8% for an underdog. Even after a 6-0, favourites replied 43.4% of the time, from 603 matches, while underdogs managed just 16.1%.

Set-2 reply: underdog vs favouriteSet-1 loser wins set 2, by set-1 score (priced matches)
Set-1 loser was underdogSet-1 loser was favourite
Lost 0-62,372 / 603
16.1% โ†’ 43.4% +27.3
Lost 1-67,159 / 2,396
21.6% โ†’ 44.7% +23.1
Lost 2-610,052 / 4,196
22.3% โ†’ 47.1% +24.8
Lost 3-614,239 / 7,007
26.2% โ†’ 49.5% +23.3
Lost 4-612,948 / 8,481
27.8% โ†’ 52.4% +24.6
Lost 5-75,465 / 3,303
28.3% โ†’ 48.8% +20.5
Lost 6-78,159 / 6,240
31.9% โ†’ 53.4% +21.5
0%10%20%30%40%50%60%70%80%90%100%
View the data: set-2 reply: underdog vs favourite
Set-1 loser was underdogSet-1 loser was favourite
Lost 0-6 (2,372 / 603)16.1%43.4%
Lost 1-6 (7,159 / 2,396)21.6%44.7%
Lost 2-6 (10,052 / 4,196)22.3%47.1%
Lost 3-6 (14,239 / 7,007)26.2%49.5%
Lost 4-6 (12,948 / 8,481)27.8%52.4%
Lost 5-7 (5,465 / 3,303)28.3%48.8%
Lost 6-7 (8,159 / 6,240)31.9%53.4%

The underdog who loses a bagel is the clearest pattern in the whole study. The favourite who loses a bagel is the most misleading: the score looks like a collapse, but the reply rate barely drops below even. Check the sample size on that row before leaning on it.

Break 4Surface barely moves the second-set reply rate

I expected clay to reward the trailing player, with longer rallies and more time to adjust. The data does not show it. On the ATP tour the set-1 loser won set 2 35.3% of the time on clay, 35.7% on grass and 35.2% on hard courts.

The WTA figures sit slightly lower and are just as flat: 33.2% on clay, 33.9% on grass and 33.0% on hard. Surface still shapes individual matchups. At tour level, though, the reply rate does not depend on it.

Set-1 loser wins set 2 by tour and surfaceAll set-1 scores
ATP clay
35.3%
ATP grass
35.7%
ATP hard
35.2%
WTA clay
33.2%
WTA grass
33.9%
WTA hard
33.0%
View the data: set-1 loser wins set 2 by tour and surface
All set-1 scores
ATP clay35.3%
ATP grass35.7%
ATP hard35.2%
WTA clay33.2%
WTA grass33.9%
WTA hard33.0%

One honest caveat across all four charts: these figures measure only the second-set reply, not who goes on to win the match. They are also historical rates, not a system, and past frequencies promise nothing about the next match.

At the break

  • Count games, not sets

    A lost tiebreak left the reply rate at 41.0%, while a 6-0 cut it to 22.4%. Treat the two as different situations even though both read one set down.

  • Check who was favourite

    Favourites who lost set 1 still won set 2 50.2% of the time, underdogs only 25.9%. Pre-match status outweighs the first-set margin.

  • Expect the pattern to persist

    After a 6-0, 36.3% of second sets were another 6-0 to 6-2 in the same direction. After a 7-6, 26.7% went 7-5 or 7-6 again, which is useful for totals and handicaps.

Tennis PredictionsToday's tennis picksDaily predictions, read with the same interval numbers in mind.
Daily tennis picks โ†’

Questions bettors ask

How often does a player win the second set after losing the first?

Across 114,493 tour-level matches, the player who lost set 1 won set 2 34.5% of the time. That implies fair odds of about 2.90 before any bookmaker margin.

Can a player come back after losing the first set 6-0?

It happens, but rarely: the beaten player won set 2 22.4% of the time after a 6-0 opener. A pre-match favourite in that spot still won set 2 43.4% of the time, against 16.1% for underdogs.

Does surface affect second-set comebacks in tennis?

Hardly at all at tour level. ATP reply rates were 35.3% on clay, 35.7% on grass and 35.2% on hard, with WTA rates between 33.0% and 33.9%.

Sophie Laurent
Written bySophie Laurent

Tennis writer at htft.tips, based in Paris. Surface, scheduling and fatigue tell me far more than a ranking ever will.

Popular posts ›

◆ #1 today
🔒
◆VIP Soccer Tips

Todayโ€™s full coupon, members only โ€” every locked pick across all sports, updated live each day. Unlock the complete card.

🔒 Unlock today’s picks →
Most popular today♥ 537
Prime Betting Tips
Prime Betting Tips

Todayโ€™s football matches with correct score, BTTS and goals picks โ€” each call backed by form, matchup and the reasoning behind it.

Read the breakdown →
Cricket Tips
Cricket Tips

Daily Test, ODI and T20 predictions read through pitch, conditions and the toss โ€” with the logic behind every selection.

Read the breakdown →
NBA Basketball Tips
NBA Basketball Tips

Todayโ€™s NBA picks across spreads, totals and matchups โ€” read through pace and efficiency, not just the big names.

Read the breakdown →
Tennis Predictions
Tennis Predictions

Daily ATP and WTA predictions read through surface, scheduling and form โ€” with the case behind each pick.

Read the breakdown →
Ice Hockey Predictions
Ice Hockey Predictions

Todayโ€™s NHL picks on moneyline, puck lines and totals โ€” built on goaltending, special teams and expected goals.

Read the breakdown →
NFL Picks
NFL Picks

NFL picks on spreads, totals and matchups โ€” read through line play, game script and situational tendencies.

Read the breakdown →
Baseball Tips
Baseball Tips

Daily MLB picks on moneyline, run lines and totals โ€” driven by pitching matchups, the bullpen and park factors.

Read the breakdown →
Volleyball Predictions
Volleyball Predictions

Daily match and set betting tips read through serve, reception and rotation โ€” with the reasoning shown.

Read the breakdown →
Handball Predictions
Handball Predictions

Daily 1X2 and totals picks read through tempo, defensive systems and the goalkeeping matchup.

Read the breakdown →
eSports Predictions
eSports Predictions

Daily match and map betting tips read through current form, the meta and roster stability โ€” with the reasoning shown.

Read the breakdown →