Written by: Jonny Grossmark - January 2, 2013

A review of final third passing data | Stats Analysis


I wrote a few weeks ago about the correlation between goals and final third passing and I think it would be a good time to review the current data as we come to the end of the year.

If you look at the table at the bottom of the page you will see that Man City have attempted the most final-third passes 3759(FTP) so far this season, have completed the most final-third passes (FTP C) and have the highest % completion of final-third passes (FTP C) along with with Arsenal.

Spurs are the most accurate and in their 20 games they have averaged 1 goal per 45.00 final-third completed passes. (Goal/FTP C).

Aston Villa  are the least accurate with 1 goal for every 90.46 final-third passes completed, just edging out QPR .

Academic statisticians have been looking at the correlation between final-third passing and goals. With R2 at 0.6502 we appear to have a very good fit ,with most of the EPL teams clustered around the line.

Final Third Graph 1024x629 A review of final third passing data | Stats Analysis

Spurs sit above the line and have scored more goals than the FTPC predicts but this can be easily explained by their counter-attacking style, sitting back and breaking quickly into the final third. Manchester United also sit above the line. When they are in possession in the final third they play like a well-oiled machine, scoring goals for fun. Sadly we cannot say the same when they are not in retention of the ball.

Spurs Final Third Passing A review of final third passing data | Stats Analysis

Aston Villa and QPR sit adrift of the line and are keeping each other company in the bottom left. The reasons that QPR are not scoring goals is that their strength of shot, in terms of exactly where they are shooting from, is in general terms mainly outside the box. Of the 14 shots that QPR had against Liverpool, for example, just one was from inside the area.

You can see how important it is to understand where the shot has been taken to avoid the data giving you contradictory information. I have not watched every Villa game but I am aware  that, with their young squad, they are finding it difficult at the moment. (Although they were excellent during the first half at home to Manchester United, with excellent penetration. They countered Liverpool well in another good game. I would expect Villa to move closer to the line in the next few weeks.)

I have to mention Liverpool, as they sit below the line. I worked out that with their data, they should have scored 8 more goals to sit with Arsenal on the line. The question is why have Liverpool not scored 39 if there is a correlation between goals and FTPC? My argument is that there is too much emphasis on the perceived strength of players rather then accepting the data as it presents itself.

Liverpool are too slow to recycle possession and do not have the ability to stretch teams. There was the classic example of Suarez getting behind the QPR left back and crossing the ball into the danger zone only to be greeted by six QPR shirts and no Liverpool players.

I do not buy the idea that Liverpool are unlucky and should score more as this should even out over time but if they sit on the line at the end of the season then we will have noted improvement in the final third.

In conclusion, there is certainly a correlation between final-third passing and expectation of goals. Some teams will not fit the line but instead of spending hours trying to work out why I think time would be better spent looking at predicting the expectation of goals by looking at the cluster of pressure.

Liverpool had 9 shots on target at Swansea but fired a blank so my offer to you is to have a look to see where they shot from (ie the strength of the shot). I look forward to looking at the data at the end of the season.

 

Team FTP FTPC % FTPC Goals 1G.FTPC
Arsenal 3241 2498 77% 39 64.05
Aston Vila 2330 1357 58% 15 90.46
Chelsea 3132 2315 73% 39 59.35
Everton 3213 2235 69% 33 67.72
Fulham 2466 1734 70% 30 57.8
Liverpool 3379 2495 73% 31 80.48
Man City 3759 2930 77% 38 77.1
Man United 3342 2565 76% 50 51.3
Newcastle 2190 1291 58% 26 49.65
Norwich 2564 1569 61% 23 68.21
QPR 2212 1443 65% 16 90.18
Reading 2246 1249 55% 22 56.77
Southampton 2712 1755 64% 26 67.5
Stoke 2450 1400 57% 21 66.66
Sunderland 2187 1370 62% 21 65.23
Swansea 2430 1785 73% 29 61.55
Spurs 2267 1620 71% 36 45
WBA 2287 1467 64% 28 52.39
West Ham 2520 1524 60% 22 69.27
Wigan 2312 1647 71% 22 74.86




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About the Author

Jonny Grossmark
My first taste of football in a stadium was Gillingham V Aston Villa 1971 and I still have the programme which cost 5p. I have been lucky to have seen a number of Cup Finals but missed the Sunderland goal in 1973 as I was in the toliet. I have recently been watching Margate and also watch around 50 other matches a month on my computer .




 
 

 
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6 Comments


  1. Thomas Batterbury

    Hi, I am currently doing some of my own analysis on pass completion using data from last years season. Are you using logistic regression here? And what software are you using?
    Many thanks


  2. A couple of observations…
    1. There needs to be more granularity and specificity with the final third passing stats…maybe some increasing value of key passes that lead to shots/goals, of penetrating passes that lead to key passes, etc.
    Right now, a big hoof from the keeper that is flicked on by the centre forward is treated the same as an assist, for example.

    2. Who died & decided that the pitch should be divided into thirds?
    With the teams I have coached, I have always divided the field into 1/4s. This is mainly because I want the team to play differently in the 2 midfield zones. But it also has the effect of making the defensive & offensive zones shorter (30 yards deep instead of 40). I feel that this is a better approximation of attacking & defending than 1/3s.
    Was interested to see Brendan Rodgers’ division of the field into 1/8s, which is more like my approach.
    http://www.eplindex.com/14987/brendan-rodgers-tactical-approach-liverpool-adapt-tikitaka.html

    Would like to see comments from more “professional” quants than I!!!


  3. Jonny Grossmark

    Quick response Nick is that I key the shot strength in every game . See previous articles and I am also going through games that I have not seen as part of my research.

    Am I not a professional Quant? haha


  4. Jonny Grossmark

    Hello Joey well done


  5. Jonny Grossmark

    Liverpool 1 goal per FTPC has now improved to 77.5 with the Suderland game producing 138 FTPC and 3 goals so a much improved performance. With Sturridge joining Liverpool and I assume Liverpool will play 2 up front Liverpool should score more goals. Maybe the Rodgers “black book” lost the page where it talks about the Striker being supported by another creative striker?



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