Introducing Twenty3 Advanced Metrics

At Twenty3, we built our Toolbox to help our customers get good work and make the most out of data. Whether that’s reference pages for statistics, beautiful graphics, or powerful insight tools, there’s a spanner or Allen key in the Toolbox for you.

The latest addition to the kit sees the introduction of our very own Twenty3 Advanced Metrics, building even further on the extensive provision of our data partners. The reason is simple: we love data, and we want some more of it! 

Ok, there’s more to it than that.

One part of the idea is the launch of Twenty3’s own expected goals model; another is to fill gaps that might be present in existing offerings from data providers; and then there’s also just the chance to create a whole new range of metrics. It may have taken a little while to get going, but the pace of take-up of more ‘advanced’ statistics is only increasing, and we wanted to help people be a part of it.

The Twenty3 expected goals range is expansive, offering not just the usual totals. There are breakdowns by type of attack or body part of shot; combined totals of expected goals and expected goals assisted contribution; and the expected goals that the opposition creates when a player is on the pitch. Does a team seem more solid when a certain defender is on the pitch? Now you can check the xG conceded when they’re playing and when their direct replacement is.

And that’s not all (not even close)…

A list of Twenty3 xG metrics for Tottenham's Heung-Min Son.

There are some other assorted stats that we think are interesting and useful which are joining the party too. We’re adding ‘goal contribution’ so that users don’t have to add up goals and assists in their heads, and so that they can sort by that stat as well.

PPDA, or the number of passes a team allows per defensive action they make, is being added as a metric for the intensity of a team’s press.

There’s also the percentage of a team’s passes that individual players make, which makes for a very simple metric for how key of a cog that player is.

If you want to dive a bit deeper into that kind of thing though, there’s a whole suite of statistics that are being added for this. Football, as a sport, is broken up into spells of possession, with teams using these in different ways. How much width do teams usually have in their possessions, how much time do they spend on the ball during them? These, too, include treats for players, like the number of sequences ending in the final third they’re involved in.

An example of another new Twenty3 advanced metric - percentage of sequences featured in that end in the final third

Over the next few days we’ll have some articles which focus on a few of these new metrics, including an analysis on Real Sociedad using PPDA, plus Erling Haaland’s relationship with post-shot xG, to name a couple.

You’ll also probably see the usage of these on our social media feeds – so don’t hesitate to give us a follow and, of course, in the work of our customers. 

We hope you all enjoy this new tool. We think it’s pretty handy.

All the graphics and visualisations in this article use Wyscout data and were produced in the Twenty3 Toolbox.

If you’d like to learn more about the new Twenty3 Advanced Metrics, or our other products or services, and how they might be able to help you, don’t hesitate to get in touch.