Atlanta United Venue Analysis: Bobby Dodd Stadium vs Mercedes Benz Stadium vs Opponents Stadia

Josh over at Dirty South Soccer wrote a really nice piece on some of the observable differences between Atlanta United playing at Bobby Dodd and Mercedes Benz. Click here to check that out. I’m not as eloquent or as wise as him, nor as versed in soccer tactics, but I wanted to just drop some data / graphs in here that I’d been tweeting about in recent weeks to add to this comparison.

First up, here’s a table I keep to track some of the Atlanta United tidiness stats.

VenueTidinessCompare

Takeaway1: Atlanta are tidier on the ball at home, and more tidy on the ball at the Benz compared to Bobby Dodd. This shows up in the own-half passes per giveaways and own-half passing % metrics.

Takeaway2: Atlanta are suppressing opponents’ shots (and shots on target) at home, and most impressively at the Benz. The result is improved expected goals against figures as well as improved goals conceded figures.

Tweets that support this:

Next up, the pressing stats for Bobby Dodd, Mercedes Benz, and away matches:VenuePressingCompare

 

Takeaway1: Interestingly, while Atlanta United pressed more furiously and to greater effect at Bobby Dodd than on the road, the pressing numbers come down quite a bit at MBS – could be schedule congestion and fitness conservation – could be larger pitch makes it harder to press opponents into mistakes.

Takeaway 2: ATL Goals and Expected goals have trended up furiously at MBS compared to Bobby Dodd, both being higher than the average away matches output. Expected goal data comes from AmericanSoccerAnalysis.com as always.

 

Game by Game Pressing/Tidiness Game Stats (I hadn’t posted these here since the FCD match.

Finally, I wrote something about the inevitable sales of Atlanta United players and how this works out with the current MLS rules.

https://www.dirtysouthsoccer.com/atlanta-united-fc/2017/10/19/16465762/mls-transfer-rules-regulations-fees-percentages

God speed to everyone in the postseason.

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Updated table math and squad rotation and what’s left to play for

I wrote a piece for DirtySouthSoccer, which you can find here, where I update us all on the PACE standings as of Monday 9-25-17. Then I ponder some difficult questions around whether one can rotate the squad when there’s still so much left to play for. #4 comes with homefield advantage in the play-in round, #2 comes with a first round bye. Atlanta are favored to achieve both of these, but the Almiron injury…

Atlanta United FC 3 – 0 FC Dallas

Chance Dominance & Efficiency in the Final Third

In the first ever soccer match at Mercedes Benz Stadium, Atlanta dominated the score sheet with a 3-0 victory and created their highest single game tally of expected goals (2.8 per ASA) this season. The team held FC Dallas to 0 goals and 1.2 expected goals (this spread is partly luck and partly Guzan). And the resulting 1.7 xGD is the highest winning expected goal difference for the club this season. All this points to dominance by the Five Stripes, and I think that’s probably fair. The box score suggests dominance as well:

Game Stats

However, I would say as a fan, I only felt comfortable in the second half. FC Dallas’ only two shots on target were two very good chances that Guzan had to make big saves for.

FCD on target and blocked
Green (SOT) early in 2H. Yellow (blocked) all in 1H.

And as dominant as Atlanta were in the end, those types of games will occasionally go south depending on the ordering of events and the direction of some bounces. I’ve included a map of all 5 of FC Dallas’ shots on target and blocked shots. They’re all very good chances, and would’ve altered events.

 

On the Atlanta side of things, 12 of 19 shots being put on frame is a high number (63% vs the league average 36%). The home side were exceedingly efficient at turning shots into #problems for Jesse Gonzalez. But as I recall, they were also much more efficient at turning attacks into shots (contrast this with away at Orlando where many counters and other attacking moves ended up just shy of registered shots). Touches Around Box - ATLWhoscored has Atlanta at 27 touches inside the box, with an insanely high 8 firing within the 6 yard box. While a few of the 19 were from range, 19 shots on 27 touches inside the box feels pretty high to me – it feels *very* efficient. Because of all of this, I would not describe Atlanta’s 25% SOT conversion in this game as wasteful or as evidence of “sloppiness in the final third.” I would say the team were mostly lights out efficient in turning attacks into threats and threats into huge threats. Jesse Gonzalez stood on his head some, but at the same time, even while putting on massive shots and xG numbers, Atlanta still bested the 2.8 expected goals with 3 actual goals. I would say finishing was not a problem in this one.

That all being said, while it’s not surprising to hear very bullish talk of the team challenging for a top 2 spot in the east, along with talk that the wider and deeper playing surface has offered us a glimpse at a new normal for Atlanta where they will dominate every away side with pace and tenacity, (inhales) I expect we might see the team be slightly less efficient going forward at turning attacks into shots, slightly less efficient at turning shots into shots on target, and slightly more efficient at turning shots on target into goals (as has been the trend so far this year). I don’t feel too strongly about it. I’m just hesitant to think that what we saw against FC Dallas is what we’ll see going forward because of a bigger field and a slicker surface.

Pressing & Tidiness

Pressure FCD Table.PNG

These pressing numbers seem fairly standard for Atlanta with the exception that Dallas was slightly tidier than a typical Atlanta opponent. This may have been impacted by the severe game states of Atlanta leading for most of the game and increasing its lead as the game went on. Also both teams played more own-half passes than I’ve been seeing in these numbers. Atlanta’s 225 higher than its season average of 195, and FC Dallas’ 163 higher than Atlanta’s opponents’ average of 126. Perhaps this is the bigger pitch showing up, hard to tell. I thought Atlanta’s press was somewhat more ruthless than these numbers show with several balls won back quickly after a turnover, and quickly converted into through balls and other transition moves.

Atlanta’s defensive actions in the first half (left) and second half (right):

This is somewhat surprising given what I thought I observed which was a press that slowed somewhat in the second. I think in the second what you’re seeing is more counter-pressing — pressing to win the ball shortly after losing it to keep Dallas from countering.

Shape

We saw a return to the more pronounced back-3 shape with Larentowicz eager to join the other centre backs when in possession (LGP and Parkhurst in the left graphic, Jeff in the right).

Asad and Almiron seemed to connect over and over again with great effectiveness on the left. I can’t tell just yet if we should credit the larger pitch or not. It very well could have been the case that they each felt more comfortable on the ball with the defense stretched both laterally and vertically by the speed of Martinez and Villalba (and also Almiron). Jason Poon suggested that Atlanta and Almiron specifically targeted Dallas’ right back Grana. And that might very well have been the case. On the left below is the chalkboard for Garza + Asad, and on the right the map for Almiron, who does seem awfully left-leaning for a central playmaker. Asad drifts inward some but no more than usual. Anyhow, the key passes coming in from that side from these 3 players alone is … it’s high.

Walkes and VillalbaOn the right side, there has been some criticism recently that the Garza/Asad dynamic of the fullback stretching the defense wide and the attacking midfielder tucking in wasn’t being replicated to the same degree of success. In this game however, I noticed Villalba tucking in often nicely into pockets between the lines to receive the ball. We don’t see the same degree of advancement from Walkes that we might see from Garza game to game, but the variety in attacking width on the right seemed to work well enough.

 

 

One last look at the attacking passes for each team. You can really see a contrast in style between the two. The first half below, Atlanta on the left and Dallas on the right:

FC Dallas obsessed with width. Atlanta just killing them from the most dangerous areas. In the second, it’s a little bit more varied as Dallas chased the game.

I’ll have to cut this one off now. Too many games.

In short, this game was a lot of fun. It’s possible the larger pitch is super-charging the team, but I want more evidence before we call that one. Atlanta was extremely efficient at turning attacks into shots, but Gonzalez was also a disruption. Guzan was very good. Atlanta good. Dallas bad.

 

 

Atlanta United and Finishing Chances

Finishing. This is not the fist time I’ve approached this topic on this here blog. But as we drive deeper into the season, it’s an increasingly difficult topic to ignore for Atlanta. While its easy to lament missed chances and their impact on points dropped in the table (think of DC home match), the truth is that Atlanta United are a statistical outlier, finishing an exceptionally high percentage of their chances relative to the rest of the league, and outperforming their expected goals by the widest margins we’ve seen in MLS. It begs the question…

When it comes to converting shots into goals, are Atlanta luckier than most or better than most? Stick around. I have charts!

Background:

Evidence has shown that in soccer, consistently creating good chances and limiting your opponent’s chances is a key success factor. The rate at which your chances are converted into goals may come and go, but whatever it is that you do that creates more and better chances and limits the quantity and quality of your opponent’s chances is the secret recipe, the valuable IP that makes a team good. In fact when trying to predict a team’s future performance, the number and quality of its past goal scoring chances compared to those of its opponents is more often a better predictor than its past goal differential.

And it’s because of this that when you see a team with an exceptionally high shot conversion rate, you are supposed to be worried that the team will perform worse in the future than it has in the past — that its past results are due in large part to something that won’t be repeated in the future (chance). This fear could be comforted if the team were taking higher probability shots than the rest of the field (the sort of thing you might measure by looking at the team’s expected goals per shot – EDIT: STOP WHAT YOU’RE DOING AND WATCH THIS VIDEO), but generally speaking high conversion percentages are red flags.

Atlanta United’s historically high shot conversion and exp. goals over-performance

Atlanta United has an exceptionally high shot conversion rate. And it has achieved this all season long. Atlanta are on top of almost every flavor of shot conversion chart (shots, shots on target, open play shots, etc). As an example, immediately below is the shot on target conversion metric through the 21 games or so in 2017:SOTConv

And here are the shots on target conversion rates for all teams from 2012 – 2017 YTD:SOT conversion

So it’s not just the highest SOT conversion rate in MLS at the moment, but it is historically high (only 2014 Dallas and 2013 Red Bulls top Atlanta’s 2017 figure), although curiously a few teams this year are also very high . Does Atlanta have a high shot quality per shot (xG/shot) number to prop up this high conversion percentage? No, they don’t. It’s middling at best. See a helpful graphic of MLS shot quality and volumes from AmericanSoccerAnalysis here. Another way of looking at this is to look at Atlanta’s goals scored compared to their expected goals. Atlanta are averaging 1.9 goals per game against an expected goals per game figure of 1.3. They’ve scored 15 more goals (41 vs 26) than MLS teams historically have based on the volume and location and other attributes of the shots they have taken (based on publicly available data). And again to prove the point, this will look familiar, but here’s how Atlanta looks historically in terms of their goals scored above expected goals per game (it is the highest recorded):G-xG all years

In Search of an Answer

So what do we say about this? As we’ve discussed before on the blog, the possibilities seem to be as follows, and a combination of these is likely:

  1. Atlanta are luckier than most.
  2. Atlanta are more skilled at shooting than most.
  3. Atlanta are taking better shots than most, which is propping up the high conversion number; however, the models we have for measuring shot quality (expected goals) are struggling to properly value the particular shots Atlanta are taking.

Shot Accuracy (also historically high)

Quickly, on #2: Skill, I’d like to point out that not only are Atlanta putting a higher percentage of their on-target shots past the goalkeeper, they are also putting a higher percentage of their shots … on target — testing the keeper at a higher rate than anyone else. And while, like shot conversion percentages, this isn’t a perfectly repeatable stat (repeatability suggests skill is involved), it is more repeatable than conversion. First, here’s the shot accuracy of 2017 MLS teams (shots on target / shots). Atlanta kills it.ShotAccSome pretty good teams at the top, but some also dispersed throughout if I’m honest. And below are the shot accuracy rates by team from 2012 to 2017 YTD:Historic Acc

Once again, that’s historically high. Only the 2015 Sounders put a higher percentage of their shots on target. And again curiously, another 2017 team is right there with Atlanta, this time the Fire.

I’m tempted to suggest this very high accuracy number is evidence of either #2 (shooting skill) or #3 (Atlanta’s chances being better than the models suggest). I can’t really prove that first idea but it seems plausible. The second one — I don’t know — I think I remember something about shots on target including some bit of embedded information about the quality of the chances (since its easier to put a high quality chance on target than a low quality one). To my eye, watching the team, it doesn’t feel like they are lucking into a high percentage of shots on target. The team really seems to prefer to not shoot until they’ve set up an open look. Many good opportunities end before a shot is generated as the team works to find a better shot by passing or dribbling — this sounds a little bit like *gaming xG* but I can’t be too sure.

Shot Openness: Dissecting all the goals

I haven’t looked at every single shot taken this year by the Five Stripes, but if we look at all the goals (yep all of them, many of them here: thanks Whitecaps), a very high percentage of these are 1v1 against the keeper (and several are empty net opportunities), or there are very few opposition outfield players between the shooter and the keeper. This type of “openness” of a shot has a big impact on its chance conversion, but most expected goals models can only “guess” at the the openness of a shot based on other event data context. They don’t “see” the openness, but they might see that the shot was assisted by a through ball or that the buildup was defined as a “fast break.” I tried to record a bunch of admittedly judgmental shot quality attributes for all these goals. See below for a summary of what I compiled watching every goal, looking out for certain “openness” attributes and then I’ll compare it to another team:

Shots through 22

I haven’t done this for all MLS teams because of time, but what jumps out to me are the 26 1v1 chances, and the 35 chances with 1 defender or fewer between the shooter and the keeper/goal. My gut is that these figures are high compared to the league average (which I do not know). For comparisons sake, I picked another team, New York Red Bulls and gave them the similar treatment of watching every goal scored and capturing “openness data.” I chose them for two reasons, first they are currently running neck and neck with Atlanta for the 4th seed in the playoffs (and a first round home match), and secondly (and more importantly), they are an example of a very good team that’s not crushing its expected goal numbers like Atlanta is. In fact they are slightly under-performing. So I was interested to see if there’s a significant difference in the composition of the goals scored. There is.

NYRB Goals

Across the board NYRB’s goals feature slightly fewer “openness” attributes, except they do a great job of finding BWP in the 6 yard box. If we compare them side by side it’s somewhat easier to see.

ATLNYRB

Is this the difference between a team overperforming its expected goals by historic margins (+0.6/game) and a team slightly underperforming its expected goals (-0.11/game)? Here are the distributions of defenders in between the shooter and the keeper for Atlanta vs Red Bulls.

 

Again, we can feel confident it’s either 1) chance/luck and Atlanta really aren’t as good in attack as the results show, 2) Shooting skill with Atlanta being better at finishing than most other teams, or 3) the quality of Atlanta’s chances (primarily related to their “openness”) not being picked up in the event data based expected goals models.

I would suggest it is a mixture of all three with the above “goal quality attributes” hinting gently towards #3. And perhaps Atlanta’s three designated players being signed into the attacking front 4 hinting gently towards #2.

Let me know your thoughts. What am I missing?

I should note that watching all of a team’s goals is a fairly weak attempt at trying to identify other shooting attributes that might be contributing to outliers in shooting efficiency and that looking at every single shot would be a much better exercise (and even still a flawed one). But I don’t know how to get the footage and honestly I don’t know if I could do it. This is at least something. I think it’s better than throwing one’s hands up and saying “welp, Atlanta are lucky” or “welp, Atlanta are master finishers.”

Expected goals data comes from AmericanSoccerAnalysis. If you read this regularly you probably know that by now.

Post credits Scene hinting at more shared universe titles to come

While I was digging through finishing metrics (primarily goals minus expected goals figures), I noticed something interesting that I’m not sure how to interpret. There’s reason to believe its further proof that there’s significant “openness” of shots not being appropriately valued by expected goals models. Basically, if you look at G-xG distributions between home and away matches you see notable differences. The home distributions stretch out more positively with large totals of significant overperformance games showing up whereas the away matches look more like a normal distribution but tilt slightly in the direction of under-performance.

 

 

If you take all these distributions as a percentage of the total and chart the differences in percentage share by bin between home and away you get the below image, which more clearly shows the lean towards an over performance in finishing for the home team relative to the away team.2017 home away bins 10

 

This is 2017 data for all MLS teams over 22 or so weeks of the MLS season, so it’s a good number of games and it runs the full spectrum of good and bad teams. It would suggest that either 1) teams shoot better at home, or 2) when playing at home teams get better chances than the models are able to capture in xG. The first should be dubious to anyone that thinks finishing generally averages out across all shots. The second one makes more sense with what we know about home field advantage in MLS, that it definitely exists. It doesn’t seem too wild to think that teams create better chances at home, and perhaps even chances that are better than the expected goals models give them credit for. But that’s just 2017 data. What does the 2011-2017 data show? Well, it’s both a) much less pronounced (smaller differences between bins between home and away), and also b) home teams seem to both significantly over-perform and significantly under-perform more often than away teams. 2011-2017 home away bins 10

So that leads us back to something strange going on in 2017, which could very well be a skew driven by Atlanta United, or a shift in the landscape of finishing for MLS in 2017, or an increase in the types of good chances that are undervalued by models? Or… variance working its way out over the course of a full season.

Appendix: Assorted resources on finishing skill in football

https://cartilagefreecaptain.sbnation.com/2014/4/25/5652640/player-finishing-skill-is-real

http://www.optasportspro.com/about/optapro-blog/posts/2014/on-the-topic-of-expected-goals-and-the-repeatability-of-finishing-skill.aspx

http://statsbomb.com/2014/03/thinking-about-finishing-skill/

http://www.optasportspro.com/about/optapro-blog/posts/2017/blog-re-examining-finishing-skill/

http://statsbomb.com/2017/07/quantifying-finishing-skill/

http://www.americansocceranalysis.com/home/2016/4/4/does-finishing-skill-matter-in-mls?rq=finishing

http://www.americansocceranalysis.com/home/2016/10/18/is-finishing-real-heading-towards-a-conclusion?rq=finishing

There are many others out there, plus I’ve discussed it occasionally in ATL match previews and recaps on this blog.

 

July 21: Orlando 0 – 1 Atlanta (a return)

Back after a brief hiatus. Thanks for your patience. This one (which I watched from my couch on pins and needles) was fascinating. It felt like a smash and grab in the immediate aftermath, but we’ll investigate to what extent that sentiment is accurate. Let’s just dive right in.

Shots

OCSC outshot Atlanta 13 to 8 and many will tell you they should have won.  Most* expected goals models show something that many would interpret as Atlanta lucky as all hell to leave the state of Florida with any points, let alone all three (here’s one):

11tegen11 race xg
@11tegen11 shows Atlanta producing very few low quality shots in this one. With Orlando creating more, including the 1 very, very big header chance off the set piece (saved by Guzan).

And for good measure, FiveThirtyEight also had the shots-based xG at 1.2 – 0.4 in favor of Orlando. At time of posting ASA’s numbers aren’t up yet, but they’re normally similar.

Here are the shots:

OCSCshots

So, was Atlanta actually lucky and Orlando unlucky? Not so fast. Atlanta is perhaps fortunate that some of the Orlando shots weren’t put on frame, and Atlanta won’t count on a dream strike from Tito every match, but Orlando can always shoot better, and they can close down a striker cutting inside with the ball on his dominant foot. If we’re going to give cosmic credit to teams for shots they would normally expect to put on frame but didn’t (or for close headers that are scored more often than Guzan let them in this game), we should look into giving some credit to attacking moves that are normally converted into high quality shots, but that may not have been (namely those of Atlanta). One such way to accomplish that is to calculate an expected goals value from non-shot events data, and FiveThirtyEight happily includes such an estimate alongside its shots-based expected goals model (check the last row).

538 exG

Taking into consideration some of the more dangerous moments Atlanta created but that did not result in shots shows a more even match, and for my money, that’s the true story of the game (though I do not fully understand everything that goes into their model). The total number of touches in the penalty box and surrounding areas seems similar as well (these coming from whoscored.com).

ATL Touches in the Box

Atlanta may have been lucky to take all 3 points and the teams largely played evenly to a draw, but there’s nothing wrong with taking 3 against a #rival because of a beautiful goal. And no, I do NOT think Orlando have a claim to have outplayed Atlanta on this day. I’ll do my best to make the case for why.

Flow of the Game: Atlanta pressed high. Orlando didn’t.

First off, aside from the first few moments after the whistle and a handful of half-hearted other attempts, Orlando rarely pressed Atlanta’s back line in this game, and they were happy to cede the lion’s share of possession to the away side. Atlanta attempted 63% of all passes attempted in the first half, and 49% in the second, for a combined 57% of passes attempted in the match (aligns with the official possession figure of 55%). See below for a pretty common initial look from Orlando when Atlanta were starting play.

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Basically, as we’ve seen several times this year, Atlanta played like the home side, and Orlando looked to absorb and counter, which — look, that’s totally a valid game plan, especially against the Five Stripes as I’ve mentioned before — but when you’re playing at home with this sort of reactive approach, it seems more likely that a weird moment can slide you from a drawing position into a losing one rather than from a winning position into a drawing one (the more likely ‘oops’ that a proactive team like Atlanta should look out for over the second half of the season). To boot, here are the patented Tiotal Football Pressure & Tidiness Stats for the game:

PressureOrlando

What we see here is 1) Orlando generally choosing not to (or failing to) disrupt Atlanta’s buildup play, allowing the away side to start possession calmly and 2) Atlanta not allowing Orlando the same privilege. Remember ATL are averaging 190+ own-half passes and 33 giveaways per game, for something like 7 own-half passes per giveaway. And their opponents are averaging 130, 30, and 4.3 against ATL. In a recent post over at DirtySouthSoccer I had posited that while these averages create a somewhat advantageous equilibrium for the Five Stripes, perhaps there was a slightly higher level they could move to in terms of “tidiness”:

“The question is, is it the equilibrium Tata Martino (and Darren Eales) aim for (?), or is there a possible equilibrium where Atlanta is shaving off a handful of giveaways per game and still maintaining their pressing effectiveness and ball control? Could we see the team average 25 or fewer giveaways per game down the stretch while still turning their opponents over 30+ and forcing the long balls?” (DirtySouthSoccer)

Well, that worked out quite nicely! Here Atlanta are a mere few days after I wrote that piece, putting up a much tidier overall performance while still creating havoc in their opponent’s half (partly due to Orlando not trying much to disrupt). The second half is a bit mediocre from both teams – partly the humidity I expect. Atlanta’s press slowed slightly in the second, though still higher than Orlando’s. But why didn’t the successful Atlanta high press turn into shots, chances, expected goals, goals you might ask? I’m tempted to blame chance in the same way analytics folk often blame chance for conversion rates that might seem too low or too high.

Pressing Moments

To my eye, there were several successful pressing moments that just barely did not come off in terms of creating shots, but on another day they might’ve. To paint a picture, here are just a few I noticed:

  • In the 13th minute, Atlanta press generally pretty well chasing the ball around Orlando’s half, and they create an unsuccessful touch or two, but it’s just barely recovered by Orlando — I might call it luck. In many games the ball bounces the other way and Atlanta are off to the races.

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  • In the 14th minute, Asad pins Orlando back deep only for the player to narrowly escape him to find a centre back who boots it long, but it is intercepted by LGP well inside Orlando’s half. A 1-2-3 in quick succession nearly finds LGP through on goal for a 1v1 chance. Gressel’s throughball is narrowly caught out. Orlando were almost punished for their loose possession — we were closer than many realize to the game changing drastically this early. But no Atlanta shot was registered.

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  • In the 40th minute, Atlanta forces a long ball from Bendik, and then immediately presses the wide player causing a terrible back pass and a massive chance for Almiron through on goal, but again no shot is registered because of a desperate retreating slide tackle from OCSC.

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These were just a few I grabbed screens of, but generally speaking Atlanta created a ton of danger for Orlando City in this game from the press that simply wasn’t resolved into a shot in the box score, and therefore had no associated expected goal value, and on and on. Be cautious if you suggest Atlanta were overly fortunate. There was some luck. There normally is. But there was also Atlanta executing their game plan.

Buildup Moments

Given the lack of a high press from Orlando (or the occasional attempt at it), this match was also a nice view into the kinds of buildup patterns Atlanta aim for against what was often two banks of four. I think this is interesting because we are often wondering whether Atlanta can create from buildup play (instead of just from turnovers). And I’ve been obsessed with whether or not Atlanta are improving the tidiness required to play this way. Here are a few key moments that I found illustrative, and buried in here are some very good near chances – more of those kinds of things that don’t show up in the shots/xG totals:

  • In the 2nd minute, Atlanta passes through a fairly high Orlando City position to create a very nice attacking look. This may have been one of the moments that persuaded Orlando not to press high as much.

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  • In the 15th minute, Atlanta plays the ball forward through their own half largely uncontested, and play really begins with the classic “Asad-tuck-in-Garza-overlap-Almiron-shows-for-the-ball-triangle” (TM). This is Atlanta’s Plan A it seems to me. The buildup culminates with 3 Atlanta attackers narrow moving into the box with Almiron the ball behind them, and Garza and Walkes in plenty of space wide. Then they successfully work the ball into the danger area, but fail to find a shot. Great buildup play on the road in a hostile environment.

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  • In the 23rd minute, there’s this nice little flick (link to MLS clip) coming from back to front as LGP finds Almiron in space centrally and he plays Asad through nicely.
  • In the 36th minute, we see Plan A again: calm and conservative buildup from the back. Asad tucked in, Garz/Asad/Almiron/Tito combination down the left. Narrowly called offside though I don’t see it. Another one of those very good plays/ very dangerous chancs that doesn’t show up anywhere in the numbers.

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  • In the 63rd minute, you see another very high quality concept from Atlanta in buildup (similar to the last one). Under basically no pressure from Orlando’s forwards, the Atlanta de facto back 3 is able to rotate the ball around with ease and then Parkhurst can pick out Almiron dropping between the lines. Again, if I’m offered this position, I play it. It didn’t come off but a very nice buildup.

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  • In the 78th minute, we see Orlando nominally pressing high but with little effectiveness. Atlanta plays the extreme short buildup concept, and Garza makes a safe choice to play direct under a little bit of pressure (denies a giveaway opportunity for Orlando). The ball is headed back to the midway line by Orlando and Atlanta wins the second ball, and look at that final position: 4v2 in the attacking third. Again, another very dangerous situation. Just missing the final ball/move from the away side.

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On balance, if you told me I was playing away in a hostile environment and gave me the choice between these types of moments and a couple admittedly good header opportunities off of set pieces, I think I’m taking these — before we even get to Tito’s Level 99 Thunderbolt. Jesus what a goal. I don’t have much to add to that. I think Rob at DirtySouth has some good points about Tito potentially lining up on the left for shots such as this one, and for other reasons.

And that’s basically what I wanted to get across. Shots-based expected goals did not tell the whole story of this one. And oddly, this seems to happen often with this team. It may have felt like a heist in the middle of the night with Guzan’s very nice saves, and Tito’s fireball, and Will Johnson’s miss, but on balance, Atlanta accomplished what they wanted to in the press and in buildup, and occasionally you’ll have games where it’s hard to convert that into end product. It’s the nature of the sport.

Oh, two quick comments on team shape.

First, I thought it was cool to see Jeff Larentowicz in a more pronounced back 3 for most of the game, which is the correct “by-the-book” move against a 2 forward setup from Orlando.

Second, late in the game a fascinating thing happened. Jason Longshore was the first person I saw who mentioned it (on Monday’s SoccerDownHere show). Martino had Atlanta line up in a sort of false 9 4-3-3 type look, with Almiron leading the line, flanked by two more traditional forward type players, Villalba on the left and Vazquez on the right. There were a couple nice moments in this – one was THE GOAL. The other involved Almiron picking the ball up in the half space, dealing it to Walkes wide right and collecting it again for a shot just outside the box. I think this is something to keep an eye on. The only other time I remember seeing something like this was against Toronto where Almiron played centrally flanked by Villalba on the right and Asad on the left. I might like to see this look with Villalba on the left, Martinez on the right, Almiron central, and Asad sitting behind him as the furthest forward in a central midfield triangle.

PACE STANDINGS AS OF 7/26

I’ve described these in further detail over at DirtySouth, but basically because MLS’ schedule is less balanced than a traditional European league, we shouldn’t look at the table “straight” the way we might look at the Premier League table. Once you make some adjustments for games played, and home/away splits, you get a better picture of how teams are actually doing. Atlanta are doing well. See below:

Pace 1: Win away, Draw Away Measuring StickPACE1

PACE 2: Historical MLS Home/Away Average Points Per Game Measuring StickPACE2

 

High Press and Possession – Midseason Review

I put together something over at DirtySouthSoccer summarizing and reviewing all of the pressure/tidiness type stats you might see on this blog all the time. I sort of like how ti turned out. Please check it out here:

https://www.dirtysouthsoccer.com/2017/7/18/15950458/style-of-play-statistical-analysis-atlanta-united-high-press-possession-buildup-tactics

Player Tidiness

A poor excuse for a catch-up post (7-17-17)

Thought I would drop in a few pressure/possession tables for the most recent few games, which I have not covered on the blog at all during a period of absence.

First, the Five Stripes hosted Colorado, winning 1-0 on 1.9-0.8 of shot-based expected goals (ASA).

COL pressure table

Next, the return leg in Columbus, a 2-0 victory compared to 1.2-1.3 xG (ASA).

ATLCLBpressure

And lastly, a weird one against a 10-man San Jose, in which Atlanta won 4-2 on 2.6-1.3 expected goals based on the quality and number of shots.

SanJosepressure

Overall these were some decently unique games in terms of pressure, tidiness, and chance quality. Colorado didn’t even attempt to press Atlanta, and it shows in the above average tidiness figures for the home side. Colorado couldn’t hold onto the ball in their own half, putting up an abysmal pass per giveaway number while generally limiting the damage from lost possessions in their own half. Against Columbus, Atlanta actually sat back slightly (partly cuz game state) and hit long over the top with some success. We’ll look back on this one as a very rare gem, I’d imagine, for a number of reasons even if they couldn’t limit the giveaways against a pressing Crew FC. And then against San Jose, the first half press numbers are interesting as San Jose gave as much as they got. But the second half went as one would expect with the Earthquakes down a man. Atlanta barely spent time in its own half, and simply did not turn the ball over back there. Atlanta’s pressure on San Jose in the second was impressive.

Atlanta’s averaging 7 own-half passes per giveaway compared to their opponents’ 4.3. That 4.3 number feels about right for a high pressing side. We’ll see if that 7 budges going forward.

Atlanta continue to “run hot” against the expected goals models. I put up a poll asking whether we thought Atlanta’s results would continue over the second half of the season at their current GD per game pace (+0.5) or decline somewhat towards their expected goal difference per game of (-0.3). It was unanimous for the former, which I found interesting. But everyone seems right at the moment…

There will likely be something from me on DirtySouthSoccer.com this week. Be on the lookout.