Joey Veerman – Event data analysis

17-02-2021: Voetbal: SC Heerenveen – Feyenoord: Heerenveen, Joey Veerman of sc Heerenveen

On day 6 of my own personal blogmas, my attention goes to the Eredivisie. Joey Veerman to be precise. Veerman has been in demand in the Netherlands, but also certainly in leagues abroad. While he didn’t get his desired transfers in the summer, many clubs are still following him and are trying to get him in the next window(s).

In this analysis, I will use event data visualisations to show his performances in the first 15 games of the 2021/2022 Eredivisie season. The SC Heerenveen player still remains an important player and I will illustrate why that is through three different metrics:

  1. Shots
  2. Opposition’s half passes
  3. Heatmaps

This article is not only to show how Joey Veerman is performing, but also to show that in a few visuals you can highlight a player’s performance with event data visualisation.

Shots

In the image above you can see every shot taken by Joey Veerman in the 2021/2022 Eredivisie. As you can see there are two different colors: red indicates a goal, while grey indicates a shot. A shot means a saved shot, a blocked shot or a shot hitting the post. We can see the location of the shot by Joey Veerman and this all the shot events combined from the first 15 games of the current regular season.

The conclusions we can draw from this particular map is that he looks to shoot more from the right side of the pitch, but that 66,67% of his goals come from the other side. We could say that you shouldn’t let him shoot from the right because he loves to shoot from there, but we could also say let him shoot from there, as he isn’t that prolific from that side. He has an average of 0,9 shots per game which is a total of 14 shots. 3 of those shots went in, so that’s a conversation rate of 21,43%.

Final third passes & heat map

In the image above you see two different visuals. The first is visual on the passes made by Joey Veerman in the first 15 games of the season with a twist. Instead of looking at just the passes, I have filtered the passes which have only occurred on the opposition’s half. In the image above the title is off – but the plotted passes are correct. We see that the successful passes have been in the middle third and going to the attacking third, but more unsuccessful passes are within the attacking third. This is not something stranges as the risk on those passes is higher, but he still does attempt them – he wants to think forwards.

In the second visual we see the heat map of the first 15 games of the season. It’s hard to conclude very much details without seeing grids, but what you can see is that how brighter the light, how much more events have taken place there. He operates a lot in front of the penalty area and aiding his defender, as he plays as a defensive midfielder sometimes or drops deep as a central midfieder. He does player in the middle third as well and does it frequently, but nothing like that in the attacking third – only a very specific area on the right flank.

This quite short article gives you a hint of what is possible with event data and how you can use it with visualisations. Combined with match data and the video analysis, you can offer an extensive and complete analysis of players, teams or matches.

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