Betting on Tennis Handicaps
The games handicap market is a popular market when it comes
to tennis betting. As with other sports, it is a market designed to give two
selections around the 50:50 mark by giving the favourite a games handicap to
overcome. For example, the Auckland final of 2013 saw Agnieszka Radwanska take
on Yanina Wickmayer. Radwanska was priced at 1.25 in the markets compared to
3.87 for Wickmayer. However, by giving Radwanska a -4.5 game handicap, it gave
us a market where Radwanska was now priced at 1.88 and Wickmayer was priced at
2.04.
The question that this article will look at is whether
certain players tend to cover the games handicap more often, and whether we
should take the middle handicap that is offered.
I have collected handicap lines and results for 2,344 WTA
matches that were played in 2013. This excludes matches that finished in a
retirement, plus a couple of matches where the handicap markets were not
priced, so the data was not available. Despite these exclusions, the sample
covers the vast majority of matches played in 2013.
The majority of the middle line handicaps were half-game
lines, i.e. -3.5 games as opposed to either -3 or -4 games. However, there were
a reasonable number of full-game lines in the sample, so the push comes into
play. The push is where the final result equals the handicap line and the bet
is void. In the sample, there were 54 matches that resulted in a push.
The table below shows the performance of the top 10 players
in the end of year WTA rankings against the handicap:
Player
|
Covered
|
Failed
|
Push
|
Total
Matches
|
Covered
%
|
Failed
%
|
Serena Williams
|
48
|
31
|
1
|
80
|
60.0%
|
38.8%
|
Victoria Azarenka
|
24
|
26
|
1
|
51
|
47.1%
|
51.0%
|
Maria Sharapova
|
20
|
23
|
1
|
44
|
45.5%
|
52.3%
|
Agnieszka Radwanska
|
35
|
38
|
2
|
75
|
46.7%
|
50.7%
|
Li Na
|
33
|
24
|
1
|
58
|
56.9%
|
41.4%
|
Petra Kvitova
|
25
|
41
|
3
|
69
|
36.2%
|
59.4%
|
Sara Errani
|
36
|
26
|
2
|
64
|
56.3%
|
40.6%
|
Jelena Jankovic
|
38
|
28
|
1
|
67
|
56.7%
|
41.8%
|
Angelique Kerber
|
32
|
32
|
2
|
66
|
48.5%
|
48.5%
|
Caroline Wozniacki
|
27
|
31
|
1
|
59
|
45.8%
|
52.5%
|
If the handicap lines were being set correctly, we would
probably expect to see players covering in the region of 45-55% of the time and
failing 45-55% of the time. It would not be exactly 50% as the prices on the
handicap line are not always 50:50 – often one of the players is a slight
favourite on the handicap line. As we can see, there are five of the players in
the top 10 that fall between these rough guidelines.
The biggest outliers are Petra Kvitova and Serena Williams.
Petra Kvitova is well-known for somehow taking almost any match to three sets,
particularly when she is the favourite. As a result, she will often struggle to
cover the handicap unless she wins at least one of the sets convincingly. This
is borne out by the figures, which show that she only covered the handicap in
25 of her 69 matches in 2013 – a fairly miserable 36.2% of the time. In
contrast, backing the handicap on her opponent would have resulted in winning
59.4% of the time, with a push resulting on three occasions.
On the flip side, Serena Williams was able to cover the
handicap an impressive 60.0% of the time. Given she is almost always a huge
favourite, she usually has large handicaps to cover, but is clearly able to
regularly cover these handicaps.
In total, there were 111 players that played at least 15 matches
in the sample. The top ten players in terms of covering the handicap are listed
below:
Player
|
Covered
|
Failed
|
Push
|
Total
Matches
|
Covered
%
|
Failed
%
|
Olga Govortsova
|
18
|
8
|
0
|
26
|
69.2%
|
30.8%
|
Alize Cornet
|
40
|
16
|
2
|
58
|
69.0%
|
27.6%
|
Alison Riske
|
11
|
5
|
0
|
16
|
68.8%
|
31.3%
|
Mirjana Lucic-Baroni
|
12
|
5
|
1
|
18
|
66.7%
|
27.8%
|
Simona Halep
|
38
|
18
|
2
|
58
|
65.5%
|
31.0%
|
Yvonne Meusburger
|
15
|
8
|
0
|
23
|
65.2%
|
34.8%
|
Virginie Razzano
|
11
|
6
|
0
|
17
|
64.7%
|
35.3%
|
Elena Vesnina
|
27
|
14
|
2
|
43
|
62.8%
|
32.6%
|
Anastasia Pavlyuchenkova
|
30
|
18
|
1
|
49
|
61.2%
|
36.7%
|
Jamie Hampton
|
25
|
16
|
0
|
41
|
61.0%
|
39.0%
|
While the sample is relatively small for some of the
players, there are a couple of players in there with very impressive figures.
Alize Cornet was able to cover the handicap in no fewer than 40 of her 58
matches in 2013 – a phenomenal 69.0% of the time. Even if she were the
favourite in every handicap market, this is still far higher than we might
expect. Similarly, Simona Halep’s 65.5% is very impressive and reflects her
rapid and unexpected rise up the rankings during 2013.
Obviously though, there are players that perform very poorly
against the handicaps and they are shown below:
Player
|
Covered
|
Failed
|
Push
|
Total
Matches
|
Covered
%
|
Failed
%
|
Tamira Paszek
|
2
|
14
|
0
|
16
|
12.5%
|
87.5%
|
Arantxa Rus
|
4
|
11
|
0
|
15
|
26.7%
|
73.3%
|
Nina Bratchikova
|
5
|
10
|
1
|
16
|
31.3%
|
62.5%
|
Nadia Petrova
|
7
|
14
|
1
|
22
|
31.8%
|
63.6%
|
Julia Goerges
|
12
|
23
|
2
|
37
|
32.4%
|
61.2%
|
Su-Wei Hsieh
|
12
|
23
|
2
|
37
|
32.4%
|
61.2%
|
Lara Arruabarrena
|
5
|
9
|
1
|
15
|
33.3%
|
60.0%
|
Sofia Arvidsson
|
8
|
16
|
0
|
24
|
33.3%
|
66.7%
|
Timea Babos
|
8
|
15
|
1
|
24
|
33.3%
|
62.5%
|
Heather Watson
|
8
|
15
|
0
|
23
|
34.8%
|
65.2%
|
There are some very poor performances here from a number of
players. After her awful 2013, it is no real surprise to see Tamira Paszek on
this list, nor the likes of Heather Watson, who struggled through illness, or
Julia Goerges, who is consistently overrated in the markets.
The second question to look at is whether it is worth giving
an extra game on the handicap in exchange for an improved price. As an example,
today’s semi-final between Agnieszka Radwanska and Alize Cornet has a handicap
line of -5.5 with the Pole at 2.14 and the Frenchwoman at 1.794. If we were
hoping to back Agnieszka Radwanska, how much of a difference would it be
between backing her at -5.5 at 2.14 or -6.5 at 3.03? Similarly, if we wanted to
back Cornet, should we back her at +5.5 at 1.794 or +4.5 at 2.18?
Of the 2,344 matches in our sample, there were 1,654 matches
that were won by the favourite. Of those 1,654, in no fewer than 1,174 of those
matches did the favourite cover the handicap. In other words, when the
favourite won the match, they covered the handicap on 71.0% of occasions. If we
were to increase the handicap by one game, then this figure changes to 937
matches that cover the handicap or 56.7% of the matches. Out of 1,654 matches
where the favourite won, there were 237 that would not have covered a handicap
that was one game larger than the generally offered line.
If we look at matches where the outsider failed to win the
match, but covered the handicap, we find that there are 480 matches. There were
54 of these matches that finished as a push, meaning that there were 426
matches that would have paid out as a winner on the outsider on the handicap, despite
losing the match. If we take one game from the handicap, i.e. instead of having
to cover a +4.5 handicap, they must cover a +3.5 game handicap, we find that
there are now just 261 matches that would have paid out as a winner – a fairly
significant fall. Of the 480 matches where the favourite won, but the outsider either
covered or gained a push on the initial handicap, 62.7% still cover or push on
the new handicap.
As we might expect, when the outsider wins, they tend to
cover the handicap on the vast majority of occasions. Of the 690 matches where
the outsider was victorious, the outsider successfully covered the handicap on
no fewer than 688 occasions. There were just two matches where the outsider was
victorious and did not cover the handicap – Stefanie Voegele beating Mona
Barthel in Luxembourg and Melanie Oudin beating Michelle Larcher de Brito at
Wimbledon, both as very fractional outsiders with just a +1.5 handicap.
If we move the handicap on the outsider down by a game, we
find that 680 still cover the handicap with eight further matches now failing
to cover. Those matches were:
Winner
|
Loser
|
Handicap
+ 1
|
Scoreline
|
Yanina Wickmayer
|
Mona Barthel
|
+1.5
|
6-4, 1-6, 7-6
|
Julia Cohen
|
Nina Bratchikova
|
+2.5
|
0-6, 7-6, 7-5
|
Sara Errani
|
Nadia Petrova
|
+1
|
6-4, 0-6, 6-3
|
Alize Cornet
|
Lourdes Dominguez Lino
|
+0.5
|
3-6, 7-6, 7-6
|
Donna Vekic
|
Magdalena Rybarikova
|
+0.5
|
7-6, 1-6, 6-3
|
Karin Knapp
|
Dinah Pfizenmaier
|
+0.5
|
2-6, 7-6, 7-5
|
Vania King
|
Monica Puig
|
+1.5
|
1-6, 7-6, 7-5
|
Maria-Teresa Torro-Flor
|
Klara Koukalova
|
+1
|
7-6, 1-6, 6-3
|
Two of these matches now result in a push, rather than a
win, while six now become losers when they used to be winners. However, out of
690 matches, this is a small sample that actually change their result.
So, what can we conclude from this. In terms of backing the
outsider on the handicap, it would seem to depend on why we are backing the
outsider. If we are expecting the outsider to keep it tight, but not actually
win the match, then it would appear that we are best off using the original
middle handicap – there are quite a large proportion of matches that would
become a loser for a relatively small change in the odds by taking a more
aggressive handicap line.
However, if we are backing the outsider on the handicap
because we expect there to be a reasonable chance of the player winning the
match, then one would be advised to take on the smaller handicap – there were
very few occasions when an outsider became a loser on the handicap from taking
the extra game in 2013.
In terms of backing the favourite to cover the handicap, the
picture is less clear. Whilst there were still plenty of players that would
have covered the more aggressive handicap, there were 20.1% of all those that
would have covered the handicap before that no longer cover the handicap. This
is a reasonable figure, but we can often see significant rises in the prices by
taking an additional game, so we might consider it a risk worth taking. It
would seem that we need to judge on an individual basis depending on the increase
in the odds that we see.
This is a very inciteful article indeed. It would be interesting to see the same trends in mens tennis. Especially the effect of the additional two sets in grand slams.
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