News & Blog

News and analysis from the OptaPro team.

FILM: Gegenpress tactics are analysed using the sequence framework. Dortmund. 22 Jun

Using the sequence framework, @BVB's tactics are assessed under Jürgen Klopp and Thomas Tuchel. Analysis. 19 Jun

.@mixedknuts introduces and discusses a more considered approach to evaluate passing ability. Distribute. 15 Jun

‘Why underdogs do better in hockey than basketball’ – @voxdotcom assess how well sports measure skill. Variance.… 13 Jun

Taken from the OptaPro Portal, we share some brief highlights from this year’s @TounoiToulon.…… 9 Jun

.@Worville applies sequence data to the 2016/17 Premier League season. Involvement. 8 Jun

BLOG: @jmyrharkins introduces the possessions model and discusses applications of ‘sequences’.…… 6 Jun

.@jmyrharkins introduces and discusses the possessions model that underpins this analysis from @Worville.…… 6 Jun

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Welcome to the OptaPro blog, featuring news and analysis from OptaPro's cutting-edge research team.

WWC BLOG: Abby Wambach & the USWNT's long-ball problem

Originally posted on, Devin Pleuler analyses the USWNT's style of play.
Posted by Devin Pleuler at 00:00

BLOG: Assessing the use of game state in predictive models

The data shows that whether a team is winning or losing affects the shots they take, but should game state be included in predictive models?
Posted by Devin Pleuler at 13:00

BLOG: Throwing the Kitchen Sink. Efficiency of Half-Time substitutions.

How effective are half-time substitutions?
Posted by Devin Pleuler at 16:32

BLOG: On the topic of Expected Goals and the repeatability of finishing skill

Lately, there has been a lot of discussion in the soccer analytics community around Expected Goals and it's repeatability. Public research in this area has perhaps been the most exciting development the community has had in recent times and in this post we attempt to summarize the crux of the arguments being made and provide an alternative direction to previous research.
Posted by Devin Pleuler at 10:49

BLOG: Augmenting free-kick data for more meaningful results

Why free-kick success doesn't tell the whole story: avoiding the pitfalls of a small sample size.
Posted by Devin Pleuler at 16:36