Stats: Offensive Pass Percentage in MLS
When the league announced before the season that Opta was being contracted to gather in-depth stats in league play, stat nerds like myself went giddy at the opportunity for more in-depth analysis of the events that make up a soccer match. But for the first half of the season, the only output we could see was the occasional tweet from Opta which amounted more to trivia than to statistics. But thankfully last month the league got around to releasing a chalkboard product on their site that reveals much more detail and will help us begin to get that in-depth analysis we'd been hoping for.
Today I want to start with passing percentage in the offensive third. Passing percentage and time of possession are the two 'advanced' stats that are most often tracked for soccer matches and most likely to pop up during a broadcast. But both leave something to be desired when it comes to actually evaluating the teams on the field, because both are sensitive to playing style and the scoreline. A team that's inclined to play possession football is going to get a lot more time of possession, whether they're having a good game or a bad game. A bunker-and-counter team is going to have less possession, regardless of the quality of the game. And the same is true of passing percentage, where a team that wants to pass uncontested balls around in their own half to setup attacks (like Barcelona) will have tremendous passing percentage versus a route 1 team that's sending lots of balls deep down the field to be contested by defenders, even though either strategy can lead to goals if played well.
One way to transition passing percentage into a stat that's more associated with quality is to look at passing percentage in the offensive third. These are passes that are almost always contested by defenders (assuming there's a defender in the area), they're a higher degree of difficulty, and they're more likely to produce an offensive opportunity. By ignoring the easy passes in the back and moderate passes in the central midfield and focus only on the hard passes in the offensive zone we can isolate out those passing players and teams that are doing the hard work towards creating scoring chances.
Thanks to the Opta-gathered positional data we can now isolate those passes. For purposes of this analysis I defined the offensive third as literally the third of the field nearest the opposing goal. You could reasonably argue that the last 40% or 20% of the field might be a better cutoff, but a third is a fine cutoff for a first look.
First I want to confirm that Offensive Passing Percentage (which is what I'll call it for now) does correlate with offensive performance. So I rounded single-game passing percentages into the nearest 5% and clustered all performances with the same rounded percentage and then checked to see the average goals per game and shots per game generated by that team in those games. Here are those results (and I apologize for the lack of axis labeling. Excel was winding me up.)
There looks to be a clear association between a higher offensive pass percentage and the number of shots generated by a team per game. Teams with some of the highest percentages generated nearly twice as many shots as teams with the worst performances. The correlation with goals is less linear, though generally positive. The noise here is no doubt a result of the erratic ability to turn shots into goals, but based on our earlier research on shot data, I'm comfortable looking at the shot correlation and inferring a positive relationship between offensive passing percentage and offensive chances.
Here are the team-level results for the Seattle Sounders thus far in league play this season:
| Date | Opp | Result | Off Pass % |
|---|---|---|---|
| Mar 15 | LAG | Loss | 49.8% |
| Mar 19 | @NYRB | Loss | 53.4% |
| Mar 25 | Hou | Draw | 50.9% |
| Apr 2 | @SJ | Draw | 51.6% |
| Apr 9 | Chi | Win | 58.3% |
| Apr 16 | @Phi | Draw | 48.4% |
| Apr 22 | @Col | Win | 52.7% |
| Apr 30 | Tor | Win | 54.5% |
| May 4 | @DCU | Loss | 48.6% |
| May 7 | @Col | Draw | 50.3% |
| May 14 | Por | Draw | 54.4% |
| May 21 | SKC | Win | 48.5% |
| May 25 | FCD | Loss | 51.6% |
| May 28 | @RSL | Win | 60.1% |
| Jun 4 | @Chi | Draw | 50.3% |
| Jun 11 | Van | Draw | 52.3% |
| Jun 18 | @Tor | Win | 59.2% |
| Jun 23 | NYRB | Win | 49.2% |
| Jun 26 | NER | Win | 61.0% |
| Jul 4 | @LAG | Draw | 56.4% |
| Jul 10 | @Por | Win | 55.4% |
| Jul 16 | Col | Win | 63.6% |
Overall the Sounders averaged 56.3% in their wins, 51.9% in their draws, and 50.9% in their losses. Their best game of the season by Offensive Pass % was the last game against Colorado, which I think could fairly be called their best offensive game of the season. They scored 4 goals, largely thanks to a Colorado defensive line that insisted on playing up high and letting the Sounders pass and run rampant in the backfield. Their worst performance of the season was the draw in Philadelphia, which shouldn't come as a surprise if you remember the torrential conditions the game was played in.
We can also measure the stat at the individual level. I calculated the stat for every player that has attempted at least 120 passes into the offensive third this season — a pool of 200 players. Here are the top 10 players in MLS by Offensive Pass %:
| Rank | Player | Team | OffPass% |
|---|---|---|---|
| 1 | Simon Dawkins | SJE | 81.6% |
| 2 | Logan Pause | Chi | 76.3% |
| 3 | Ned Grabavoy | RSL | 75.6% |
| 4 | Juan Agudelo | NYRB | 72.9% |
| 5 | Fred | Phi | 72.7% |
| 6 | Ante Jazic | CHV | 69.6% |
| 7 | Rich Balchan | CLB | 69.3% |
| 8 | Darlington Nagbe | Por | 69.0% |
| 9 | Jorge Perlaza | Por | 68.5% |
| 10 | Mikael Yourassowsky | Tor | 68.3% |
That's an interesting mix of forwards and attacking midfielders. Dawkins is the far and away leader, which may not be a surprise given his Premier League pedigree. The Portland Timbers are the only team with 2 players in the top 10 and both Nagbe and Perlaza have been integral to their offense (Kenny Cooper is ranked 109th at 56.3%, incidentally).
Here are the Sounders player who made the minimum passes cutoff:
| Rank | Player | Off Pass % |
|---|---|---|
| 36 | Osvaldo Alonso | 63.5% |
| 39 | James Riley | 62.9% |
| 69 | Fredy Montero | 59.8% |
| 103 | Brad Evans | 56.9% |
| 127 | Mauro Rosales | 54.6% |
| 130 | Alvaro Fernandez | 54.2% |
| 144 | Nate Jaqua | 52.6% |
| 152 | Erik Friberg | 50.9% |
| 159 | Roger Levesque | 50.3% |
| 174 | Tyson Wahl | 46.6% |
| 185 | Jeff Parke | 37.9% |
| 200 | Kasey Keller | 26.6% |
I'm not sure this would differ from anyone's expectations significantly. Alonso's passing game seems to have taken a big leap forward this year as he's started to spray shockingly accurate balls out to the wings. Riley's always been a pretty good distributor from the right back position. Rosales might seem a little low but note that players who frequently attempt more difficult passes (like crosses into the box) will get a lower percentage, though their successes are likely to be more dangerous. Keller rounds out the bottom of the list and in fact the bottom 14 players are all goalkeepers, as their passes into the 'offensive third' are almost exclusively long goal kicks that are unlikely to cleanly find an attacker.
Also, apropos of nothing, an odd result:
| Rank | Player | Off Pass % |
|---|---|---|
| 176 | Sainey Nyassi | 45.2% |
| 177 | Sanna Nyassi | 45.0% |
Twins indeed
31 comments
|
4 recs |
Do you like this story?
Comments
Balchan so high surprises me
as defensive midfield rookie, who also plays as a defender. Sounds like the Crew have quietly built a great defense, with the ability to break out if they can find some consistent threats on offense.
A lot people thought Balchan was the steal of the draft
And his passing ability was the reason. Looks like they were right to a certain extent.
I'd love to see if Simon Dawkins is still that separated by the end of the season
once we start getting a few years of Opta data I imagine teasing out the noise in stats will become much easier.
He's missed a lot of time due to injuries
So, the sample size is probably smaller. Still, you can see the quality when he’s on the pitch so it’s not totally noise, IMHO.
I'm sure he'll regress some
81.6 would be an absurd completion percentage even in the midfield. But he’s obviously a really composed passer. That assist to Wondolowski last night was magical.
Also, the Nyassi thing was kind of funny, but that stat and his ridiculous hat trick (and he should have gotten the assist for the 4th for sending it off the post) he got against New York as a striker show that he probably should never have been a crossing winger. He just doesn’t have the touch to effectively pass it in from the wing. He should probably be typecast as a burning forward like Cummings (though Omar’s a decent passer).
Nos Audietis
with USL side - just a handful of games
he played more a withdrawn forwardish role. Kind of a mini-Estrada
I am not a Supporter | I am not a Fan | I am a Sounder
Sounder At Heart
Nyassi also had an issue with being a bit selfish with the ball at times
Suits him better to play up top in light of that. If anyone is going to be selfish, it’s going to be the striker… Impressed with his shooting as well. He’s clearly been working on that. Good for him, seriously.
by ABTsportsline on Jul 21, 2011 7:46 PM PDT up reply actions
Interesting stuff.
Seems fairly plausible to say that a passing rate in the final third of 55% or better is the target mark for success.
Does that flip the opposite way for defending stats? Say, keeping an opponents passing success in the final third below 50% leads to a probable clean sheet?
by DaveValleDrinkNight on Jul 21, 2011 3:36 PM PDT reply actions
Good question
I’ll probably get around to the defensive version for teams. Can’t really do individual defensive versions since it isn’t always clear which defender ‘allowed’ a pass.
Nos Audietis
Makes sense.
Certainly looking forward to that. I loves me some comparable data.
by DaveValleDrinkNight on Jul 21, 2011 3:47 PM PDT up reply actions
And comparing with goals (or shots)
Seems like goals scored (or maybe shots taken) would be an even better correlation to make for the whole team by-game breakdown, since you could have an excellent offensive game but still lose 4-3. I suspect it’ll look similar to your first graph.
Does this mean that Keller actually has the least-accurate long-ball of all MLS keepers?
Or does this instead mean that we don’t have forwards who can win them?
I'm not sure the GK results actually mean anything
I don’t think accuracy matters at that range. The ball’s in the air long enough that it’s up to the players downfield to sort it out.
Nos Audietis
Might also lead to conclusions about style of play.
That number might tell you that the team is built for build up play and not racing down the field. If he’s not sending as many long balls down field because were more successfull being methodical a small sample size could make it seem that he’s worse than he really is.
by DaveValleDrinkNight on Jul 21, 2011 3:43 PM PDT up reply actions
There was the 120 pass cutoff, so maybe not SSS issue?
But then I don’t have the slightest idea at what level offensive third passing % becomes predictive of actual ability. For all I know 120 is a SSS.
Assuming teams were having the same number of goal kicks.
I’d be curious to see number of goal kicks along with those averages. It would also put perspective on the data.
by ABTsportsline on Jul 21, 2011 7:48 PM PDT up reply actions
Today, I learned there's a player named "Fred"
Helbert Frederico Carreiro da Silva apparently played for Philadelphia in 2010 and DCU this half of the year.
although this is probably what it's like for Brazilians all the time
Jim passes the ball to Steve!
by Will Kier on Jul 21, 2011 3:44 PM PDT up reply actions 1 recs
That's actually quasi-irritating
Curious to see what the next Brasilian footballer named ‘Ronaldo’ will go by.
Ronaldo-inho?
by ABTsportsline on Jul 21, 2011 7:51 PM PDT up reply actions
Ronaldissimo
I am not a Supporter | I am not a Fan | I am a Sounder
Sounder At Heart
by Dave Clark on Jul 21, 2011 8:05 PM PDT up reply actions 1 recs
what i notice
A couple things, how many times did a team have 70 percent? Also what’s the passing percentage to shots on goal graph look like? To me i’d say above 70 percent is an outlier and there is no correlation between goals scored and passing percentage unless you’re really good or really bad.
Then i’d want to no the mean on goals scored per match for the mls cause that’s the only true way to tell if its statistically significant relative to just an average match.
by python6114 on Jul 22, 2011 12:20 AM PDT via mobile reply actions
I always knew Sainey was the better Nyassi
You will hear us on Brougham, you will hear us on Occidental, you will hear us on King. We are all around you, there is no escape.
Sanna,
put up a hat trick on Wedensday. And acorrding to FSC annoncers they have a solid defence. That is why we will never be contenders like them.
I ment to say..
Sanna put up a hat trick against NY on Wedensday. And acorrding to FSC annoncers they have a solid defence. That is why we will never be contenders like them.
Need to drink less at lunch i guess.
an additional complement
You mention the distinction between safe passing and risky passing in reference to Mauro Rosales. An interesting complement to these statistics, then, might be Key Passes and Assists per 90 minutes, which would measure the creativity of your passing.

by 




















