Forget Everything You Think You Know About Goal Kicks

Forget Everything You Think You Know About Goal Kicks

The ball is placed on painted grass and a tall bright goalkeeper strides backward toward the goal. Now lunging forward the leg swings like a pendulum through the ball sending it bravely toward the sky. The onlookers lift their gaze as the ball reaches the peak of its flight. Two gladiators lock limbs below, jostling for position. They leap together in an effort to possess the falling ball. There is a deflection and the gladiators separate. They rejoin the play.

Long kicks by goalkeepers are a staple in soccer matches and they are a beautiful sight to behold, but that doesn't mean they are a good idea. By the end of this article I hope to convince you of that fact, even if the data isn't entirely perfect.

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USMNT 1 - Brazil 4: USA GetS Waxed

If you were to read through the headlines this morning, though I'm not sure I'd advise doing that, you'll likely find a good share of articles that talk about the United States' inability to keep the ball or build possession to penetrate Brazil's defense and create goal scoring chances. Others will mention a lack a terse focus for a back four that surrendered multiple goals that should probably have never happened. The rest will consist of sharp lashings that end with the inevitable and deserved questioning of leadership within the hierarchy of US soccer.

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USMNT 6-0 Cuba: The U.S. Smokes Cuba

On Saturday the U.S.A. cruised to a 6-0 victory over Cuba in the Gold Cup quarterfinals and advanced to play Jamaica in the semifinals. When a country with the population and the financial resources of the U.S. pounds on a country whose players are much more intrigued with the idea of leaving the team, it’s hard to get too excited about the victory. It’s an even harder match to break down statistically. How do you analyze a drubbing? Let’s just all feel good, right? Believe it or not I’ve found some statistics that will sober you right up.

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The effect of shot limiting in MLS: Part One

This is part one of a two part series. Check back tomorrow for part two.

Thanks to their effectiveness at measuring and predicting aspects of an offense, we’ve seen shot based models, such as the expected goals model (xG) here at American Soccer Analysis, become increasingly popular. On the defensive side however, things are proving a lot harder to quantify.

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Passing: An oddity in how it's measured in Soccer (Part I)

In my passion to better understand how soccer is statistically tracked I've come across what I would call is an oddity about the general characterization of "passing" in the world’s greatest sport. Here's the deal - go to Squawka.com, whoscored.com, reference the "Stats" tab on mlssoccer.com, or review Golazo information, and you'll notice they all provide passing information.

My intent is not to dig deep into passing details – not yet, anyway. We’ll get there in another article to follow after I get permission from OPTA to reference their F-24 definitions within their Appendices. For now here's a simple question I have as a statistical person working on soccer analysis.

What is the number of passes I should use for teams and which denominator is the right number for total passes by both teams to help determine possession percentages?

In the MLS Chalkboard you can clearly see and count passes - here's an example from a game this past week.

An important filter to note - the major term 'Distribution' is not to be clicked in creating this filter - all that is clicked is 'successful pass and unsuccessful pass'; note also that some details are provided on the types of passes  - we’ll get there in another article.

Bottom line is that the MLS Chalkboard identifies 309 successful passes and 125 unsuccessful passes for a total of 434 passes attempted.

On the MLS Stat sheet - one tab over but linked here the number of passes for Chivas = 369; that number doesn't match the Chalkboard in either total, unsuccessful or successful.

For Golazo, for that same game here's their total: 369 Passes total with 75% accuracy meaning the total successful passes was 277 and unsuccessful passes totaled 92.  Not the same either.

For Squawka.com here's their total: Successful = 270 /// headers (8), throughballs (2), passes (239), long balls (21) and supposedly crosses (0) Unsuccessful = 86 /// passes (52), headers (14), long balls (20), no unsuccessful crosses or throughballs logged here?! Yet the MLS chalkboard indicates 26 unsuccessful crosses! All told that is 356 passes; those figures don't match the other data sources.

For whoscored.com here's their total: Short ball = 323, Long ball = 52, Through ball = 2, Cross = 35, for a total of 412 passes - again that figure doesn't match the other data sources.

So what's the right total?  Here’s a table to compare showing the source of data and the total passes submitted for statistical folks like us to leverage in our analysis.

MLS Chalkboard 434
MLS Statistics 369
Golazo (same as MLS Stats) 369
Squawka 356
Whoscored 412

Observations:

I have no idea what 'right' looks like here but here's what I've done to work through this issue.

I chose one source, the MLS Chalkboard, to gather and analyze statistics on passing and possession and all other things available from that data source - where other information is not offered there I reference the MLS Stats tab and Formation tab.

Why did I choose the Chalkboard?  Because it provides additional detail that shows more clarity on all the other types of passes that occur in a game.

For example; if you scroll down on the Chalkboard link and select Set-Pieces you’ll see that Throw-ins are included in the successful passing totals – by definition a Throw-in is a pass as it travels from one player to another.

So my recommendation, if interested, is to track Major League Soccer statistics using the MLS Chalkboard first - it's harder but seems to be the best one at this time.

I'm not sure why the MLS Chalkboard, Golazo, Whoscored and Squawka all had different team passing statistics; given that it is likely they all have different individual player statistics as well... but in asking a representative from OPTA about that - their response was provided below:

“The difference between the different websites could be down to a few things. Either they take different levels of data from us, or they take the same feed but only use a chosen set of information from each feed to display their own take on each game.”

By the way – I did try to find a reasonable definition of what a pass is defined as for soccer; here’s some of that information before final thoughts… note: they are all different and Wikipedia proves, by its definition, why it’s a pretty useless source for information…  for them a pass in soccer must travel on the ground – no kidding – here’s their definition up front:

“Passing the ball is a key part of association football. The purpose of passing is to keep possession of the ball by maneuvering it on the ground between different players and to advance it up the playing field.”

Other definitions get pretty detailed – it is what it is apparently – complicated…

Passing Definition: About.com World Soccer.

When the player in possession kicks the ball to a teammate. Passes can be long or short but must remain within the field of play.

Soccer Dictionary: Note there are numerous definitions provided in this link so offering up a specific link is troublesome so I will cut and paste those definitions below:

Cross, diagonal: Usually applied in the attacking third of the field to a pass played well infield from the touch-line and diagonally forward from right to left or left to right. Cross, far-post: A pass made to the area, usually beyond the post, farthest from the point from which the ball was kicked. Cross, flank (wing): A pass made from near to a touch-line, in the attacking third of the field, to an area near to the goal. Cross, headers: 64% of all goals from crosses are scored by headers. Cross, mid-goal: A pass made to the area directly in front of the goal and some six to twelve yards from the goal-line. Pass, chip: A pass made by a stabbing action of the kicking foot to the bottom part of the ball to achieve a steep trajectory and vicious back spin on the ball. Pass, flick: A pass made by an outward rotation of the kicking foot, contact on the ball being made with the outside of the foot. Pass, half-volley: A pass made by the kicking foot making contact with the ball at the moment the ball touches the ground. Pass, push: A pass made with the inside of the kicking foot. Pass, sweve: A pass made by imparting spin to the ball, thereby causing it to swerve from either right to left or left to right. Which way the ball swerves depends on whether contact with the ball is made with the outside or the inside of the kicking foot. Pass, volley: A pass made before the ball touches the ground. Passing: When a player kicks the ball to his teammate. Through pass: A pass sent to a teammate to get him/her the ball behind his defender; used to penetrate a line of defenders. This pass has to be made with perfect pace and accuracy so it beats the defense and allows attackers to collect it before the goalkeeper.

Ducksters.com offers up a Glossary and Terms for Soccer; here’s what they define a pass as being…  this one is geared more towards teaching players about various types of passes they will need good skill in order to execute them.

Direct Passes - The first type of soccer pass you learn is the direct pass. This is when you pass the ball directly to a teammate. A strong firm pass directly at the player's feet is best. You want to make it easy for your teammate to handle, but not take too long to get there.

Passes to Open Spaces - Passing into space is an important concept in making passes in soccer. This is when you pass the ball to an area where a teammate is running. You must anticipate both the direction and speed of your teammate as well as the opponents. Good communication and practice is key to good passes into space.

Wall Passes (One-Twos) - Now we are getting into more complex passing. You can think of a wall pass as bouncing a ball off of a wall to yourself. Except in this case the wall is a teammate. In wall pass you pass the ball to a teammate who immediately passes the ball back to you into open space. This helps to keep the defense off balance. This is a difficult maneuver and takes a lot of practice, but the results will make it worth the effort.

Long Passes - Sometimes you will have the opportunity to get the ball up the field quickly to an open teammate. A long pass can be used. On a long pass you kick the ball differently than with other shorter passes. You use an instep kick where you kick the soccer ball with your instep or on the shoelaces. To do this you plant your non-kicking foot a few inches from the ball. Then, with your kicking leg swinging back and bending at the knee, snap your foot forward with your toe pointed down and kick the ball with the instep of your foot.

Backward Pass - Sometimes you will need to pass the ball backward. This is done all the time in professional soccer. There is nothing wrong with passing the ball back in order to get your offense set up and maintain control of the ball.

Now that's probably not 'every' definition available but they pretty much say the same thing apart from ‘on-the-ground’ by Wikipedia – a pass is a transfer of the ball from one player to another…

In closing… 

As noted earlier – I’m not really sure what right looks like but I remain convinced that all these organizations are well-intentioned in offering up free statistics for others to use, be it for analysis, fantasy league or simply to check it out.

In my own effort to develop more comprehensive measurements and indicators a standardized source of data for the MLS would be beneficial – if the intent for MLS is to endorse OPTA then there remains a conflict as Golazo clearly does not use the same data filters as the Chalkboard.

My vote, is and will remain, keep the Chalkboard and then, MLS, consider ways, as OPTA (Perform Group) is now, to improve it for more beneficial analysis.

Here is Part II  - where I peel back a wee bit more - consider these phrases, successful crosses, launches, key passes, through-balls, throw-ins and more, as ASA continues its venture into Soccer Analysis in America.

Here’s a few paraphrased thoughts from other folks who offer up articles on ASA about this issue on passing statistics:

Jared Young – The massive difference in pass data between sites is troubling and disturbing;   I’ve been primarily using whoscored.com and golazo for my numbers so I may have to explore other options.

Cris Pannullo – Major League Soccer should take an initiative and define what pass means in their league; it is surprising that they haven’t given how popular things like fantasy sports are; people eat statistics up in this country.

All the best, Chris

You can follow me on twitter @chrisgluckpwp

A Look At The Weekend Performances Within the Final Third

I just recently discovered that the Golazo web application---with up-to-the-minute statistical game information courtesy of MLSsoccer.com---provides details for teams in the final third. Sadly enough they don't keep the data available for long so I took advantage of a late evening to tally up the following numbers over the nine MLS matches this weekend. Below are the passing rates for each team in the final third of the pitch.

 Team Pass Completions Pass Attempts Pass Percentages Opponent
Union 68 105 74.20% Vancouver
RSL 68 98 72.40% NYRB
NYRB 89 131 69.10% RSL
San Jose 60 97 67.50% Portland
Houston 92 141 67.30% Chicago
Portland 91 146 66.40% San Jose
New England 72 121 66.20% DC
DC 69 115 64.10% New England
Sporting KC 75 121 63.50% Montreal
Colorado 64 113 63.30% LA Galaxy
LA Galaxy 69 121 63.20% Colorado
Toronto FC 85 137 62.90% Columbus
Columbus 54 107 62.50% Toronto FC
Seattle 67 117 61.50% Chivas
Chicago 57 103 61.10% Houston
Vancouver 51 102 55.30% Union
Chivas 54 108 52.00% Seattle
Montreal 31 80 50.80% Sporting KC

There really isn't much in the way of true context at this point. Some of this is information is still about style rather than performance, but comparing the results and then applying some added data will be interesting. I wonder what, if anything, can be determined by this type of data.

I'd love to hear inputs from all you smart people.

Possession Confusion Update

I wrote back in May about the paradoxical nature of OPTA's possession statistic in MLS---how more possession corresponds to better shot ratios, better shot ratios correspond to better goal differentials, but somehow more possession does not correspond to better goal differentials when we control for certain variables. In fact, I found that once I controlled for the teams playing in a given game, possession had a negative correlation with goal differential and winning. The new data agrees with the old. Correlations suggest that team possession still correlates positively with scoring attempts (p-value = 0.01), scoring attempts still correlate positively to goal differential (p-value = 0.02), and now with more data, possession is also positively correlated to goal differential (p-value = 0.01). That all seems to line up with logic, but the paradox from before still exists.

When I look game-by-game and control for the home and away teams, in-game possession has a positive correlation to shot ratio, but a negative correlation to goal differential. In other words, the team that has more possession in a given game tends to also earn more shot attempts, but still loses more frequently than we would expect. As mentioned in the first article back in May, this seems paradoxical. I had some theories in that article, but reader David Stringer got me to think about another logical explanation.

Teams that develop leads tend to sit back more defensively, and often are satisfied allowing the opponent to possess all it wants in less dangerous parts of the pitch. A team that has a lead in the second half probably  got that lead because it was generating more opportunities (read: attempts). It makes sense that the team that eventually went on to win also produced better shot ratios early on before getting the lead. After getting the lead, the team in front was willing to give up extreme possession relative to a more neutral shot rate. Thus it ends the game with poor possession, but a still favorable shot rate.

Just a theory, and I'd love to hear about other ideas! The stats are definitely not lying. These correlations are very real, but the causes for the possession paradox are still elusive.