lambertsmarc's profile picture. Football IQ Scientist. CAF A. Mental health.

Marc (@lambertsmarc.bsky.social)

@lambertsmarc

Football IQ Scientist. CAF A. Mental health.

Marc (@lambertsmarc.bsky.social) memposting ulang

Hahaha AFCON is so so back. First game, first overhead kick, Ayoub el Kaabi. Stunner.


No midfield and vibes

Most physical leagues as per high intensity distance* per player & 90', 4⃣7⃣ top divisions, @SkillCorner 😍 🥇 #Eredivisie 🇳🇱 813m 🥈 #Eliteserien 🇳🇴 784m 🥉 #SuperLeague 🇨🇭 770m #Allsvenskan 🇸🇪 #PremierLeague 🏴󠁧󠁢󠁥󠁮󠁧󠁿 #Superliga 🇩🇰 #Bundesliga 🇩🇪 #Ligue1 🇫🇷 #CzechLiga 🇨🇿 #ProLeague 🇧🇪…

CIES_Football's tweet image. Most physical leagues as per high intensity distance* per player & 90', 4⃣7⃣ top divisions, @SkillCorner 😍
🥇 #Eredivisie 🇳🇱 813m
🥈 #Eliteserien 🇳🇴 784m
🥉 #SuperLeague 🇨🇭 770m
#Allsvenskan 🇸🇪 #PremierLeague 🏴󠁧󠁢󠁥󠁮󠁧󠁿 #Superliga 🇩🇰 #Bundesliga 🇩🇪 #Ligue1 🇫🇷 #CzechLiga 🇨🇿 #ProLeague 🇧🇪…


Morning! You got this 🤌🏽


Excuse to post something, now I have updated core color palette, but here is a look at Belgian teams' throw-ins into the box

lambertsmarc's tweet image. Excuse to post something, now I have updated core color palette, but here is a look at Belgian teams' throw-ins into the box

Agree with @JakeEntwistle here, and what's vital is a common football language: use the same words/labels for metrics in your data reports as you do in your video/live reports.

I was preaching something similar in this @scoutedftbl newsletter. Knowing the definitions inside and out gives you a massive advantage: scoutedftbl.com/separating-box…



If you know what it takes to build xG-models, you will understand it much better + use it in a way that’s more representative of the data. Measuring finishing on match-level data? ❌

Club staff use and understand xg more deeply than most others. It's why working in football is incredibly hard at the highest level - just like playing. There's immense talent at the staff level of elite football.



Marc (@lambertsmarc.bsky.social) memposting ulang

👇👇👇 Being able to know what a metric is, how it’s collected (and may vary by provider), what influences it, different ways to interpret it, limitations of it, what focal level it can/should/shouldn’t be used on, what other metrics it complements/should be complemented by…….

Club staff use and understand xg more deeply than most others. It's why working in football is incredibly hard at the highest level - just like playing. There's immense talent at the staff level of elite football.



Very proud of what I have done with this. Not so much the output, but much more the creative process behind it.

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-shot-…



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-shot-…


Marc (@lambertsmarc.bsky.social) memposting ulang

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-shot-…


This is not only an insightful data viz, but creating the calculation and engineering behind it is actually a great example of using event data to get good insights into trends. @BeGriffis does that really well.

Sena Igarashi's throws into the box led to 6 goals for Iwaki this season, and 42 further shots

BeGriffis's tweet image. Sena Igarashi's throws into the box led to 6 goals for Iwaki this season, and 42 further shots


Ryo my friend, another incredible review. King 👑 🐐

🆕: The #JLeague ⚽️🇯🇵 2025 Season Review! LINK 🔗: shogunsoccer.com/p/jleague-j1-2… Insights from data 💻 & watching the games 👀! - Team Tactics 💡 - Squad Age Profiles 👨‍👨‍👦‍👦 - ⚽️ by ⌚️ & Situation - Team/Player xG 📈 - ... and more! #Jリーグ #サッカー

R_by_Ryo's tweet image. 🆕: The #JLeague ⚽️🇯🇵 2025 Season Review!

LINK 🔗: shogunsoccer.com/p/jleague-j1-2…

Insights from data 💻 & watching the games 👀!

- Team Tactics 💡
- Squad Age Profiles 👨‍👨‍👦‍👦
- ⚽️ by ⌚️ & Situation
- Team/Player xG 📈
- ... and more!

#Jリーグ #サッカー
R_by_Ryo's tweet image. 🆕: The #JLeague ⚽️🇯🇵 2025 Season Review!

LINK 🔗: shogunsoccer.com/p/jleague-j1-2…

Insights from data 💻 & watching the games 👀!

- Team Tactics 💡
- Squad Age Profiles 👨‍👨‍👦‍👦
- ⚽️ by ⌚️ & Situation
- Team/Player xG 📈
- ... and more!

#Jリーグ #サッカー
R_by_Ryo's tweet image. 🆕: The #JLeague ⚽️🇯🇵 2025 Season Review!

LINK 🔗: shogunsoccer.com/p/jleague-j1-2…

Insights from data 💻 & watching the games 👀!

- Team Tactics 💡
- Squad Age Profiles 👨‍👨‍👦‍👦
- ⚽️ by ⌚️ & Situation
- Team/Player xG 📈
- ... and more!

#Jリーグ #サッカー
R_by_Ryo's tweet image. 🆕: The #JLeague ⚽️🇯🇵 2025 Season Review!

LINK 🔗: shogunsoccer.com/p/jleague-j1-2…

Insights from data 💻 & watching the games 👀!

- Team Tactics 💡
- Squad Age Profiles 👨‍👨‍👦‍👦
- ⚽️ by ⌚️ & Situation
- Team/Player xG 📈
- ... and more!

#Jリーグ #サッカー


Exciting football news to share soon. One of the reasons why I haven't been writing lately. Things are looking up :)


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