Posted On May 01, 2024
In the first of our MLS Next data posts, we took two U19 games from a game weekend and put the video footage through our data model.
In the first of our series of MLS Next data posts, we decided to take two U19 games from a game weekend and put the video footage through our data model. We collected player performance data from footage on:
• Sockers FC U19 v SLSG Academy U19 05/01
• Met Oval U19 v Boston Bolts U19 04/30
Over the course of the two games, our analysis team collected close to 4900 individual player data points across set-pieces, possession, attacking and defensive metrics. With the data broken down into player position, 1st half, 2nd half and FT categories, we were able to create a vivid & extensive performance data picture of each team across the two games.
For the purposes of this blog, we will concentrate on some interesting outcomes we were able to assess from a possession point of view from the two U19 games.
Note: All metrics in the below piece are available per player, per half and per game where required. Not just overall team totals.
Across the two U19 games, there were some notable findings around certain percentage outputs. Those catch-all metrics that captures the true essence of a particular team’s effectiveness in possession.
At PlayerStat Data, we always feel that the pass completion metric is only useful when accompanied by other metrics. This table represents why we think this way. For context, a progressive pass is any pass played towards the opposition goal.
Met Oval U19s had the highest pass completion rate (86.74%) of all four sides but conversely, they also had the lowest progressive pass attempt rate (46.41%). This suggests one simple style – a conservative possession style on the day & propensity to play the ball sideways/backwards a lot more often than in a forward direction.
In an opposite, St. Louis Scott Gallagher U19s had a relatively poor pass completion rate (70.85%) compared to the other three teams. When looking at their progressive pass attempt rate (62.73%), we can see a reason for it being so low. A far higher proportion of their passes were played towards their opponent’s goal, thus increasing the level of risk in each possession play. The completion rate on these progressive passes (59.41%) points to the fact that the players’ accuracy wasn’t what it should be on the day, but the coach can take solace in the fact his players were a lot more adventurous in possession than their counterparts.
Simply put, here we were able to tally up & promote the number of overall successful pass attempts per team, unsuccessful attempts & the total number of attempts per team. Useful as a reference & as a measure of possession domination etc. but it doesn’t tick many other boxes outside of that.
When we add pass directional data into the mix, this gives far more context & weight to these outputs. Where did the team stand out in possession? Were the totals boosted by a high proportion of side/backwards pass attempts?
Let’s go into some slight detail on each side’s output across various categories:
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