# In Defense of the San Jose Earthquakes and American Soccer

Note: This is part II of the post using a finishing rate model and the binomial distribution to analyze game outcomes. Here is part I.

As if American soccer fans weren’t beaten down enough with the removal of 3 MLS clubs from the CONCACAF Champions League, Toluca coach Jose Cardozo questioned the growth of American soccer and criticized the strategy the San Jose Earthquake employed during Toluca’s penalty-kick win last Wednesday. Mark Watson’s team clearly packed it in defensively and looked to play “1,000 long balls” on the counterattack. It certainly doesn’t make for beautiful fluid soccer but was it a smart strategy? Are the Earthquakes really worthy of the criticism?

Perhaps it’s fitting that Toluca is almost 10,000 feet above sea level because at that level the strategy did look like a disaster. Toluca controlled the ball for 71.8% of the match and ripped off 36 shots to the Earthquakes’ 10. It does appear that San Jose was indeed lucky to be sitting 1-1 at the end of match. The fact that Toluca only scored one lone goal in those 36 shots must have been either unlucky or great defense, right? Or could it possibly have been expected?

The prior post examined using the binomial distribution to predict goals scored, and again one of the takeaways was that the finishing rates and expected goals scored in a match decline as shots increase, as seen below. This is a function of “defensive density,” I’ll call it, or basically how many players a team is committing to defense. When more players are committed to defending, the offense has the ball more and ultimately takes more shots. But due to the defensive intensity, the offense is less likely to score on each shot.

Data source: American Soccer Analysis

Mapping that curve to an expected goals chart you can see that the Earthquakes expected goals are not that different from Toluca’s despite the extreme shot differential.

Data sources: American Soccer Analysis, Golazo

Given this shot distribution, let’s apply the binomial distribution model to determine what the probability was of San Jose advancing to the semifinals of the Champions League. I’m going to use the actual shots and the expected finishing rate to model the outcomes. The actual shots taken can be controlled through Mark Watson’s strategy, but it’s best to use expected finishing rates to simulate what outcomes the Earthquakes were striving for. Going into the match the Earthquake needed a 1-1 draw to force a shootout. Any better result would have seen them advancing and anything worse would have seen them eliminated.

Inputs:

Toluca Shots: 36

Toluca Expected Finishing Rate: 3.6%

San Jose Shots: 10

San Jose Expected Finishing Rate: 11.2%

Outcomes:

Toluca Win: 39.6%

Toluca 0-0 Draw: 8.3%

Toluca 1-1 Draw: 13.9% x 50% PK Toluca = 6.9%

San Jose Win: 32.3%

2-2 or higher Draw = 5.8%

San Jose 1-1 Draw: 13.9% x 50% PK San Jose = 6.9%

Total Probability San Jose Advances = 45.1%

The odds of San Jose advancing with that strategy are clearly not as bad as the 10,000-foot level might indicate. Counterattacking soccer certainly isn’t pretty, but it wouldn’t still exist if it weren’t considered a solid strategy.

It’s difficult, but we can also try to simulate what a “normal” possession-based strategy might have looked like in Toluca. In MLS the average possession for the home team this year is 52.5% netting 15.1 shots per game. In Liga MX play, Toluca is only averaging about 11.4 shots per game so they are not a prolific shooting team. They are finishing at an excellent 15.2%, which could be the reason San Jose attempted to pack it in defensively. The away team in MLS is averaging 10.4 shots per game. If we assume that a more possession oriented strategy would have resulted in a typical MLS game then we have the following expected goals outcomes.

Data sources: American Soccer Analysis, Golazo

Notice the expected goal differential is actually worse for San Jose by .05 goals. Though it may not be statistically significant, at the very least we can say that San Jose’s strategy was not ridiculous.

Re-running the expected outcomes with the above scenario reveals that San Jose advances 43.3% of the time. A 1.8% increase in the probability of advancing did not deserve any criticism, and definitely not such harsh criticism. It shows that the Earthquakes probably weren’t wrong in their approach to the match. And if we had factored in a higher finishing rate for Toluca, the probabilities would favor the counterattack strategy even more.

Even though the US struck out again in the CONCACAF Champions League, American’s don’t need to take abuse for their style of play. After all, soccer is about winning, and in the case of a tie, advancing. We shouldn’t be ashamed or be criticized when we do whatever it takes to move on.

# xGD in CONCACAF Champions League

Understanding that not everything has to mean something, we still try to provide meaning to things. Deriving meaning becomes infinitely harder when sample sizes are small: what size sample is important when considering a specific set of data? We don’t always know, but I present you the CONCACAF Champions League data anyway. Below is the Expected Goals 1.0 data from the group stage of the CCL that I’ve compiled in the last couple of days.

 Team xGF xGA xGD Cruz Azul 8.578 4.112 4.466 Toulca 7.528 3.488 4.04 Tijuana 6.617 3.018 3.599 America 6.975 4.017 2.958 Dynamo 5.683 3.417 2.266 LA Galaxy 7.052 4.95 2.102 Sporting KC 4.785 2.699 2.086 SJ Earthquakes 4.768 2.962 1.806 Montreal I. 3.816 8.796 -4.98

To be honest, this is my inventive way to present this information to you. I wanted to do an article about various things concerning CCL, but the problem always kind of leads back to sample size. Four games just isn’t that much. The thing is, while you may not be able to draw any solid conclusions from this, it does give us a rough assessment for how Liga MX compares to MLS at this juncture, and it tells us that for the most part, MLS and Liga MX teams are better than the competition.

Mind you, teams have changed between when they qualified for CCL 2013-14 and now. This San Jose Earthquakes squad, for example, has quite a few new faces. Houston also has added a couple of pieces and underwent a some changes in the defensive rotation scheme.

xGD wasn’t going to tell us too much about the semi-final matches that were played the last two nights. We knew that it was improbable that even two clubs were going to move forward. Furthermore it seems awkward to even consider that San Jose was the closest to advancing–and had it not been for a bad call, it probably would have.

What xGD did tell us is that all four Mexican clubs performed better in that short period than any of the MLS sides. Sure, a “duh” statement is in order, but this clarifies that point further than a cute 1990’s radio morning drive show with catchy sound effects could. Cruz Azul seemed a superior team, for example, as they were nearly two expected goals better than any MLS side. In a short tournament that says something stronger than their actual goal tallies.

Yes, I realize the whole sample size thing, and really it’s funny submitting qualifying statements, but it’s even more silly to consider that we qualify them despite the fact that we don’t actually know if we need to. For all we know xGD stabilizes as a metric at six games or maybe even four. We’ll get Matty on that…

Mexico’s teams were better, and judging from everything going down on  Twitter and how the fragile psyche of the average US Soccer fan seems almost devastated by this fact, the reality is that MLS is better than it has been. The league has grown so much, and considering the issues that still limit organizations from competing against Mexico, it’s surprising how well we really do in this competition.

Now American teams aren’t yet on the “elite” level yet. But they are still very good and are nearing the imaginary line of being able to compete on a greater level with Mexico. As the budgets of MLS increase, and the depth charts along with the academies grow deeper, you’re only going to see MLS teams get better. Stating that an MLS team will never win the CCL is one of those hyperbole statements that is just crazy to me. I think it’s an eventuality at this point that some club somewhere will knock Mexico off it’s perch…sooner rather than later.