Based on the constraints - known starting positions, short time period into the future. this makes sense for the NFL

Things are getting wild.

@<a href="#" class="seekto" data-time="1090">18:10</a> "similar thing to warfare..." thats the premise of "I Have No Mouth And Must Scream"

in 70s a statistician worked out that more goals were scored from long forward passes and gave that info to Graham Taylor who was managing a 1st division (I think) and they went up rapidly because that. So this study was done decades ago. Now AI can do it automatically.

American Football and baseball is likely an even more applicable use case for TacticAI in what Petar is describing, in that each play state in American Football is well established because play is more frequently stopped (while in soccer, like basketball, it is almost a continuous, or longer, play state), so baseball, and American Football is kind of like a digital time step at the end of a play in machine learning (just like penalty kick state, and corner kick state is in American Soccer or English Football. I have to blame the Alantic Ocean for contributing to the fuzzification or mix up of the word "football" between the US and England, where in the US we call it "soccer").

"Football". It's pretty easy to see that this is the sort of tech that has urgent military applications.

Happy to have discovered this channel!

Petar is very articulate, great job!

Petar is a great communicator of technical concepts.

Moneyball: The Return

Hari Seldon, psychohistory, hey? Thae old Asimov was such a visionary!

I've been kind of fascinated with whether it would be possible to quantify 'flow' in team sports and how things like errors can be contagious. I think you get a very clear sense of how a team is working together when you watch them play but I've never seen that aspect broken down and analysed. What are the subtle timing errors and signals that propagate out through players and is it possible to recognise them and enhance the cohesive ones and reduce incohesion.

Was just thinking about it recently. Great that someone made it. Yes AI is for that things with it being so great

But did it predict "CORNER TAKEN QUICKLY ORIGIIIII"?

Awesome 👌

I find him so relatable for some reason I think even that reddit mod beard is somewhat relatable, not because it look good, but because we've all taken awful decisions regarding our facial hair at some point

Next step is to turn these graphs into hypergraphs.

Predicting the future outcome of player setups (players and positions and possible moves) in certain play situations based on past outcomes. Is that what it's about?

Would be interesting to determine the player/s with the most efficient/probable beat the defender runs based on the best run to make, finding the best player positioning and movement.

This is geometric deep learning heritage, I sink so, I sink so.

This kinda reminds me of what F1 & NASCAR has done to integrate AI into their strategy. It will know the optimal patterns and play styles to counter each opponent. The part that I question is if that is what wins then who is really making the decisions and what would be the point of human coaches?

Excited to listen to this. I worry that we continue to venture into a pay-to-win model where the best teams across sport are the teams with the most money/resources

why not sit down tho?😀

I literally had this idea yesterday and was wondering how long it would take for Billy Bean/Paul DePodesta 2 to emerge using AI instead of regression models. I guess I did not have long to wait. Billy Bean and Paul DePodesta left their mark on professional sports.

absolutely loving this GDL/NAR/Category Theory arc 🤍

Nice back yard!

Counterpoint: human foibles and unpredictability make life (and games) fun

Of course it was with my club Liverpool. Amazing to hear!!! Cutting edge. Lets gooooooo

excited for when this take makes it to video games like FIFA!!

They mentioned it could be applied to other sports. But they will not make this open source in any way, or available to collaborators, am I right?

Turning into augmented based games that are about scoring closest to the targets augmented for the players. So, it will be about which player can come closest to the best choice based on augmentation. Yet we will find out there are probability spaces we can not account for with maths.

very nice👌🏼👏🏼👍🏼 clap👏🏼👏🏼👏🏼👏🏼

Thanks - I have been pushing back on LLM's will fix everything narrative for a while, and this video has shown me my instinct was right. The more specialized a model and better suited the technique, the better for a specific job. I think we will diverge again from this whole "AGI" talk and go back to the specialized models of 2016-2020. Also like the fact it is light weight and easily refreshed.

Curious!

Hope Arne continues using this.

The pentagon will hire him.

Then teams will just change tactics, as has happened for decades. New systems are adopted, teams get used to them, and then newer tactics / systems evolve. If you have a good team and coach, they'll adopt different tactics during the game. Admittedly, few coaches do so though, and prefer to rigidly stick by "their" system no matter what.

Does it learn from MOTD video or does it need more carefully crafted data? Good for the big international teams. What about the Accrington Stanleys of the world?

System 1 vs 2 is a reference to Kahneman?

I’m curious how they monitor hydration, sleep, vitamins, minerals, mental state, traction of grass/turf on given day, etc.

“The game of football has so many latent things, so many unobservables…and sometimes a human might, in the moment, do something different.” Similar curse to self-driving cars and other unsolved problems where models aren’t embodied or have a theory of mind.

Very interesting application. Software ate the world, AI is gonna swallow it whole. The future will be amazing. One thing I thought interesting is how he described the influence of different players on the success or failure of a set piece. I could imagine taking this on open play and analyzing the players could be huge in scouting.

But can one apply this research to my FM 24 saves?

No offence, but I'm so happy that this will apply only for set-pieces in the near future

Interesting that the corner cases that were easy to approach were the actual corner cases...

This is what basketball needs. The quants and the quals get to settle their qualms.

So who will be the first team to start laying off their coaching and management staff?

This is going to be great for Arma 2

Pep has entered the chat...

So more high corner kicks on Virgil, or ...?

I was thinking at some point maybe AI can watch and analyse football matches, and automatically rate players top speeds, agility etc, or maybe even rank the best players. Exciting times!

I wonder how they collected the data for training the model.

is there not a concern that constraining the network will prevent learning about things such as certain aspects being more important to the topic than was originally thought?

i doubt it

This would be my dream job. But I will never be able to get a PhD in machine learning without burning myself out at a second job. Damn, I wish companies would invest in people. Maybe they can offer courses where you can get hired if you pass

Imagine a team of footballers all fitted with vibrating implants that guide where they need to be on the field in real-time and we all watch AIs play against one another. Could call it AFIF.

What about footedness? Seems discarding symmetry is a baad idea?

Did they get all Data from existing providers?

Why don’t we use this for route optimisation ?

I developed a similar GNN architecture for a well known professional American football organization.

Well, that explains the 'Corner taken quickly' vs Barca

well i guess clubs will save money on managers

How many years away are we from "Lets replace human players with humanoids who can respond better to our AI tactical algorithm providing real time positioning, "velocity" and instructions"? Convince me the game will actually be better with all teams working through tactics generated by machines. We will arrive at a very bland brand of the game where everyone predicts each other and responds accordingly to a dire state - individuality will be punished, collective styles will be punished, unique team compositions will be punished. etc. Look at what Petar assumes coaches actually do - <a href="#" class="seekto" data-time="1029">17:09</a> - "It will free up coaches to do LESS of staring at situations and more of the actual creative and actionable decision making part" - He doesn't understand that creativity isn't something you arrive at, its the result of the very process that technology is replacing. Ask an artist if their creativity is truly manifested when they prompt stable diffusion to spit out 20 images in a minute OR when they spend 2 hours painting 1 image? The PROCESS is the creative part. The "Creative Decision Making" IS the result of the boring "Staring at situations" part - without that you might as well give a monkey 4 options to choose from and go from there. Also, Who would actually enjoy that sanitized version of the sport? Another case of technologists pillaging industries/fields they have no attachment or stake in (so they don't care what they destroy). They're doing it to art, doing it to sport....go solve real problems that are facing humanity - ecological crisis, affordable housing crisis, global energy crisis etc. instead of continuing to destroy the last remaining bastions of human existence & creativity. AI technologists are the human version of lemurs running us off the cliff. Ask how many technologists studied the humanities alongside their software development, statistics courses etc, next to none. This is why you have technologists who don't understand the social and human impact of the work they are pursuing, more importantly, why they don't care. Is the technology cool? Sure but just because you can do something, doesn't mean you should.

How can i get my hands on "Punters Wet Dream". I would make this baby sing.

SportsBetAI when?

Who wants to watch or play a sport where the players have to be brainless human drones doing what the AI tells each team. Then it’s AI vs AI with meat sacks as the chess pieces. This is going to get dystopian real quick.

I went to the same highschool in Serbia as Petar, brilliant guy. But i am not this cool haha

was this not a plot to the anime tzubaza

"Tactical" Football. it's the best way to make max profit out of this.

А помните дом Фландерса?

baseball is the perfect sport for it, so discrete

This is a fascinating topic, but it's hard to focus because the greatest mystery is why he decided on that facial hair. I can see where he has stubble on his cheeks and further down his neck, so he could grow a full beard, but he's gone for a ridiculous looking chin strap. He needs to grow it on his cheeks, but most importantly his neckline is WAY too high and it's so bad it's actively distracting.

I've never been into football and although this is very interesting technologically speaking, it makes me even less eager to watch football. It will significantly reduce the flexibility of football teams to play if everything is about data and sticking to a plan predefined by super calculating robots.

And wot about the after math

Why dont they just simulate the game where each player has given statistics. Then 2 AIs play each other a billion times until both teams are almost perfect strategy? Any surprises would be handled and tested already

This sounds like very complex and hard to collect data?

Yeah but when are they going to do football, which seems perfect for AI.

Smartwatch pitch bans inc

This is the moment we discover that those unpredictable variances he’s talking about are predictable in themselves, that the model proves predestined behaviour, that the universe has no free agents, no free will…jk Feels like if this tech were implemented, managers would seek to deliberately confound it, so you’d need realtime updating to revise any plan you might derive/seek to implement…then managers and coaches would be second guessing themselves against the output… sounds risky, but you run the models and see what can be taken advantage of, right

counting on symmetry in football seems pretty stupid. Football players are not chess pieces, they have affinity for one side or the other.

This clearly hasnt helped Liverpool lately 😂

It still amazes me that AI has not found any cures to cancer or similar problems. They have all the data they need. Petabytes of MRI and Medical condition documentations. Why spend time on corner kicks and not medical side? I guess it is about funding or to put it better, the lack of funding if they decide to disrupt the already money making sectors.

nice video but you need to rilax with the camera blur

A Serbian AI researcher uses his power to beat football. Ofcourse!

Terminator software upgrade lol

Im versed in CNNs but I only understood 25% of what's being said here...

Ultimately, football crowds will come to realise that they have seen pretty much every game possible play out and then the unthinkable will come with a loss of excitement and interest in football as a game that was once full of endless possibilities

Wow, a video that makes football vaguely interesting. =p

The NFL is gonna have ai coaches soon 😭

surely the main limitation is that the AI cant directly control the game...

Chelsea spend 200 mil for AI Corner tactics only for Sterling to fail to beat the first man

AI dopeing

Who's this footbal club investing in this?

All we need is a coach, can it do that? Lol #YNWA

Football is such an awesome sport because no matter how close to a "perfect squad setup" AI generates, the game is played in the pitch, so it shoudn't "break" the game.

didn't help vs atalanta :P

That man is fully committed to that neck beard. You can see it trying to grow up to his face, and he said "nope."

Very cool! Can you make my wife love me again? 🕯

Genuinely it seems to be a false approach for what football is and it is used as an easy to grab funding case study for development in other fields. An AI used in football should aim to use available data that are hard to be collected by humans (in mass) to highlight tendencies and weaknesses of players to perform certain tasks (that are expected of them -i.e. the will be replicated during the game-). Similarly, trying to aid in figuring why a certain player can't perform their role in your own team.

I'm invading Shanghai