Matty and Drew cover CCL, the current state of MLS, give a preview of the Red Bulls' playoff chances, and choose the RBNY designated player with whom they would most like to engage in holy matrimony. [audio http://americansocceranalysis.files.wordpress.com/2013/09/episode-xxii.mp3]
This was suppose to be a quick 15-to-20-minute podcast that turned into an almost 52-minute single segment ramble about all things US in the past week. It was just Drew and I, covering just about everything conceivable over the course of the loss to Costa Rica on the road to the win in Columbus against Mexico. No spoilers; just have a listen. [audio http://americansocceranalysis.files.wordpress.com/2013/09/asa-episode-xxi.mp3]
*Editors note:
Matthias to Drew by text after CR's second goal: [Howard didn't look ready for that one. I think he could have done more.]
Matthias to Drew by text after CR's third goal: [The defender definitely got beat, but the Costa Rican player didn't even get to the ball until it was 23 yards out. That's Howard's ball.
Drew on Podcast: "...and Matthias was texting me...Matthias was like 'what's he doing in there? These goals are all his fault.' "
In a private interview with the Matthias, the editor was assured that Matthias never thought the goals were 100% Howard's fault, as Matthias---a student of probability---rarely believes anything is 100%.
Oh, and Drew is a poophead.
**Editors note part 2:
Matthias edited is the editor of the site, just in case you didn't realize that.
A few short months ago, we recorded a podcast in which we discussed the teams likely to make the playoffs in the Western Conference. At the time, we did not think Colorado would get in, but now---after a surprising win in Los Angeles---the Rapids find themselves very much in the thick of the playoff race. As of May 31st, Colorado had earned 19 points from 13 games and sat in 5th place out west. Additionally, the Rapids' 1.03 attempts ratio was 6th in the conference, while our shot locations data suggested an expected goal differential essentially tied for 4th. Perhaps we shouldn't have discarded them so quickly.
Now with more information, we've seen how shot ratios help to predict the future as well as anything in soccer. The predictions aren't awesome, but better than if we were to use goal differential or standings. Colorado has found itself still in playoff contention, and I think it is worth revisiting the playoff chances for the Western Conference's mile-high team.
Now, 28 weeks into the season, Colorado has improved its shots ratios and expected goal differential to second in the conference, just behind the Galaxy on both accounts. But while Colorado could very well be one of the top teams in the West, its remaining schedule is pretty brutal. Of its last six matches, five of them come against Dallas, Portland, San Jose and Vancouver (twice). Those are the four teams fighting along with the Rapids for the final two playoff spots. The other game on their schedule just so happens to be Seattle, the current favorite to win the Supporters' Shield. There is not a single cupcake on the schedule, and losses will be far more costly than if they were against Eastern Conference foes.
While the best predictions using shots data still leaves much to be desired, that data would in fact pick Colorado as the second best team in the West. However, playing a tough schedule against opponents shooting for the same playoff spot, there is so much weight on just a few games. I'd pick Colorado to be one of those top five in the tables at the end, but it's not a gimme pick.
Let's say, ooooh, 55%.
I asked the question on Twitter, "how many teams have been better than Chicago since the arrival of Mike Magee?" Let's take a look at the results of games played since the acquisition of Magee on May 24th.
I think we knew that the Fire have been good since the arrival of Magee, but just how good is pretty surprising. Adding to the surprise are both the Whitecaps and Revolution with 1.6 points per game. Looking to the bottom of the table we see how far FC Dallas has dropped since their hot start to the season.
I know that we all like to think that the results in March and April are vital, and to a degree they are---there is no way that FC Dallas is even considering a run at the playoffs if it wasn't for how they performed in Mar/Apr---however, the season is long; there are nearly 8 months and 34 games.
I've long been of the belief that one player in soccer doesn't make that big of a difference on an entire season and it's table location. Sure, maybe Clint Dempsey takes Seattle from being an injury prone playoff-ish team to a contender for the Supporters Shield. But Chicago was, and is now, much better. Along with Chicago, New England's performance needs mention too.
Currently, the minute men have 17 points through 8 matches with Juan Agudelo in the line-up. Something pointed out to me by the folks over at Deep in the Fort. It's also a conclusion that makes me question how much that's true and how much a really good player can impact a season for a club.
Obviously it needs a much closer observance than a single table of points over a time period. There are other factors to consider with both clubs. Regression, sample size, ect. But there is enough there to at least consider further research into the thought that some players can mean big things for the right club.
We moved days! We'll be getting the podcast to you Thursday night/Friday morning from here on out. You know, rather than getting it to you on Sunday after all the weekends games have been played. If nothing else, it should give you something great* to hear on your way to the match. This episode, we devote our second segment to talking about the MLS Front offices and geeks vs. nerds, and then we also touch on women in the front office as well as in the coaches' boxes. Among other things we play a couple of silly games and then, of course, talk random news and notes for the past week. Hope you enjoy!
[audio http://americansocceranalysis.files.wordpress.com/2013/09/asa-episode-xx.mp3]
Editor's note: Great?
During tonight's podcast we will be talking a bit about the constructs of MLS offices. It's easy to question the thinking behind transactions and player dealings. Each person has a specific idea behind the move and their own end game and plan that they wish to execute. Personnel decision making is an important skill. We can find out more about some of the these skills if we actually know the individuals behind the desk of their respective clubs. This list is far from exhaustive. The effort is to give a single point of reference for front office types in each MLS club. The problem behind this little pilot study is that not all them are singularly responsible for the decision making as there are others: CEOs, CFOs, Presidents and a myriad of others that help influence these decisions.
That said this is a good start to getting an idea as to who is pulling some of the strings when it comes to putting together the 30-man roster and dealing with the salary cap. The list is sorted according to the current (9/4) Supporter Shield standings.
This sparked my curiosity the other day. Joe Posnanski, who is an amazing baseball writer, wrote about the current MVP race as the MLB season dwindles down. One of his large points is, of course, offensive production and how you properly place that into context. He mentions something about park factors between the two hitters in the race, young stud Mike Trout and hall-of-fame surefire Miguel Cabrera. As usual, this discussion of value in baseball spawned chaos in the comments section and lead to a follow-up article. JoePo breaks down park factors crudely but effectively in stating the following:
But the BASICS of Park Factors are the easiest thing imaginable.
All you do is this:
Step one: You take the average runs scored in a ballpark (both teams).
Step two: You take the average runs scored in that team’s road games (both teams).
Step three: You divide the first total by the second.
And that’s all. Park Factors. There is so much contentiousness about Comerica Park but it’s all simple math. This year, the Tigers have scored 355 runs at Comerica and allowed 275 runs. That’s a total of 630 runs in 67 games -- 9.4 runs per game.
Now, this was brought to my attention by Tom Tango and his mention on his blog. Tango also gives some brief qualifiers that are specific to baseball, as well as mentioning the uncertainty of the exact degree that it affects the race. It's some great stuff for baseball.
It made me start wondering about park conditions in MLS. It's obvious that pitches play differently and that they come in different shapes and sizes. This can be done a multitude of ways as mention by Poz and described by Basellball-Reference. It's already been covered one way by Alex Olshansky of Tempo-Free Soccer in an article for StatsBomb a month ago.
However, Alex used Goal differential. Which is fine, if we're strictly speaking about an individual park leading to more goals, not necessarily home field advantage. I wrote an article just a month ago about home field advantage working off percentage of points won at home versus total points.
Regardless, you can see most teams seem have an advantage playing at home. But I'm interested in how many of these home locations either increase limit or increase shots/goal opportunities. Is there a place in MLS that, due to the dimensions or the crowd or some other outside reason, it is better to be a striker versus a defender? That it limits or maybe creates more goal scoring opportunities?
It's an interesting question for certain and maybe not even one to limit to goals. Maybe we could open it up to turnovers, as that might give us some indication of the quality of the pitch. These are just some thoughts on a Friday afternoon.
Today, I was asked simply, which team has the best pairing in MLS? It's a good question, and oddly one that I've been asked a lot and. Despite the frequency of requests, it's something that I have trouble answering. There are a lot of ways to measure performance for attacking personnel, but due to my time restraints I found the easiest way to do this was to go to Squawka and use their attack score. Below is a listing of teams and their two highest* attacking score combos. Since it's a purely cumulative stat I pro-rated it to 90 minutes. As you probably wouldn't be shocked to find out. Mike Magee, Landon Donovan and Federico Hinguian round out the top-3.
| Player | Team | Minutes | Attack Score | AS per 90 |
| Mike Magee | Chicago | 1051 | 582 | 50 |
| Patrick Nyarko | Chicago | 1554 | 527 | 31 |
| Carlos Alvarez | Chivas USA | 1653 | 360 | 20 |
| Eric Avila | Chivas USA | 1634 | 260 | 14 |
| Dillion Powers | Colorado | 2035 | 576 | 25 |
| Deshorn Brown | Colorado | 1800 | 448 | 22 |
| Federico Hinguian | Columbus | 2142 | 1162 | 49 |
| Dominic Oduro | Columbus | 1987 | 610 | 28 |
| Dwayne De Rosario | DC United | 1208 | 343 | 26 |
| Kyle Porter | DC United | 1403 | 244 | 16 |
| Blas Perez | FC Dallas | 1569 | 584 | 33 |
| Michel | FC Dallas | 2004 | 538 | 24 |
| Brad Davis | Houston | 1408 | 540 | 35 |
| Will Bruin | Houston | 1721 | 472 | 25 |
| Landon Donovan | LA Galaxy | 1380 | 753 | 49 |
| Robbie Keane | LA Galaxy | 1320 | 698 | 48 |
| Marco Di Vaio | Montreal | 1868 | 897 | 43 |
| Felipe Martins | Montreal | 1768 | 535 | 27 |
| Diego Fagundez | New England | 1621 | 613 | 34 |
| Lee Nguyen | New England | 2137 | 527 | 22 |
| Thierry Henry | New York | 1952 | 854 | 39 |
| Tim Cahill | New York | 1761 | 441 | 23 |
| Sabastian Le Toux | Philadelphia | 1864 | 729 | 35 |
| Conor Casey | Philadelphia | 1528 | 667 | 39 |
| Darlington Nagbe | Portland | 1895 | 761 | 36 |
| Diego Valeri | Portland | 2072 | 725 | 31 |
| Javier Morales | RSL | 1796 | 838 | 42 |
| Ned Grabavoy | RSL | 2043 | 467 | 21 |
| Chris Wondolowski | San Jose | 1890 | 530 | 25 |
| Shea Salinas | San Jose | 1400 | 434 | 28 |
| Eddie Johnson | Seattle | 1300 | 461 | 32 |
| Obafemi Martins | Seattle | 1024 | 448 | 39 |
| Graham Zusi | Sporting KC | 1860 | 680 | 33 |
| Claudio Bieler | Sporting KC | 1986 | 620 | 28 |
| Jonathan Osorio | Toronto FC | 1164 | 397 | 31 |
| Robert Earnshaw | Toronto FC | 1495 | 333 | 20 |
| Camilo Sanvezzo | Vancouver | 1674 | 876 | 47 |
| Kenny Miller | Vancouver | 1305 | 506 | 35 |
There are a couple of key individuals missing from this list that may or may not "pop out" at you. The first is Philadelphia's top goal scorer Jack McInereny. Part of this is due to his missing time with the Mens National Team during the early rounds of the Gold Cup tournament. The other part is that outside of his bunches of goals scored early in the season he hasn't done much else with his time.
The other name, though less likely to be spotted, is Luis Silva. Since arriving at DC United, he's posted the top overall score determined by Squawka, as well as the highest rating on Whoscored, with his new club. However, he's only played 5 games and a total of 420 minutes for DCU, so it's a small sample and I decided to drop him from the listing. This lowered DC United's end score rather dramatically and yet corresponds quite well with whatever combination player they might be able to muster.
Now, taking all those dynamic duos and adding them together gave us a combined score of the two best attacking players on each team. Here are those in order.
| AS per 90 | |
| LA Galaxy | 97 |
| Vancouver | 82 |
| Chicago | 80 |
| Crew | 76 |
| Philadelphia | 74 |
| Seattle | 71 |
| Montreal | 70 |
| Portland | 68 |
| RSL | 63 |
| New York | 62 |
| Sporting KC | 61 |
| Houston | 59 |
| FC Dallas | 58 |
| New England | 56 |
| San Jose | 53 |
| Toronto FC | 51 |
| Rapids | 48 |
| DC United | 41 |
| Chivas | 34 |
It's not a surprise to see LA at the top of any such list. Robbie Keane and Donovan have long be herald as the best dynamic attacking duo of the league. But if you are looking beyond those two the teams are rather surprising. Vancouver, Chicago, Columbus and Philly all make up the top-5 with the often scrutinized Obafemi Martins and Eddie Johnson contributions falling just outside the grouping.
Another interesting note, taking us further towards the discussion of single best player. While individual performances matter, it's about team accomplishment rather than singular performances over the stretch of the season. It's obvious that while Chicago and Columbus both have had outstanding performances from their key men up top, they are lacking something on a team level such that these individual metrics don't correspond entirely to the tables at the end of the day.
This is merely a trial run. I say that because in the last two days I've limited the collection of data and then expanded it. It comes down to how it tickles my fancy. The data I have collected is limited for the time being to the Chicago Fire as just a means of comparing a club and its data to the league and trying to make sense of it. This hopefully will develop into the means of how I can some how attribute value to clubs and their keepers in the future.
Below is a picture of the goal mouth, and the data has been collected from the website Sqwuaka.com. Coupled with a previously built image, you can see how Chicago compares to the rest of the league and how a majority of their goals have been scored this season. While numbers are always an important thing, remember that it's more about ratios and the average occurrence than pure accumulation at this juncture. Not all teams have played the same amount of games and they haven't had the same opportunities. 
In addition to the Goal Mouth visual, here is a field map diagram as it applies to the dimension of the field. This has already been provided in raw form in the data that Matty has collected and posted in the raw shot data tab, but I wanted to have another visual to compare the above data.
The problem between the two is that there is no correlation between the fact that Chicago has allowed 4 goals in section 5 to the fact that they've also allowed 5 goals in SoT1 (for ease of the tally, I gave a numerical designation to each location on the goal mouth; starting at the top and working left to right). This is the next collaborative effort that I'm working on, gathering both the shot location of origin and placement on the goal, and from what specific individual at what time.
This is a very time-intensive task and it'll probably take me the rest of the week to complete it just for Chicago. However, I'm taking suggestions on how I could compile this data without hand jamming it into a flat file. An SQL dump of the current Opta database for the season would go a long ways to helping compile this data and would be nice. But I'm never above a bit of hard work.
Thoughts?
This is part of my efforts to try to come up with a zone rating of sorts for goal keepers. The problem I'm running into at the moment is trying to find visual information for shots against. If I want to know how good Dan Kennedy was preventing goals against Columbus in week 1, I have to go to Columbus' page on Squawka and narrow the shot data to that specific game. Basically, It just boils down to more time digging than I initially planned to devote.
Quickly, here is a visual graphic that I made with the help of Excel. I know it's not really pretty, but it delivers the data in the manner in which I needed it without getting caught up on eccentric details, details with which I often spend too much time meddling.
There isn't a lot that this immediately tells you, of course. It's more of a jumping off point to start comparing data once it is collected. That's where the next effort is going to be headed. Who are the teams that are above league average and below league average? Are they bleeding low percentage goals, or are they being beat in an unusual zone? This information, while still miles from being complete, moves us in the right direction of knowing more about shots and goals than what we did previously.
You'll notice that I also included shots that are wide but still close to the post. I'm curious as to whether these shots numbers become inflated when playing teams with "better keepers". Unfortunately we need to define what better is. Better than what, exactly? I'm not sure. Again, parameters haven't been set, and data sets are still being gathered.
This is a fun exercise and one that should, if nothing else, provide us with some excellent insight to teams and their seasons at this point.
