Tag Archives: MCFCAnalytics

Premier League 2011-12: Player Impacts – discussion

In previous posts I have tested different ways of rating players using Opta data to mark out key fields for each major position which correlate positively to points.  The summary of these reviews can be read here.

What troubled me about some of the findings in this process was the underperformance of some high-profile players whose strengths were clearly not rewarded by the analysis. For example, Ashley Cole, Theo Walcott, and even Fabricio Coloccini – who actually made the PFA Team of the Year last season. Although I’m pretty keen to separate subjective opinion from raw data analysis, in particular the presence of Coloccini in the PFA Team of the Year – voted for by fellow professionals – cannot be disregarded lightly. Not to mention his superb performance at the weekend!

So in this series of posts I have published another ‘view’ of footballers – this time looking at team performance in the league with and without a particular player in the starting line-up. This can be used as a simple indicator regarding which players’ presence helps/detracts from their team. I used Tableau Public for the first time for this, and had some teething issues attaching my graphs/tables, so they are shown in separate posts below.

Method

I calculated the average points gained, team goals scored and team goals conceded for every team and player and compared this to the team averages without that player in the starting line-up. Of course, those who started every game don’t have a ‘without’ average so I removed players who started every game. In addition, I took out players who started fewer than 4 games, and players who started more than 34 games. I did this on a whim after I saw that Robin van Persie had a negative impact to Arsenal’s points average – this happened because he started 37 games for Arsenal last season, and in the 1 game he didn’t start Arsenal won against Stoke. This annoyingly made Arsenal’s points average without RVP as 3pts per game, which is a bit ridiculous when he came off the bench and scored 2 in that game anyway! Players with 1 start had a similar problem, as the result of that game determined their impact. That example serves a purpose in explaining the limitations of a data table like the one below, even though the bias is reduced by increasing the min/max number of starts to 4 and 34. Of course if a player started in 34 games but the 4 he missed were away visits to Man City, Man Utd, Arsenal and Spurs then again his points average is more likely than not to be a little too high.

All the impacts below need to be taken with a pinch of salt but information is power, and I think this review is complementary to my previous player analyses and will help to give a better profile of players and their contribution to team performance. Incidentally, in this review Coloccini didn’t qualify because he started 35 games last season.

Hopefully, the tables/graphs are self-explanatory, but here are some highlights:

  • Adebayor for Spurs had the biggest positive effect on points for any team, followed by Arteta for Arsenal
  • Theo Walcott and Ashley Cole both had a strong positive effect for Arsenal and Chelsea respectively despite the poor stats analysis rating in previous posts
  • Notable ‘unlucky mascots’ for their teams were Berbatov for Man U and Ramsey and Arshavin for Arsenal
  • Swansea had a comparatively short range of differences between their players, which shows not only that they were able to field a remarkably consistent team for much of the season, but also perhaps indicates that no matter who was in the starting line-up, the player positions and tactics were relatively easy to substitute

Premier League 2011-12: Player Impacts – average points

The below graph, created using Tableau, shows the difference between points earned last season with that player in the starting line-up, vs points earned without (positive is good!) sorted by team.

Qualifying players were in a team’s starting line-up between 4 and 34 times to create a ‘sensible’ average points difference. For more information on the methodology click here.

An interactive version of the graph is available at the following link:

http://public.tableausoftware.com/views/EPL2011-12GlobalPlayerImpact/AvgPointsdifference?:embed=y

Premier League 2011-12: Player Impacts – goals for & conceded

I used Tableau to create the following graph of the positive/negative difference relating to goals for/against based on team averages with/without that player in the starting line-up that season.

Qualifying players were in a team’s starting line-up between 4 and 34 times to create a ‘sensible’ average difference. For more information on the methodology click here.

Use the version linked to below and hover over data points to see which player each star represents. NB. positive numbers are good for both goals for and goals conceded.

http://public.tableausoftware.com/views/EPL2011-12GlobalPlayerImpact/GoalsForvsCon?:embed=y

Premier League 2011-12: Player Impacts – data

Below is the full table of data, also viewable in Tableau Public at the following link:

http://public.tableausoftware.com/views/EPL2011-12GlobalPlayerImpact/Data?:embed=y

It’s not that easy to read the column headings but it’s basically team points with, team points without, difference – then the same order for goals for followed by goals against then a final goal difference average.

For the goals conceded difference I deducted team goals conceded without from team goals conceded with so that positive numbers are desirable – hence goal difference became goals for diff + goals conceded diff.

Qualifying players were in a team’s starting line-up between 4 and 34 times to create a ‘sensible’ average points difference. For more information on the methodology click here.

Premier League 2011-12: Stat attack

In this post I will publish some notable statistics and some charts from last season’s premier league. For example, did you know that there were 1066 goals scored last season, an average of 2.81 goals per game? And yet the number of big chances, as defined by Opta, averaged 3.58 per game.

Below is a chart illustrating some of the most signifcant ‘types’ of goals scored last season in proportion to their average frequency (there is some overlap):

Most of the other charts should be pretty self-explanatory:

Frequency per game:

Successful Unsuccessful Total
Dribbles 12.99 16.48 29.47
Short passes 619.89 124.59 744.48
Long passes 60.56 49.24 109.80
Corners 3.07 6.15 9.22

The next chart identifies how teams fared from direct free kicks throughout the season. 5 teams didn’t manage a single direct free-kick goal last season, but it was not for the want of trying, as Chelsea had 38 attempts with no success! Compare this to Sunderland, the most prolific scorers from direct free-kicks, who converted 5 of their 19 (success rate of 26.7%) with contributions from McClean, Gardner and Larsson (3).

Stacked points chart, home and away.  Only 3 teams: Bolton, WBA and Wolves won more points away from home than at home.

The next chart breaks down the number of shots per team, in order of the final league table positions. Just looking at the table by eye, you can see a trend between league position and number of shots. But there are some exceptions, such as Newcastle and Stoke, whose league position belies the trend in number of shots taken.

The last chart I will publish in this post shows the frequency and success rate of headed shots per team.  We can use this to establish which teams tended to use the aerial threat of their attackers more/less than average. Here it is clear that Stoke, Wolves and Liverpool created the most headed shots, perhaps due to an emphasis on crossing the ball from wide positions.

Premier League 2011-12: ‘Dream Team’

So with my position reviews now complete, I have a few points to make about the processes I have tested and what can be learnt. What will be more interesting to some readers is the fact that I can now also publish an alternative ‘Dream Team’ for last season based on my bespoke analysis.

All of the data analysed in these position reviews considered players who had played a total of more than 1000mins from a place in the starting line-up – with the one exception made for central attacking midfielders (for whom the limit was 500mins). As a result, players who made a habit of substitute appearances or a positive (or negative) impact from the bench – Theo Walcott springs to mind here – may not be considered fairly. In addition, players who were injured or out of favour for a significant proportion of the season may have shown themselves to be truly important when they did play but again didn’t qualify for my lists – perhaps for example Carlos Tevez, Hatem Ben Arfa and Nemanja Vidic.

In addition, I tested different weighting methodologies for each position review. The weightings used are obviously essential to the the final tables by which players are ranked and it should be noted that very different lists can be easily calculated with a few tweaks to the model. This is not intended to be a definitive ‘who is best’ rating but rather a simple test of how players can be compared to one another with an eye on correlations to wins, draws and losses.

Lastly, one season does not make a great player and the game evolves from year to year. As a result, we can’t make any concrete conclusions from 1 season’s worth of data. The availability of this data has certainly encouraged me to seek out more where possible – of course, the bigger the sample size, the better the chances of making a definitive conclusion.

The key general qualities I found for each position are noted below:

Goalkeepers with a high proportion of saves to shots, good passing accuracy and low error frequency are the qualities that seemed most important for this position last season. No surprises there. Looking back at my review, and influenced by recent discussions by other bloggers regarding keeper behaviour, we can imagine that all of these ratios are quite dependent on the team in which the keeper plays. It can be argued that the best defences limit good shooting opportunities, so perhaps it is inevitable that Joe Hart and de Gea would perform strongly here. In addition, a keeper will surely have a low error frequency if he is put under pressure less often by opposing attackers. As for passing accuracy, it is up to the defenders/midfielders to make a reasonable attempt to find a position to receive the ball. At the weekend, Newcastle’s goalkeeper Steve Harper made an unwise attempt to dribble past Danny Welbeck (did he not see my striker analysis which showed Welbeck to have the highest recovery rate last season?!) – as a Newcastle fan, I could not believe that the ball was passed back to Harper and neither full back: Ferguson nor Santon, dropped back to offer a wide short pass opportunity. A revisit to this analysis would require some thought to how to reduce the bias to the team in which the keeper plays.

This type of argument also applies to other positions where my analyses could be scrutinised and improved by further research on the key areas which contribute to the fields I used.

Fullbacks seem to need to have a combination of strong ground duel ability and an aptitude to join the attack as much as possible. Going forward they are heavily involved in linking play in wide positions but also must have excellent reactions and positioning to defend one-on-ones against attacking wingers without picking up yellow cards too frequently. Strong aerial duel prowess is not necessary but would obviously be a bonus, as would goals and assists.

Centrebacks need to be strong in both ground and aerial duels, and the more assured they are on the ball the better as ‘unsuccessful ball touch’ is introduced to the analysis. Central defenders with a high clearance rate are useful for teams expected to be in the lower reaches of the league, whilst high passing accuracy is more important for the top teams. A decent goal scoring record (from corners/set pieces) is again a bonus.

Defensive midfielders are regularly under pressure from opposing attackers and midfielders. Good tackle success, interception rates and recovery rates are important. Being able to retain the ball is also important so one touch lay-offs and passing accuracy are useful in this position whilst heading ability or a propensity to find a teammate in an advanced position can be considered a bonus.

Central midfielders are most important going forward than in defence. As a result goals and chance creation were biased by my review, alongside good passing success in the middle third and ground duel success. Low dispossession rates are also important.

Wingers/wide attackers need to have some ability in retaining the ball in the opposition’s half. The more often the player in this position finds space to receive the ball the better the chance of creativity so a good touch per min rate is also useful. Dribbling is a bonus skill – whilst of greater importance is chance creation / goals. Defensive attributes such as ground duels and recoveries are notable but in general secondary to attacking qualities.

Central attacking midfielders are all about chance creation, ball retention and goalscoring with no serious defensive qualities neccessary in open play (positioning may be another matter). The central attacking midfielder is likely to see more opportunities to play through balls or shoot than other midfielders, hence a good shooting ratio and opposition half pass success are most important.

Like central attacking midfielders, strikers who have high shooting accuracy and goal conversion rates along with chance creation are most valuable. Heading, dribbling and recovery rates are next important to players in this position.

My dream team (and squad) for last season based on the position review series is below. The players included obviously performed best overall in the areas discussed above. I have modelled the team for 3 of the more popular starting formations to ensure coverage for every position I reviewed in my series:

This compares to the PFA team of the season listed below:

Pos. Player Club
GK Joe Hart Manchester City
DF Kyle Walker Tottenham Hotspur
DF Vincent Kompany Manchester City
DF Fabricio Coloccini Newcastle United
DF Leighton Baines Everton
MF David Silva Manchester City
MF Yaya Touré Manchester City
MF Scott Parker Tottenham Hotspur
MF Gareth Bale Tottenham Hotspur
FW Robin van Persie Arsenal
FW Wayne Rooney Manchester United

Compared to the PFA team Coloccini, Baines and Bale are not in my form team of the year although the rest are at least in my ‘squad’, if not in the starting line-up.

I can also show an alternate England team based on English players’ rating in these positions. Of course some of the players were either not included, injured or retired from international duty over the summer but it provides a different perspective on the England team that could have gone to Euro 2012.

The last comment I will make is the incredible performance of Manchester City players in all reviews because in every position City were represented by a player in the top 2 except central attacking midfield – in which Agüero (who came 2nd in the striker review in any case) still finished in the top 5.

Comments welcome.

Premier League 2011-12: Position Analysis ST

Last, but by no means least, is my position review for strikers in last season’s premier league. Robin van Persie, rightfully acclaimed for his performances last season (in which he appeared in all 38 of Arsenal’s games, starting 37 of them – and even scored 2 from his solitary subsitute appearance against Stoke) bagged 30 goals in total. But he still didn’t quite manage to top this rating.

Before I discuss the results, I ought to discuss some formalities about the rating I have used.  As with most of my previous posts, I reviewed the statistics from players who started in the position of striker: that is, the central player in a 3-man forward line, both players in a ‘flat’ forward 2 or the lone player up front. By looking at player starting statistics only, I am perhaps unfairly judging players who made a habit of having an impact from the bench – in addition, as you will also see later, my goals scored below for RVP is ‘only’ 28 because of this filter.

I then shortlisted the strikers who played greater than 1000mins from the start (34 in total), and added Agüero to make a 35th because according to Opta he mostly played behind the central striker last season and so would not have otherwise qualified. Notable absentees from the list include Defoe, Balotelli and Jelavic – all of whom played over 800mins in games they started but still not enough to make the cut.

I looked at Opta key statistics and reviewed the correlations between these fields and Wins, Draws, Losses – purely for strikers. For the strongest correlating fields I calculated ratios to try and remove some bias towards playing time and team biases eg. the players who played for better teams generally had more shots on target so to dilute this bias I created a shooting accuracy ratio to judge shots on target vs shots off target.

The table of statistics above is ordered by playing time from Papiss Cissé (1037mins) to RVP (3311mins). It is dominated by shooting and goalscoring statistics, with additional credit for chance creation, passing accuracy, dribble success and recoveries. I toyed with the idea of including offside frequency, because it IS quite significant in its relation to wins but I still couldn’t bring myself to add it into my rating. It does however show which players are so keen to break through the last line of defence they fall foul of being offside very often: the top 3 ‘offenders’ were Hernandez, Best and Bent. The players least likely to stray offside were Rooney, Doyle and Torres.

Papiss Demba Cissé was the standout candidate for killer instinct, leading the way in goals per shots on target (0.63), 2nd behind Bent in general shooting accuracy and 4th for shooting accuracy inside the box.

Steve Morison, Yakubu and Rooney scored well in headed goals and accuracy, whilst the best creators of chances were van Persie, Suarez and Zamora.

The best dribble success ratios were held by Klasnic, Carroll and van Persie – whilst Helguson kept it simple all season with 0 dribbles attempted! (I gave him the average success ratio so as not to unfairly disadvantage him).

Terrier-like high recovery rates were found with Welbeck, Rooney and Ngog.

I weighted all of these factors based broadly on contribution to WDL in order to calculate the following final ranking:

*Offsides, on the far right, have not been counted in the total score.

Rooney just about steals the top spot ahead of Agüero, a good 7pts ahead of RVP in a re-jigging of the top goal-scoring charts for the year. Rooney’s statistics are basically a lesson in how to be an excellent all-rounder, and he would be almost 20pts ahead of the competition if it weren’t for the inclusion of the rather dubious ‘touches inside the box’ statistic which disadvantages deeper-lying forwards.

Surprises in the top 10 include Zamora, Holt, Klasnic and Best. Best in particular was probably 3rd or 4th choice striker at Newcastle last season but was never given the faith that his statistics seem to justify.

Andy Carroll and Fernando Torres, part of an £85m transfer merry-go-round in January 2010, are 23rd and 24th respectively and underperformed their collegues Suarez and Drogba.

The only positive in Louis Saha’s stats (35th, last in the list) was his decent passing accuracy. Niklas Bendtner, now at Juventus, who would surely be higher in my rating if I included an ego statistic, only finished 29th.

Premier League 2011-12: Position Analysis AM

The position reviewed in this post is defined by a player’s starting position in following formations as defined by Opta:

Even by defining such a narrow list of positions, there is doubtless still a very large variety in the role played by this position. In previous reviews I have re-grouped players by my own considerations, eg. by grouping wingers with attacking forwards or defensive midfielders with certain central midfielders. In this case I haven’t, because the number of teams using this position was relatively small – and in many cases there would be overlap between central midfielders and attacking forwards on the outside of a front 3. Although attacking fields already dominated those analyses this will give a different view of the players who qualified with even more bias towards attacking qualities.

So, this time, I increased the playing limit to include the top 20 players by playing time. As I will comment later, narrowing the list can enable a slightly different perspective on a team’s tactics and even perhaps transfer strategy.

A review of correlations to WDL for these players strongly biased attacking and incisive passing qualities. As a result my rating biases players based on these fields. I ranked the players using the ratios below:

I then weighted these according to the strength of their correlations to team points in order to award points to each player:

The pool of players was relatively small, and included a range of player types – from Sergio Agüero (who often played just behind the central striker in a 4-4-1-1 last season) to David Edwards (who more likely played in flat midfield 5). The winner was the incredibly prolific Rafael van der Vaart who led the way in chances created (including through balls) per minute played. He combined an excellent ratio of goals from open play to shots on target from inside the box with a strong ratio of 3:1 shots in the box on target to shots off target. This was the key to his placing almost 10pts ahead of Gylfi Sigurdsson in second place, whose ratio of shots on target in the box was 1:1. By finishing ahead of Agüero, Hoilett’s statistics also show why he was so highly rated last season.

At the other end of the table are rather indifferent statistics from Everton’s 3 players in the table: Cahill, Fellaini and Osman. Having been so prolific in previous seasons, from this position Cahill didn’t manage to score in open play despite 21 shots inside the box and neither did he fare much better in chances created. Cahill’s decline in form probably helped to encourage David Moyes to re-sign the influential Steven Pienaar in January. Furthermore, since Cahill’s departure over the summer the resurgence of Fellaini as an advanced player coupled with additional support from Mirallas has clearly bolstered Everton’s attack, helping them to 2nd place in the league after 6 games.

Spurs also had significant summer transfer activity involving 5 players in this list, with van der Vaart and Modric replaced by Sigurdsson, Dembele and Dempsey. Although it’s a crude comparison at best, VDV and Modric had an average pts score in this position of 58.8 vs 55.1 for their replacements indicating a possible weakening in terms of ability – but a strengthening in terms of total squad quality.

In leaving Swansea, Sigurdsson has had a relatively quiet start to life at Spurs whilst his replacement, Michu, had an immediate impact. In 5th place on the list, Joe Allen reflects versatility perhaps justifying his cost to Liverpool as he has already finished in the top 5 of my DM position rating.

Arsenal’s entrants Rosicky and Ramsey finished 10th and 11th. Wenger would surely hope for a more significant goals contribution from these two (each scored 1 from this position in open play) – however this was compensated for by a reliance on the goals of van Persie and Arteta’s aptitude for joining the central attack from a deeper lying position. In any case, Wenger will hope that the return of Wilshere and Diaby, plus the attacking signings of Cazorla, Podolski and Giroud should soften the impact of the losses of van Persie and Song.

Premier League 2011-12: Position Analysis SM/WA

Wide midfielders/attackers. This time reviewing the Opta data for those players who started a match on either side of a ‘flat’ midfield 4 or 5 or an advanced 3. As with my earlier post on CMs, I have to admit from the start that the roles these players have can differ widely from team to team – some teams who play a quartet in midfield see the need for defensive-oriented side midfielder(s), whilst in other cases a player may be given a ‘free’ role and won’t actually spend as much time on the flank. As a result, because my system firstly groups the players then looks at the strongest correlations between those player’s actions and winning, the more influential midfielders’ statistics give a sort of bias to the results that mean some midfielders with rarer abilities may not be noticed. This isn’t a defence of Gabriel Obertan, who as we will see later finished at the bottom of the rating, but rather a disclaimer that Obertan might be superb in some areas that:

a) are not covered by the statistical fields Opta have provided or

b) my analysis doesn’t pick them up because it focuses on attributes dominated by players at the top of the rating

Or perhaps Obertan just isn’t very good. Note b above is particularly interesting because at times during my position analysis reviews certain players have been surprising underperformers. I am always sensitive to the results of Newcastle, but it has been rather surprising that for a team which finished 5th in the league so far only 1 player has made the top 10 of any position rating so far (Yohan Cabaye, CM). Newcastle’s uncanny ability last season to score goals despite a low final third pass success rating – as highlighted by Ravi Ramineni’s post here, suggests that Alan Pardew’s team have a unique but effective style that may not be comparable to other teams in the EPL – or maybe Newcastle had an incredibly ‘lucky’ season, as suggested by Mark Taylor.

So, with that kind of disclaimer noted, back to the analysis. This time I introduced some new measures to try to avoid bias for certain players or certain teams since goals, chances created and pass success in opponent’s half were all very significant contributors to performance here – but frankly comparing those statistics directly between a Wolves player and a Man City player would unfairly bias the City player. The measures used are noted below:

Goals rating: goals per big chance per minute (rewarding clinicism, goals out of nothing and profligacy)
Chances created per min: key passes + assists per min
Pass success opp half: as a ratio of unsuccessful passes
Long pass success: as a ratio of unsuccessful long passes
Dribble success: as a ratio of unsuccessful dribbles
Lay-offs success: as a ratio of unsuccessful lay-offs
Through ball per touch
Touches per min
Ground duel ratio
Recoveries per min
Team bonus: 1-20 additional points based on the player’s team

I weighted these factors according to their relative effects on winning/producing goals/conceding goals – then added a bit of a lazy attempt to reward players who play for losing teams by adding a ‘team bonus’.

46 players played more than 1000mins having started in the position of wide midfield or attacker, notable absentees are numerous but include Sessegnon, Modric, Arshavin, Park, Milner, Drenthe, Walters, Adam Johnson, Ramires, Bellamy, Ben Arfa. Some of these players came agonisingly close to qualifiying but just didn’t quite make it:

And the winner is Juan Mata, leading a Spanish top 2 with Silva in second place. Manchester United have an impressive three players in the top 10: Young, Valencia and Nani, whilst QPR’s Adel Taarabt makes 6th place – very impressive considering that without the team bonus he’d still be in the top 10.

Mata leads his peers on chances created, and otherwise scores very well in the key offensive statistics. In dribble success, a quality that doesn’t seem to matter that much but is certainly fun to watch, Nani leads a group of only 8 players who made more successful dribbles than failures (2.3, head and shoulders above the rest). The rest of the group, in order of success, were Larsson, Mata, Pennant, Bennett, Dyer, Valencia and Silva (ranging from a ratio of 1.5 to 1.0).

Arsenal fans may be surprised to see such poor scores from Gervinho and Walcott (or maybe not!). Gervinho may be forgiven considering that it was his first season in England but Walcott’s position just ahead of Obertan is a disappointment despite the fact that he scored 8 and made 8 assists from games in which he started. It may well be that Arsenal’s attack tend to focus through the centre – and as such Gervinho and Walcott do not get on the ball as much (backed up by their relatively low touches per min stats). In any case, this season Wenger has significantly strengthened his attacking midfield with Podolski and Cazorla – whilst Walcott’s contract is due to expire at the end of the season. If Walcott cannot force himself into a central striker’s role at Arsenal then a move away from the club at the end of the season could even be mutually beneficial.

Lastly I have provided a view of the only 2 defensive measures I included to give a different picture of how useful this same group of players are defensively:

Gutierrez leaps up this table, highlighting his defensive contribution to Newcastle’s performances last season, whilst Pienaar, Young, Dyer and Nani make the top 10 in both tables – proving their admirable all-round capabilities. Jermaine Pennant is 2nd, strongly outperforming his Stoke counterpart Matthew Etherington.

Premier League 2011-12: Position Analysis DM

Having completed analysis on centre midfielders, I discovered that by grouping all central midfielders together the defensive midfielders were unfairly compared to their more offensive partners.

As a result, my previous standards/classifications needed adjustment to obtain a reasonable range of data with which I could review defensive midfielders. This is for 2 reasons: primarily, the playing time of players in the position of DM (as considered below) was insufficient – only Arsenal and Swansea had players who played in this position for more than 1000mins; secondly, I wanted to include additional data from the defensive midfielders that I had previously categorised in the CM analysis.

Whether or not a midfielder is defensive or not is arguable in some cases, and you may disagree with some of the names I have included here. But this is my analysis, so I added the CM statistics for the following 17 midfielders to the DM stats:

Alejandro Faurlin Karl Henry
Cheik Tioté Lee Cattermole
Craig Gardner Lucas Leiva
David Fox Mohamed Diamé
Fabrice Muamba Scott Parker
Gareth Barry Shaun Derry
Jack Colback Steven N’Zonzi
Jay Spearing Youssuf Mulumbu
John Obi Mikel

Nigel de Jong failed to make the 1000mins cut as he only played a combined total of 885mins in the DM or CM position (not including substitute apps). In total, 5 premier league teams did not have a player who qualified for this list: Aston Villa, Everton, Fulham, Man Utd and Stoke City. These teams generally seemed to fill the centre of the park with midfielders who do a bit of everything.

To redress the balance from the CM analysis, I focused on DM actions that correlated negatively with goals conceded first – then appraised the effect on W/D/L and goals for in order to come up with my shortlist of statistics. As a result defensive attributes dominate this particular review, with only ‘goals from open play’ (which are infrequent for DMs so do not have much significance) and ‘passes forward’ (as a proportion of all passes) the 2 offensive fields that contribute to the DM analysis. It could be argued that even these offensive stats are dependent on the quality of the attacking players ahead of the DM.

‘Touches’, ‘short pass success’ and ‘lay-offs’ are the neutral fields considered – since being comfortable in possession, or at least in distributing it to the next player (or to safety) is a important part of the DM’s game.

The full list of all fields shortlisted, including those used, is shown below:

And the results are here:

So, Lucas Leiva, who actually had the lowest playing time in this list (1135mins) is rated #1. Had he not sustained a serious injury in November 2011, it is likely that Liverpool’s fortunes in the league would have been significantly improved. He topped the charts for total tackles (with 59 tackles won he was also 6th in that list despite playing fewer games than anyone else), duel success ratio of 1.86 (Derry was second with a ratio of 1.50) and passes forward. There is a clear link between pass success and passes forward, for example Joe Allen and Leon Britten top the charts in pass success but are bottom of the table in passes forward – indicating that the difficulty of their passes was generally probably not that high – however Lucas has above average short passing success despite playing 42% of his passes forward.

Second in the list is Gareth Barry, meaning that in every position analysis I have written so far (5), Man City have managed a player in the top 2 every time. He is also the highest placed English player, ahead of the widely praised Scott Parker. They are, however, within 5pts of one another for every field except headed clearances and passes forward – in which Barry is much stronger than Parker.

Brendan Rodgers’ signing for Liverpool of Joe Allen is rather significant because if he can develop a strong partnership with Lucas this season (assuming Lucas can stay injury-free), on the basis of their form last season they would be a formidable pairing (both scored higher than Arsenal’s pairing of Arteta and Song).

Finally, as a Newcastle fan my hopes that Cheick Tioté would prove his class amongst his peers was a little disappointing. On the plus side, 2 Sunderland players were in the bottom 4! Rumours abound over the summer that Chelsea/Man Utd/Man City/Arsenal were interested in Tioté in a £20m+ deal do not really stand up to the stats. If he is sold, and I know that Mike Ashley likes a good deal, WBA’s Youssuf Mulumbu would appear to be a good contender as a cost effective replacement.