2017 MLS Playoff Opposition / Matchup Analysis: Columbus Crew

This is exciting…

The return of match previews / opposition analyses, whatever you want to call them. Hello wordpress. It has been a while.

Atlanta United (#4) plays Columbus Crew (#5) at 7pm Thursday October 26, 2017 with #Narrative abounding. Quickly just to set the narrative table, before we get into the useful stuff:

  • Columbus Crew are probably getting moved to Austin, TX after the 2018 season
  • ATL were inches away (multiple times) vs TFC from earning a first round bye
  • Atlanta United fans boo’d the most recognizable US National Team players vs TFC
  • Both teams played Sunday afternoon/evening after a week of rest.

I am going to preview this matchup / prepare a stats-based opposition analysis.

First, to relive the home match at Bobby Dodd Stadium earlier this season, check out my old post here. If I’m honest, the content was better then. That was a fun match.

Goal Keepers (we’re going to go back to front, sorta):

Atlanta United have one of the best goal keepers in the league. Possibly the best. AmericanSoccerAnalysis has a model for measuring the average number of goals a keeper will concede on average for a given profile of shots on target he faces. If you compare the goals Guzan has conceded to his expected goals based on this method, he leads all keepers but one in MLS with -0.28 per game. Only Tim Melia’s -0.36 per game tops it. Crew SC’s Zack Steffen, on the other hand, is 18th out of 22 starters in the league by this metric, conceding 0.13 more goals per game than the model would suggest. See below for a visual. Red dots are playoff teams.GK Season Review

In terms of distribution, Guzan leads the league in pass completion rate, largely because he plays the highest percentage of short passes in MLS. Steffen is 7th in MLS and not so far off substantively. Columbus likes to play it short out of the back as well. See below:

GK Distribution Season Review

Style of Play

One metric to use for style of play comparisons is Cross to ThroughBall ratio. If I look on whoscored I can get this for key passes only (couldn’t find throughballs that don’t result in shots – probably because they are rare). Columbus looks similar to Atlanta in this regard:

CrosstoKP Season Review

Another metric we can look at is the portion of a team’s total passes that are long passes. Columbus plays the second fewest long balls in MLS (behind NYC). They are technically proficient and like to play the short passing game.

Long Passes Season Review

When Columbus visited Atlanta earlier in the season, they upped the percentage of long balls to 18% (16% in the first half). Even at home in Columbus, they passed long slightly more often – likely to combat Atlanta’s high pressure and bypass the midfield (to minimize turnovers). Here were the pressing/tidiness stats from those matches.CLB1 reviewCLB2 review

Across the two games, Atlanta turned Columbus over in its own half 6 times per own-half pass on average, which is a slightly less furious pace than Atlanta’s home average of pressing its opposition into errors every 4-5 passes. On top of this, the Five Stripes are disrupting opponents’ own-half buildup at a lighter pace in Mercedes Benz stadium, whether due to fitness conservation or the size of the pitch, or another reason. giveaways season reviewThis all adds up to make me wonder if we are going to see the same sort of high pressure success on Thursday. This worries me as an ATLUTD supporter because I know the team is comfortable simply releasing the hounds of pressure.

Centre Back Distribution

Since we’ve established both teams like to play from the back, let’s see how the centre backs stack up in terms of distribution. Below is a graphic of pass completion % on the Y and Long Ball % on the X, with Crew SC’s starting defenders colored yellow and Atlanta’s red:CB Distribution YE Review

Both teams appear to be above average passers based on this simple metric, and surprisingly, Atlanta’s CB’s actually play long balls slightly more often than the average centre back with over 15 appearances this year. If I had to pick a Crew CB to focus on turning over it would be Mensah, just slightly. ASA has a handy tool that’s more sophisticated than what I graphed above to measure passing skill, which they call xPassing.

xPass CB Season Review

According to this metric, all 4 starting CBs pass at a more successful rate than one would expected for the types of passes they attempt. Columbus’ duo shows up slightly better here. For anyone worried about Parkhurst not being fit for Thursday, these metrics show Larentowicz as slightly worse than LGP on this metric (but still positive), and Walkes as a worse distributor (-5.3%).

Atlanta created a goal in the first match when Asad stole the ball from the back line and found Villalba in the danger zone for an easy-looking put-away. But based on the above data, I wouldn’t label this as a particular opportunity for Atlanta to exploit. Columbus is pretty good at keeping the ball and playing it on the floor from back to front.

In the first match (BDS) Columbus did not press exceedingly high as Atlanta advanced, waiting until the ball reached the top of the center circle to engage. And this worked generally well for them in the first half, creating a few good transition chances from picking off passes from the ATL centre backs at midfield. If Boswell or Walkes play in place of Parkhurst, expect this to change (with a more aggressive pressing approach), but in general, I think this is a fine strategy for an away side at Mercedes Benz Stadium. Below is a poorly drawn formations graphic showing expected lines of engagement for pressing. These will change as the game state changes, but I expect Columbus to press in that middle third more often to spring transition, while Atlanta hunts the ball no matter where it is (all the way to the Columbus back line). This isn’t to say that Columbus won’t press all the way back to the keeper when Atlanta are in a vulnerable moment (facing their own goal in defense etc).

Expect Columbus to invite Atlanta’s press and then try to bypass midfield in transition with one touch passing or balls over the top.


I haven’t watched much Crew lately which is why this post is mainly stats-type analysis. But I’ll trust Matt Doyle that the Crew have stabilized into a 4-2-3-1 with Kamara leading the line and Higuain, Meram and Santos forming the band of 3. Trapp and Abu in the middle with Afful/ Mensah/ Williams/ Raitala in a back 4.

While Martino has played with various formations in the runup to this game (4-4-2s against New England and Red Bulls, and 3-4-3 vs Toronto), I expect him to return to a traditional back 4 (with 2 CB’s marking kamara) and the deepest midfielder dropping back between the CBs while ATL have the ball. A 3 man back line isn’t optimal against a lone striker.

Creative Influence

You can probably guess who leads chance creation numbers as measured by expected goals + expected assists per 90. Kamara, Higuain, and Meram are contributing 0.66, 0.49, and 0.47 xG+xA per 90, respectively, with Kamara’s output primarily accounted for with an expected goal every 2 games, and Higuain’s and Meram’s outputs split more evenly between expected goals and expected assists. There’s no doubting that this is a dangerous front 3. And honestly, the answer to how to defend against these guys does not lie in the simple kind of analytics I’m capable of. But there are other things of course.

Interestingly, if we look at xBuildup (a metric published by ASA, helpful for assigning credit to players for their role in the buildup or creation of a chances that does not include the player taking the final shot or shot assist), an interesting name pops up: Mohammed Abu, registering 0.4 XG per 90 -> suggesting he has a hand in some form of the possession sequences leading up to (but not including shots or shot assists) about 0.4 expected goals created per game. Not bad since the Columbus are creating 1.4 xG per game on average. It would appear as though Tata Martino should be focusing some tactics to disrupt Abu in possession. This might mean placing an athletic/motor player centrall in the #10 spot to harrass and deny Abu time and the ball. Break the link most commonly chaining possessions into scoring chances and you will have accomplished something important.

Attacking and Defensive Trends

If we look at expected goals for and against trends for Atlanta home matches and Columbus away matches, it’s a little uncomfortable for my liking. Both teams hit an electric attacking run of form in September and have cooled off some, and both club’s defensive averages have inched up in October.

Crewe xGfa 3game


Atlanta’s latest 3 game home form on the attack side is 1.6 xG, which Columbus has matched away from home. And Atlanta’s home form on the defensive side is most recently a 3 game average of 1.3 xG conceded, with Columbus holding their opponents to 1.2 xG on the road. There are always #reasons. The Minnesota game is weighs heavy on the Atlanta averages given the red card to Reynish and the injuries to Almiron and Garza and callups of Martinez and Guzan. And also, as I’ve discussed previously on the blog, big chances that Atlanta creates on the break are often not captured well by the expected goals model. The overall defensive trend before these last couple of games was very, very solid for the Five Stripes.

Other Concerns

Kevin Minkus yesterday pointed out that Atlanta United are giving up high quality shots off of set pieces and Columbus may in fact create good shots off of set pieces, even if it has been relatively few to date:


This is scary. Lots to think about. I have this general fear of going down a goal early and then chasing the game against an awful game state (DCU type stuff), and so I’m hesitant to suggest really pushing numbers forward early to strangle the visitors — the thing is, this is exactly what the other part of my brain is screaming. Columbus will be travelling on short rest, with non soccer baggage lingering, and so it’s tempting to suggest a full on raiding party in the opening 10 minutes – kill them off early.

The thing is, the underlying numbers (to me at least) suggest a slowing of the high press at MBS. Maybe I’m not capturing what’s really going on, but I can think of reasons why the press works to less effect at MBS than BDS. And I also recognize that Atlanta have the home crowd advantage for this entire match, whether it be 90 minutes or 120 minute or all the way to PKs (shudders). I’d hate to spoil that by playing 75 minutes down a goal against a bunkering Crew who nicked a counter goal early. So I think my overall recommendation would be to exercise caution early on (I know you’re probably shaking your head), save some legs for what might be 120 minutes. The other recommendation is to task someone in the central attacking channel to press Mohammed Abu relentlessly, even at the expense of showing for the ball in transition. I’m not sure if this should be Almiron or Asad or even Gressel(!) who could be in for a starting role if Parkhurst isn’t ready (and Jeff slides back). And I hate to over think it, but something tells me we won’t succeed with Tito’s pace out wide in this one like we have in recent matches. We didn’t create much from wide in the first Columbus match (admittedly the field was narrower), and our goals came over the top in the second. I think I am calling for an inverted Tito on the left, a centrally located Asad, and Almiron inverted on the right. With players rotating to conserve energy and sanity as the central most player bothers Abu all night.

God speed. Hopefully, I get to do this again before next year.



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…

Economics of MLS Allocation Assets – Pt 2

In this one I summarize the last post’s conclusions (part 1), expand further from there, look at some data on TAM price inflation, and then draw what I believe to be a very important conclusion re: how best to use allocation money for clubs in an inflationary environment (TAM-related).

Quickly revisiting Pt 1 plus some knock-ons

In the last post I wandered through some scenarios in an attempt to understand the best and worst uses of the league’s complex fiat currencies: General Allocation Money (GAM) and Targeted Allocation Money (TAM).

I ultimately concluded that GAM and TAM are best used via the action that destroys them forever: the buying down of player salaries via centralized league funds and/or the buying down of a transfer fee for an imported player via centralized league funds. Essentially, every dollar of GAM or TAM in your possession is a way to increase your team’s competitive position relative to the rest of the league (by carrying a higher wage bill than is otherwise allowed under the league’s complex roster rules). So any transaction that sends GAM or TAM to another team within MLS rather than the aforementioned transactions which destroys/uses the GAM/TAM is a transaction that lowers your team’s potential wages relative to the rest of the league’s potential wages (all things equal). As an example, and as a first order, trading GAM/TAM assets to another MLS team in exchange for a player’s current contract with said team is at face value an inefficient way to optimize your team’s competitive position, in that you are increasing the other team’s total potential wages and decreasing your own team’s potential total wages. In the last article I posited that the only scenario in which a trade might make sense would be if the player’s current contract is “favorable” (e.g. player is good enough to make $250K/year, but is making $100K/year and has time remaining left on the contract). But ultimately, I concluded that because the market for MLS caliber players is much larger than just the sum of all current MLS players, it follows that the GAM/TAM that is sent in this scenario to acquire a favorable player contract from another MLS team could just as easy be used to “buy down” a portion of a “market value” contract for a player transferring in from overseas to where the net effect might be the same hit to the salary budget charge, with the added bonus of not increasing your opponents’ total potential wages relative to your own.

Some things I did not mention in the last article but that I think are worth mentioning:

  • The argument that the total pool of MLS caliber players is much larger than the current MLS player pool is dependent upon a team’s availability to information on players in this larger pool. Information on MLS players is naturally more available to a team than it is for foreign players in other leagues. As such, the total pool of MLS caliber players is only significantly larger to a team than the current MLS player pool if the team is willing to spend real money on scouting and analytics, things which close the information gap for MLS players vs import players. It follows that the decision point between trading GAM/TAM to another MLS team in exchange for a player you have easily available information on versus using GAM/TAM to sign a similar player from another league might come down to a tradeoff between 1) spending league money (no incremental cost to owner) accompanied by lowering your team’s wage bill relative to other teams to acquire a player and 2) spending real money (incremental cost to owner) on scouting and analytics so that the team can maintain a higher wage bill relative to other teams to acquire a player. Ultimately, this suggests club ambition and owner finances come into play as it relates to which strategy a club pursues.
  • Further, stocking one’s team with more international players than other teams have on their rosters comes at a nominal cost: a trade with another team to acquire an additional international slot (above the baseline 8). Historically these slots trade on the “open market” for somewhere in the range of $50K-$70K of allocation money but draft picks can also be used. So it should also follow that trading GAM/TAM assets to another team in exchange for additional international slots might be acceptable in that it frees a team up to not send even more GAM/TAM to other teams in exchange for players. But importantly, it might be more efficient to trade Super Draft picks instead, given the level of uncertainty involved in SuperDraft picks.
  • Additionally, MLS has some strange rules around player discovery which require a nominal amount of allocation money to exchange hands whenever a player is signed by one club but the player has been identified as a discovery player by another club. So allocation money has trade value in these situations.

Other Prickly elements of fiat currency (and thus GAM & TAM): Inflation

Because GAM and TAM are fiat currency, created out of thin air by the central MLS governing body (backed solely by the League itself for the ultimate use of increasing a team’s wage bill above preset limits), the fair market value of a dollar of TAM or GAM has the potential to act erratically, fluctuating based of the actions of the governing MLS body – principally its ability to increase or decrease the supply of TAM or GAM. This may or may not be manifesting itself at the present moment as we witnessed deal after deal at the close of the most recent MLS transfer window involve higher amounts of allocation money than we would’ve previously seen (had these amounts been as transparently reported by the league as they are today). The word on the street is that there is another round of TAM injection coming into the league, and perhaps in addition to this, an added optional TAM purchase options for clubs (spend incremental owner real dollars to acquire incremental TAM dollars used to increase team wage bill legally). And perhaps, what is only speculation by folks like me is confirmed behind closed doors by various MLS owners. If in fact, a new injection of TAM is on the horizon, and importantly, one that is larger than we’ve seen in the past, than we would expect to see some inflation in the going rate of player contracts or other MLS assets as priced in TAM.

Note: Sam Stejskal released this very good piece on TAM inflation as I was writing this piece. He tackles some really interesting wrinkles I did not pick up on, related to wages right around the max charge and inefficiencies in the market there.

Player contracts are messy and hard to value for many reasons, the least of which being we don’t have full access to the number of years left on any given deal. More significantly the fair wage valuation of a player is very subjective. But we do have some theoretically easy to value assets we can look at, to see if inflation is creeping up on allocation money.

Study: Inflation in the GAM/TAM exchange rate for International Slots / Spots

If we look at the market for International Spots, we can see an increasing trend within this season. It’s possible that this is demand-side inflation as teams MUST comply with the roster requirements as the transfer window begins to shut, but I don’t have a mental model to think through it… seems to me like unused IS spots should decline in value as the transfer window comes to an end, just as the teams who need IS spots start to really, really need them…in my mind there’s an equilibrium here, but I may not have it right. Anyhow, assuming that demand-side inflation is minimal, I thought we’d look at the available data of pure play International Spot deals to see if there’s some supply side inflation as the season has progressed. By my count there have been 15 trades involving international spots since the league started disclosing the general terms of trades between its members this year. From December 2016 until now only 7 of these have been straight swaps of international spots for allocation monies. Here they are:IntlSpotInflation

For deals done in the summer months I’ve multiplied the price of the GAM/TAM by two since the team acquiring the international spot is basically only acquiring half a season (or less) worth of it. What we find is that the price of international spots has risen as the season has kicked on. With smaller subleases going for full annual prices this summer, reflected above as increased prices in the chart. It’s a small sample size but I think it’s something. Notably, with the exception of one deal between Atlanta and NYC, these are all GAM deals, which tells us that the inflation is not due to the expiry of the assets themselves (TAM assets which have a shelf life would theoretically lose value as they approach their expiration dates (remember, they die after 4 full transfer windows and so one would expect unused TAM that’s about to expire to be given away freely at the close of a transfer window).

Again, it’s possible this is a natural demand-side phenomenon with teams *needing* to comply with the roster rules in a timely manner and the teams with unused spots sitting back and laughing at them…but again, unused Intl Slots are worth $0, so it’s difficult to prove.

What of it? The Perhaps Very Important Stuff

I suppose the next question though is, what if there’s some inflation in TAM or in GAM due to teams expecting a fresh injection of funds into the league in the coming years? Does it change the conclusions we’ve already reached regarding “good” and “bad” ways to use allocation moneys? What are the broad market impacts of said inflation?

I may have to get into this deeper next time, but I see the impact being completely different for the non-international player market compared to the international player market. There is a basically finite supply of MLS caliber non international players in MLS. Each year some of them retire, some come up through academies or through the SuperDraft — others drop to lower leagues. So my gut is that an increase in TAM injections would be highly inflationary as it relates to non-international player wages (and yes trade fees, if you want to call them that), when we talk about the final use of TAM – which is the paying down of wages and transfer fees to meet cap rules. For the international player market, I think it’s completely different. Remember, TAM & GAM aren’t ever traded outside the league – they don’t exist. They are traded within the league, or they are USED (dead). Will teams looking to buy foreign have more funds to play with (and still comply with roster rules)? Yes. But will this have a huge impact in the global market for footballers? I don’t really think so. The supply is vast. To my eye the implications of this disparity for front offices in MLS is massive. If the price in allocation moneys for a non-international player is inflating but the price in allocation moneys for paying down an international players wages is NOT, it seems obvious that there’s a market inefficiency here that can be translated into a big competitive advantage.

Columbus Crew Vacuuming Up Minnesota United’s Pennies

Let’s take one of these recent trades and use it as an example. The opening assumption here is subjective, which is that Minnesota has overpaid the Columbus Crew for Ethan Finley. Don’t get too hung up on whether you disagree with that. Let’s just follow the math. Minnesota got Finlay (on a salary of $290K a year – is he worth more than that?) in exchange for $425K of total allocation monies ($100K TAM in 2017, $250K TAM in 2018, $75K GAM in 2018) paid to Columbus. If this price reflects the inflation of non-international players denominated in TAM assets because of a looming $2M TAM injection in 2018 — and I believe it does), just think what Columbus can do with these fiat funds on the international market. Because while there’s a finite supply of mid 20s American wingers (and thus his price in TAM is inflated), for that money they can replace him with an international player on $100K more wages per year (if they get him on a free), or they can use allocation money to buy down a transfer fee for a player on similar wages. Put another way, they can sell their asset (Finlay’s player contract) in an inflated fiat currency (TAM) and purchase a better one with a stable global currency ($USD) and then use the TAM to pay down the player’s wages $ for $ (without the inflation). This seems like a bit of arbitrage to me, but please let me know if I’m missing something.

In short, in this new environment of domestic TAM inflation, not only does it continue to make sense for the most ambitiously competitive teams to spend real $ on scouting & analytics and in doing so, maximize their GAM/TAM via *using* it to pay down player salaries rather than trading GAM/TAM, but in addition, it also makes sense to SELL domestic at inflated TAM rates, to then turn around and BUY international and USE TAM to buy down the international players purchased at normal rates.

Bullet points for my working MLS front office manual for a highly ambitious club.

  • Spend GAM/TAM primarily to buy down player wages/foreign transfer fees below roster caps.
  • Do not trade GAM/TAM in exchange for MLS player contracts (lowers overall competitive ability due to relative wages)
  • To achieve the above two bullet points, real investment in scouting and analytics / recruitment departments is important to close the information gap for international player market compared to current MLS player market.
  • In inflationary TAM environment, selling non-internationals (fixed supply) for TAM makes sense to then buy internationals, using the TAM you received to buy down their wages/transfer fees below the caps. (sell high, buy low)
  • Acquiring future international slots now at nominal rates might make sense to achieve the above strategy of exploiting the two separate player markets. If you can trade draft picks to acquire these international spots, do that.



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).


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.


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.

June 17: Atlanta 3 – 1 Columbus

The first thing I noticed when the whistle blew at Bobby Dodd Stadium on Saturday was that Columbus did not press high against Atlanta’s centre backs when they had the ball. They were more restrained, generally blocked passing lanes into midfield and waited to engage the press until the ball crossed the halfway line. This shows up in Atlanta’s “tidiness” stats (also known as the CLB pressing stats).

ATL TidinessWhile you may remember 2 or 3 cringe-worthy passes from the back line, with Columbus hanging back a bit, most of these passes were intercepted in the attacking half with the Crew daring Parkhurst and Pirez to pass their way across the line of engagement, and so they don’t show up in the “own-half” stats. What you can see is Atlanta passing in their own half at a level of comfort rarely seen this season, occasionally turning the ball over  via unsuccessful touches and dispossessions but at a very low rate (every 12+ passes). Atlanta also had around 60% possession in the first half. So in summary, CLB sat back to some extent, happy for Atlanta to pass the ball around in their own half.

Columbus is a very technically  capable team and came into this match playing the highest percentage of short passes of any team in MLS (11%). In the first half against Atlanta they were slightly more direct (16% long) partly due to sitting back some, but were still caught out in their own half at a very high rate, and not coincidentally the same rate of disruption that Atlanta usually causes its opponents (a giveaway for every 4-5 own-half passes).CLB Tidiness This sort of disruption in Atlanta’s attacking half created the first goal with Asad tackling and assisting Villalba in one very nice move followed by a piggy-back ride to the corner flag. It was mirrored at the end of the game with Kratz and Martinez.

If you look back at the charts, you can also see a lot changed in the second half. Columbus came out ready to press Atlanta further forward, and Atlanta in turn played more directly, perhaps out of necessity, or perhaps tactically, as is suggested here. It’s difficult for me to be able to tell which side is driving this, and which side is reacting, but it’s definitely there. I should also point out that perhaps Columbus played more directly in the first half as a reaction to Atlanta’s pressing and not just purely as part of a game plan. One thing that is unmistakable is the difference in Kann’s passing from the first to second half. My guess is that this aspect of the shift in passing is purposeful.

Check out the defensive action charts below to see Atlanta pressing high in both halves and Columbus drawing the line of engagement at the center circle in the first, and venturing further forward slightly in the second. Also check out those left flanks under siege (more on this later).

Here’s a new chart. The entire season to date of own-half passes per giveaway for Atlanta (blue line) and Atlanta’s opponents (red line). Remember higher numbers are good as you’re passing the ball more times before giving it away in your own half:

PPG over time ATL

Atlanta presses persistently and with purpose (see how stable the red line is) as their opponents’ “tidiness” rarely if ever veers too far away from the average 4-5 passes per giveaway range. Atlanta’s tidiness on the other hand fluctuates more significantly from match to match. Since these statistics are time consuming for someone like me to capture, I mostly just have them for Atlanta matches, so I’m not sure if this sort of thing rings true for most teams (i.e. that a team’s tidiness is dictated by it’s opponent’s press and not the other way around), or if this is something that fits Atlanta uniquely. It’s interestingly nonetheless. This chart suggests a team can manage its total giveaways against Atlanta by refusing to pass in its own half (route one style) fairly easily, but it has less control over the rate at which it gives the ball away when passing in its own half. The calculus comes down to how well does your possession suppress the quantity of your opponent’s shots and does this compensate enough for the quality of chance you will ultimately give up on occasion, trying to pass through a press.

Chances and stuff

Take a click through the usual data bits from @11tegen11. I think the expected goals stuff is pretty fair this week with both teams creating huge chances in the first half, and each side converting one such chance. Kann was massive for Atlanta and kept the game winnable going into halftime as Columbus found a couple really pretty through balls in behind Atlanta’s back line that set up very good shooting opportunities. The second half was more a game of attacking moves that ended just short of shots being taken or shots being taken from outside the box (perhaps the ultimate example of this is Kratz splitting the centre backs to find Martinez running at the keeper — I couldn’t have been the only one thinking we were about to see another keeper rounded).

Here are the attacking “chances” broken down by half (chalkboards from MLSSoccer boxscores).

Interesting that the first half was basically both teams attacking their opponent’s left flank. I don’t have a lot more to say in terms of the chances. This game was interesting from a style of play and tactical perspective, and then for the pure brilliance that a fatigued Almiron showed on his quick strike counter goal. And then as a fan, I was amazed as always by Yamil Asad — his pressing, his movement into space off the ball, his chance creation, and his general effort level. He’s leading the league in assists (proper assists not hockey assists) with 8. DP level stuff. I’ll stop here with the objective-ish analysis because there are so many games coming up, and these posts aren’t exactly evergreen anyhow 🙂

Biased Reaction

Here’s a quick comment as a fan. This was a massive win for Atlanta. First and foremost, at the moment the team is competing with Columbus for a playoff spot. Any eastern conference home game is crucial, but against these guys it’s sweeter, and Columbus is a good team despite their recent run of form. It was clear they were technically proficient, and generally well balanced, significantly talented in Meram, Higuain, and Kamara and the tactics seemed fine. The Crew could’ve been up 2-0 or 3-1 at half, and if that’s the case, we generally know how those games go for Atlanta. So it’s certainly important to reflect on Atlanta’s good fortune — how what could’ve been a demoralizing home loss to cap a 3 game losing streak is instead a statement win against a “rival,”– but the great thing about soccer is as soon as you’re done reflecting on that, you get to think about the individual acts of brilliance from Kann, Almiron, Asad, and Larentowicz, oh and Josef Martinez, and no one can take those 3 points away. This tension between underlying performance and results, which is rare in most sports, can be brutal at times and sublime at others.


And here are the current PACE tables heading into Wednesday night. The first a measure of each team’s performance against the win at home, draw away rule. The second, a measure of each team’s performance against the average MLS team’s home and away splits multiplied times each team’s composition of home and away matches played to date. They both suggest the same thing, that Atlanta is squarely in playoff contention, not chasing like the 7th place that the official table will lie to you about.


Also, you guys should really listen to the Beta Band more. Smh.