{"id":10169,"date":"2014-08-21T17:02:41","date_gmt":"2014-08-21T16:02:41","guid":{"rendered":"http:\/\/www.betangel.com\/blog_wp\/?p=10169"},"modified":"2014-10-18T07:08:30","modified_gmt":"2014-10-18T06:08:30","slug":"us-open-tennis-5","status":"publish","type":"post","link":"https:\/\/www.betfairtradingblog.com\/blog_wp\/2014\/08\/21\/us-open-tennis-5\/","title":{"rendered":"US Open Tennis – Scoreline statistics"},"content":{"rendered":"

A short into\u00a0to a regular\u00a0new feature<\/strong><\/p>\n

For some time I’ve been analysing various aspects of a number of key sports, but one thing that is the enemy of that is time, I don’t have any! So I’ve taken to surrounding myself with people who do and who are specialist in those areas I can’t devote enough time to. Bet Angel customer Dan has a neat website, Tennis Rating<\/a>s and his work was right up my street. It’s interesting, informative and a lot of work and thought has gone into how the various characteristics in Tennis affect various aspects of the game. It’s much better than anything else I’ve seen and it’s the sort of stuff I’ve been working on in the background but haven’t had time to really devote the energy required to pull it together. So when I started chatting to Dan and seeing what he has done, it was natural I’d invite Dan to make some contributions to the site. I’m delighted that Dan has jumped at the chance to provide some insight. As well as the blog there are regular contributions on the forum<\/a> as well. With that in mind, over to Dan….<\/p>\n

US Open Tennis – The statistics behind the scorelines<\/strong><\/p>\n

For my debut blog post for Bet Angel, I thought I\u2019d look at the US Open on a historical basis and look at the statistics behind the scorelines.<\/p>\n

With the US Open starting soon, on Monday, 25th<\/sup> August, interest in Tennis will be very high for the fortnight and the in-play markets will have a lot of attention, both from professional and recreational traders.\u00a0An angle I wanted to look at for this blog post was laying players in-play when either a set up, or two sets up.\u00a0As an introduction, the table below shows the percentages each correct scoreline occurred in Grand Slams since 2011:-<\/p>\n\n\n\n\n\n\n
Scoreline<\/td>\n2011<\/td>\n2012<\/td>\n2013<\/td>\n2014<\/td>\nOverall<\/td>\n<\/tr>\n
3-0<\/td>\n55.1<\/td>\n46.9<\/td>\n53.2<\/td>\n54.5<\/td>\n52.4<\/td>\n<\/tr>\n
3-1<\/td>\n29.6<\/td>\n31.2<\/td>\n26.6<\/td>\n28.9<\/td>\n29.1<\/td>\n<\/tr>\n
3-2<\/td>\n15.3<\/td>\n21.9<\/td>\n20.2<\/td>\n16.7<\/td>\n18.5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0The percentages year on year do not deviate hugely.\u00a0 Each year, the available correct scorelines have always appeared in the same percentage order \u2013 for example, there has been no year where 3-2 has occurred more frequently than 3-1 or 3-0.\u00a0\u00a0However, the US Open has very distinct percentage differences to the Tour mean:-<\/p>\n\n\n\n\n\n\n
Scoreline<\/td>\n2011<\/td>\n2012<\/td>\n2013<\/td>\nOverall<\/td>\n<\/tr>\n
3-0<\/td>\n55.2<\/td>\n43.9<\/td>\n45.9<\/td>\n48.2<\/td>\n<\/tr>\n
3-1<\/td>\n28.4<\/td>\n35.0<\/td>\n33.6<\/td>\n32.4<\/td>\n<\/tr>\n
3-2<\/td>\n16.4<\/td>\n21.1<\/td>\n20.5<\/td>\n19.4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0Here we can see that matches ended in a 3-0 scoreline 4.2% less than overall, with the 3-1 score the main beneficiary, with the US Open percentage rising by 3.3%.\u00a0\u00a0That\u2019s valuable knowledge to traders in itself, but of much more interest to traders is how these scorelines were derived, and in particular how often a 2-0 scoreline \u2013 where a player can be laid at a very low price \u2013 is lost to a 2-1, or a 2-2 scoreline.<\/p>\n

\u00a0The table below illustrates the percentages that 2-0 scorelines develop in different ways, for the two hard court Grand Slams from 2011 to 2014 (Please note that the 2-0 -> 2-1 and 2-0 -> 2-2 percentages are percentages of the 2-0 match total, not the completed match total):-<\/p>\n

\"21-08-2014<\/a><\/p>\n

Having said this, there\u2019s a marked rise in the success of the player that is 2-0 up losing in the third set at Flushing Meadows, with 28.46% of matches going 2-1 after they went 2-0. On that basis, laying a player 2-0 up in sets has much more historical success at the US Open than at the Australian Open, and this should be a decent low-risk trading opportunity. As we can see from the statistics above, the US Open has a very similar percentage of matches where one player takes a 2-0 lead (68.14%) to the Australian Open (69.38%).<\/p>\n

Interestingly, combining the two tournaments together, the player who recovered from 2-0 in sets to 2-1 won the 4th set 68\/144 times (47.22%) so there\u2019s very little edge to either player with regards to momentum in a 4th set. However, with the US Open worse (42.86%) for the losing player winning the 4th set than the Australian Open (51.35%) I\u2019d be less inclined to let a lay of the player 2-0 up run throughout the 3rd and 4th sets, and an approach where a player is laid at 2-0 up and some hedging is performed if the match goes 2-1 in sets looks to be the best strategy.<\/p>\n

These numbers support the previously mentioned high percentage of matches in the US Open ending in a 3-1 scoreline. With matches at the Australian Open ending 3-0 much more often, the oppressive heat of Australia in January is likely to play a big factor, with players more likely to give up at 2-0 due to the herculean effort required to turn around that deficit in such conditions. With the weather likely to be around the mid 20\u2019s next week at the US Open, this will be much more comfortable to the players and this should enable players to give their best efforts for longer.<\/p>\n

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A short into\u00a0to a regular\u00a0new feature For some time I’ve been analysing various aspects of a number of key sports, but one thing that is the enemy of that is time, I don’t have any! So I’ve taken to surrounding myself with people who do and who are specialist in those areas I can’t devote […]<\/p>\n

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