Hi John, I commented on the athletic article too - I should have said, these look great overall! Looking at this set my eye immediately goes to the territory map, then to the stat dots below that. At least for me the design tells me these are the most important parts of the dashboard - they're centred, and they're the most colourful. My videogame-trained brain is also drawn to these dots as they kinda look like acceleration/top speed/handling or similar stats in games. More dots = better.
Comparing these dots - especially the Everton and Fulham games - I wonder if there is any way for the data to show "Effective Dycheness"? I've not watched the game back but I assume it was never in doubt that Everton would win. On all these key stats though it looks like Burnley was superior, in a similar way that it looks like Newcastle dominated Fulham. Dyche is clearly doing something right at the moment but it might be difficult/impossible to show with on-ball data.
One more small point - on the momentum chart for Fulham, the red card indicator is closer to the territory map than the threat bars, it took me a minute to figure out what it was. I am guessing this position is set by the max length of the bars on either side? Could it be brought closer for the less threatening team?
Thanks for the thoughts! The team stats represented by the dots are basically a set of KPIs measuring a playstyle that’s generally associated with winning teams: buildups, circulation, high pressing, etc. Burnley-Everton is an especially fun test case because Burnley are a bad team that play like a good team and Everton are good but play like they’re bad. We did talk about adding a set piece effectiveness metric that might help capture some of what Everton do well, but for now at least they’ll usually look good on the shot maps
Love the dashboard, John! There's a small thing that I'd like to add, which is a note to indicate that the size of the player's dot on the passing network increases by the level of xT that the player contributes (I assume?), just for clarity and nothing else :)
Thanks Daryl! The size of the circles in these pass networks corresponds to pass count. We've got a standalone version that uses color to represent the possession value added by a player's passes, but for the match dashboards I wanted to keep things a little simpler with team colors
Very cool dashboards, John. I have a question: have you thought about adding a histogram of the distribution of touched for the map of the football field at the top along X-axis? This would add to the understanding of workload of different zones. Now it is not completely clear whether both teams did a lot of action in the Liverpool penalty area or both did little. Thank you.
Hi John, I commented on the athletic article too - I should have said, these look great overall! Looking at this set my eye immediately goes to the territory map, then to the stat dots below that. At least for me the design tells me these are the most important parts of the dashboard - they're centred, and they're the most colourful. My videogame-trained brain is also drawn to these dots as they kinda look like acceleration/top speed/handling or similar stats in games. More dots = better.
Comparing these dots - especially the Everton and Fulham games - I wonder if there is any way for the data to show "Effective Dycheness"? I've not watched the game back but I assume it was never in doubt that Everton would win. On all these key stats though it looks like Burnley was superior, in a similar way that it looks like Newcastle dominated Fulham. Dyche is clearly doing something right at the moment but it might be difficult/impossible to show with on-ball data.
One more small point - on the momentum chart for Fulham, the red card indicator is closer to the territory map than the threat bars, it took me a minute to figure out what it was. I am guessing this position is set by the max length of the bars on either side? Could it be brought closer for the less threatening team?
Thanks for the thoughts! The team stats represented by the dots are basically a set of KPIs measuring a playstyle that’s generally associated with winning teams: buildups, circulation, high pressing, etc. Burnley-Everton is an especially fun test case because Burnley are a bad team that play like a good team and Everton are good but play like they’re bad. We did talk about adding a set piece effectiveness metric that might help capture some of what Everton do well, but for now at least they’ll usually look good on the shot maps
Love the dashboard, John! There's a small thing that I'd like to add, which is a note to indicate that the size of the player's dot on the passing network increases by the level of xT that the player contributes (I assume?), just for clarity and nothing else :)
Thanks Daryl! The size of the circles in these pass networks corresponds to pass count. We've got a standalone version that uses color to represent the possession value added by a player's passes, but for the match dashboards I wanted to keep things a little simpler with team colors
hey john had a question,
is there some easy way to find all of the match dashboards after every weekend of matches? i can't seem to find any centralized location for them
Very cool dashboards, John. I have a question: have you thought about adding a histogram of the distribution of touched for the map of the football field at the top along X-axis? This would add to the understanding of workload of different zones. Now it is not completely clear whether both teams did a lot of action in the Liverpool penalty area or both did little. Thank you.
Example:
https://raw.githubusercontent.com/jtlandis/ggside/main/man/figures/README-example-side-themes-1.png