Marc Lamberts

Marc Lamberts

@lambertsmarc.bsky.social

Medieval Historian. Football nerd. CAF A. Weltschmerz. 🇳🇱🇹🇿

1,893 Followers 1,436 Following 645 Posts Joined Sep 2023
1 week ago
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The stagnation or evolution of zone 14? Once in a while, I have this illusion that I’m well-equipped enough to write a more data-journalistic piece. Don’t worry, the urge will…

The stagnation or evolution of zone 14? ⚽️

I looked at zone 14 usage in the Premier League from 2021-22 to 2025-26 and found that zone 14 still plays a vital role in attack, but in much different and less dominant ways than we might think.

marclamberts.medium.com/the-stagnati...

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1 week ago
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Introducing Entropy-Adjusted Expected Goals (xG-adj) You can’t escape it if you are interested in football: Expected Goals (xG). Every football app has it listed with the shot data; you can’t…

Introducing Entropy-Adjusted xG: Measuring Repeatability in Attacking Performance 💻📊

Using entropy-analysis to see which part of traditional xG can be reproduced regardless of season, club or level. Case study with 4+ seasons of Premier League shots.

marclamberts.medium.com/introducing-...

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1 week ago

Morning.

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1 month ago
Preview
The stagnation or evolution of zone 14? Once in a while, I have this illusion that I’m well-equipped enough to write a more data-journalistic piece. Don’t worry, the urge will…

The stagnation or evolution of zone 14? ⚽️

I looked at zone 14 usage in the Premier League from 2021-22 to 2025-26 and found that zone 14 still plays a vital role in attack, but in much different and less dominant ways than we might think.

marclamberts.medium.com/the-stagnati...

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1 month ago

Morning! Have a great day 😊

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1 month ago

Thank you John!

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1 month ago

Birthday. Chapter 34. Never thought I would make it, but here we are. Bless you my friends.

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1 month ago
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Modelling Post-Save Rebound Sequences with Hidden Markov Models Goalkeeper data analysis is one of the hardest things I have experienced doing in this space. So why do I keep challenging myself to do it…

Modelling Post-Save Rebound Sequences with Hidden Markov Models

Using event data from Swedish Allsvenskan, I try to find value from parried saves and post-save sequences using Hidden Markov Models and Logistic Regression with Lasso-Ridge regularisation.

marclamberts.medium.com/modelling-po...

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1 month ago

Morning!

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1 month ago

It's good to remind myself that my worth is absolutely not in the reaction of social media to my models; however, it can be hard to put in all these hours to share something in public and get no response.

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1 month ago
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Expected Shot Danger: building an alternative to xG Expected goals. I don’t even know where to start with how I feel about this particular metric, but I’m going to try it anyway. I feel that…

Expected Shot Dange: Building an alternative to xG

marclamberts.medium.com/expected-sho...

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1 month ago
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Introducing Expected Second Ball Retention: adding value to second balls Football metrics and models are also under the influence of trends within football. One of these trends is the use of set pieces to…

Introducing Expected Second Ball Retention.

How can we add value to second balls and create meaningful insights from them?

marclamberts.medium.com/introducing-...

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2 months ago
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My new project: Rebound Value Models.

My first look (WIP) at adding value to parries and consequent rebounds after shots. Using Hidden Markov Models to generate different insights.

Full article and explanation coming soon.

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2 months ago
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Introducing Expected Second Ball Retention: adding value to second balls Football metrics and models are also under the influence of trends within football. One of these trends is the use of set pieces to…

Introducing Expected Second Ball Retention: adding value to second balls ⚽️📊📈

With this model and consequent metrics, we can capture the xSBR of long balls from the defensive third to enhance dominance higher up the pitch.

marclamberts.medium.com/introducing-...

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2 months ago

Happy new year to you too!

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2 months ago

2026 innit.

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2 months ago
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Introducing Expected Second Ball Retention: adding value to second balls Football metrics and models are also under the influence of trends within football. One of these trends is the use of set pieces to…

Introducing Expected Second Ball Retention: adding value to second balls ⚽️📊📈

With this model and consequent metrics, we can capture the xSBR of long balls from the defensive third to enhance dominance higher up the pitch.

marclamberts.medium.com/introducing-...

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2 months ago

Thank you so much, Alex!

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2 months ago

Great to see @lambertsmarc.bsky.social and @begriffis.bsky.social on this list, as well as a piece by @shelatneel.bsky.social for @analyticsfc.bsky.social

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2 months ago

3 hours of sleep. This should be interesting 🤔

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2 months ago

Oh I feel you. Same.

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2 months ago

How are you doing ?:)

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2 months ago
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Let’s go.

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2 months ago

Morninggg

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2 months ago
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AFCON

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3 months ago

In this article, I speak about the theoretical framework, methodologies, different versions of the model and how we can implement it as a complementary model to xG. 3000ish words. Pretty proud of the work.

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3 months ago
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Expected Shot Danger: building an alternative to xG Expected goals. I don’t even know where to start with how I feel about this particular metric, but I’m going to try it anyway. I feel that…

Expected Shot Danger: Modelling danger probabilities from shots 📊⚽

Over the past year I've been developing a shot-based model that started as an alternative for xG, but has developed as model that ranks shot danger based on blocked and unblocked shots.

marclamberts.medium.com/expected-sho...

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3 months ago
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I wrote something. 3000ish words.

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3 months ago

Morninggg

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3 months ago
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Lessons from the NFL: Explosive plays analytics Converting plays from NFL/NCAA to football with Explosive Value Models

Lessons from the NFL for football: Explosive plays analytics

marclamberts.substack.com/p/lessons-fr...

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