Here’s One Reason Why Rafa, Novak Find Separation From Peers
Here’s One Reason Why Rafa, Novak Find Separation From Peers
There is a fascinating juxtaposition in our sport regarding Return Games Won.
If you analyse the best player in this specific metric at the end of each season since 1991, you would see there is real improvement being made in recent years on the return side of the net.
But if you expand the data set to include the leading 40 players each season with Return Games Won, you would come to a very different conclusion. An Infosys ATP Beyond The Numbers analysis of Return Games Won since 1991 (when statistics were first kept in tennis) to this season uncovers two very conflicting results.
Leading Player – Return Games Won 1991-2018
The line in the sand is very clearly at the turn of the century. The leading six seasons for the player that led the tour with Return Games Won have all been since 2000, with three of them since 2010.
Return Games Won: Season Leader Since 1991
# |
Year |
Tour Leader / Return Games Won |
Win Percentage |
1 |
2016 |
R. Nadal |
40.75% |
2 |
2011 |
N. Djokovic |
38.84% |
3 |
2003 |
G. Coria |
38.73% |
4 |
2012 |
R. Nadal |
37.70% |
5 |
2005 |
R. Nadal |
37.54% |
6 |
2004 |
F. Volandri |
37.46% |
Novak Djokovic’s breakout season in 2011 – when he won three majors and five ATP World Tour Masters 1000s – was underpinned by his tour-leading 38.84 Return Games Won percentage.
You would naturally think because these players are putting up ever-increasing totals that the same must be for the rest of the tour. It’s simply not so when you look at the bigger data set.
Leading 40 Players – Return Games Won 1991-2018
This is much more an examination of the depth of our game regarding proficiency breaking serve. This analysis is an average of the leading 40 players with Return Games Won each season since 1991, and it uncovers a vastly different result than the examination of the season’s tour leader.
Return Games Won: Average Of Leading 40 Players Since 1991
# |
Year |
Win Percentage |
Leading Player & Win Percentage |
1 |
1991 |
29.69% |
M. Gustafsson (36.48%) |
2 |
1994 |
29.14% |
A. Berasategui (36.83%) |
3 |
1993 |
28.94% |
A. Agassi (37.34%) |
4 |
1995 |
28.75% |
T. Muster (35.92%) |
5 |
1992 |
28.74% |
M. Chang (36.70%) |
6 |
1996 |
28.55% |
M. Chang (35.28%) |
All six of the leading categories now occur before the turn of the century, with 1991 – the first year that records were kept – producing the highest Return Games Won percentage by the leading 40 players.
When you compare apples to apples – with the Top 40 Return Games Won average from the past six years (2013-18) and the first six years (1991-96) – you uncover just how big the disparity has become.
Top 40 Average – Six Year Period
1991 – 1996 = 28.97%
2013 – 2018 = 23.96%
A substantial 5.01 percentage point gap exists between the two periods.
One conclusion that we may draw is that while some players are definitely breaking serve more often, not everyone is progressing at the same rate. And when you look at the players bucking the overall downward trend in recent years, it reveals one important reason why they are finding separation from their opponents.
Infosys ATP Beyond The Numbers writer Craig O’Shannessy is a member of Novak Djokovic’s coaching team.