xG said one thing. The result said another.
@SPL's Jes Buster Madsen explains why that gap matters – and why analysts need to go beyond descriptive models to properly understand what happens in a match.
#OptaForum2026
CricViz built a Skill Scale for the #ICCT20WORLDCUP .
Everyone saw the numbers. Nobody knew what they meant.
So I built my own. Where every number has a cricket answer.
Thread 👇
In 2007, sitting at my desk in Microsoft I got an email that my H1B visa was rejected. It was crushing and numbing at that moment, but life-changing eventually when I moved back to 🇮🇳. To those impacted today, be positive. There is something much bigger & better in store for you.
Wonder why that finish felt a tad underwhelming? The baddest guy did the bad thing to the good guy to cheat & win the world title to fulfil the John Cena heel turn narrative. Was it the lack of multiple interferences like last year or just the Rock not showing up #Wrestlemania
Here are the other finalists:
Fifth Place – Kal Aaj Aur Kal – Ramanan, Varun, Srinivasan
Sixth Place – Batting a? – Krishnan, Ajay and Priya Seventh Place – Strangers on a Train of Thought – Nirupama, Mukund, Denita
Eighth Place – No Idea – Amit, Vinod and Adhitya
Essential material addressing the most common question I get.
One aspect @mixedknuts & @analyseFooty touched on that I try to make explicit when asked about this:
First ask yourself which statement is more true
“I want to work in sports”
Or
“I want to work for a team”
1/x
I'm busy working on other stuff (Gambling for Friday) and don't have time to dig into the Cox article or this, but they've triggered interesting discussions.
I no longer have things to sell in football analytics (unless it's myself, and the newsletters/podcasts do that way better than a Twitter post). But from the perspective of someone who has been an insider for a decade and is friends with lots of insiders.
Data/analytics have had a HUGE impact on recruitment. Literally everything about the job and process is different now.
It's subtle, but the same is true for a lot of video analysis. Cutups for players and coaches are made off of data points that didn't exist 15 years ago.
Data has had a moderate impact on style of play and game models. I don't want to go into huge detail here because a lot is still amazing IP we and others have developed and I get grumpy DMs when I talk too much.
Part of this is coaches are still 'tweeners. The ones that were in place when the data revolution was starting wanted nothing to do with it. The newest coaches are pretty steeped in it. Everyone else is learning on the fly, taking bits and pieces, and coaches still have the biggest impact in what happens on the pitch.
In fact, the gap between data knowledge of what SHOULD happen and coach implementation is one of the largest friction points in football now. Coach education remains a big problem.
Training impact is still relatively nascent. Partly because few teams collect training data, and partly again, because coaches control training and are still pretty early in their learning journeys. But it has 100% changed how teams do finishing and attack training.
And it has ABSOLUTELY changed how teams search for coaches and styles of play.
And the biggest impacts of training will be secretive IP for a long time, which is why no one is plonking it down in books.
Oh yeah, and it has completely and utterly changed how half the media talks about the sport. Something we were told would never happen, because nobody likes a fucking box score, mate.
So yeah, data has changed massive amounts about how football as a sport operates, but a lot of it is so gradual you'll barely notice it.
What is Basra? Is it neccesary in cricket or is it just a nice looking number to justify selections!
Watch the full video here.👇🏾
https://t.co/r8Tp73T29H
#cricketchanakyan#basra#jiotamil#IPL2024