now to stay at the top of the game is becoming increasingly important to also have the best i got. so how is artificial intelligence changing? football? could you imagine supporting a football team made off of robots? these robots are already able to play against each other on the football field. the goal of the rather comfortable the noise is that by 2050 that robots will be able to defeat hope all is well champions. to be honest though, it's hard to imagine traditional football fans being that excited about a verbal football team. but technology is becoming more and more important in sport with a fans like it or not. digital clocks, the documenting yellow and red cards. lines paypal, kate, the rest in the loop by a radio and with the help of video assistant ref rays of a uh, the game is assessed from full angles. pip side monitors provide video evidence. it's undeniable. professional football is more technical than ever. you all can

raise is responsible for a free innovation at the german football association known as the day of pay. the investment takes me commodities. so technology makes sorta fair. it makes decisions, verifiable, more transparent. decisions can be assessed as right or wrong. the vast majority of decisions can be categorized in this way, but fans on always as enthusiastic, it can take a long time to john to be evaluated. and this is all pass, investigate, even having to be careful that the technology doesn't take over now. and you have to differentiate between times when using it make sense. and when it might endanger the nature of the game on the fantasy, i think you know, to, at the end of the day, but still the referee, who must decide whether the outputs provided by match their perception on the picture appear in the to we even have also my, the volume awesome that's and that's where i applications come in. the world football association fee for has already gradually used

a new semi automatic off site detector in tournaments, cameras mounted under the stadium roof and census in the bowls and thought out to an a systems. this then calculates the relative position of players and the bowl 500 times. the 2nd defend generates the 3 day models and notifies the referee when a player is offside. someone that goes it the whole boat, the upside. it's not to steal that if it is out of the seas that i, if it is the, are responsible for the decision on the field of play. they uh, is a controversial topic in football, but it's not going anywhere. so football fans might as well in price that and that's where artificial intelligence can actually help as the tech gets better referees will be able to make it better decisions. of course, that means training the systems properly and football authorities do need to ensure it's safe. got it against manipulation by humans, the events and peace of using the up 3 of the from out here been referee use,

we have deliberately manipulated matches. so of course, when introducing new technologies, we must ensure that they run a secure with is it possible for example, that they can not behind or manipulate it? somebody outside, they haven't, criminal was money. forget to have them come in order for i models to work. they need a lot of data. luckily football already has bucket loads in modern game analysis their to data types this event on like, who passed this, how often. and then there's positional data. profess a minute from the german sport university. cologne explains really what we see positional data in both football and to handle the video in the corresponding visualized position data, individual players behavior can be extrapolated from positional data. tactical structures of the team can also be recognized. and hate map show who was with during the game. the daughter is gathered, but track is in chest straps. one by the players for save is around the pitch and

show that the data is transmitted securely. the set to then analyze in real time on line. another way of collecting positional data is to evaluate images using so called computer vision. the one difficulty is that not all players are always visible in the image at all, i could be the solution here to the document hub fiscal us. i hope people find the more data you have, the higher the probably ability that you will find patterns. those patterns can be used to establish your correlation, which can help predict future outcomes. at the end of the day, football is complex. many parameters play a role, but the more parameters i include in my analysis, the closer i am to we have a thank you. this includes this, this one near finish, off on that, and the importance of data is increasing as is the demand for matt catalyst. they often considered just as important as traditional assistant coaches,

but to be able to use the data extensively, analysts need training that need to have him skills most match. analysts don't have the programming skills needed for working with data in a targeted and quick fashion vita so all by the sofa comprehensive data collection exist mostly in top, your pain legs. but in the future, a team success will depend not only on having the best players and coaches, but also the best program is and it's called it's called and the ad in uh, the best thing. now it's all about who builds the best day. i who as to best parameters and who can use outputs from games or training, they must draw the right conclusions, communicate essentials to the players, and ultimately improve training programs as a people, what do you think spend towards in 19 and analyzing data as quickly as possible with i, i has become a crucial in professional football and it's even able to predict the probability of injuries england international high retain has invested in an ios system which uses

real time data to maximize training programs. this can prevent injuries and optimize performance. artificial intelligence can also detect exhaustion which could help coaches during matches. they'd be able to take place off the field before they even have a chance of getting injured. this is just one area where coaches could make use of a lot and the tech is already helping them to find weaknesses in the off position. typically match analysis takes place on the screen, like here at the german sport university cologne daughter is collected and analyzed, such as police opponents behavior corner kicks, for example, for sauce, but time consuming your 1000. i need to be analyzing a game with video data with take us about 8 hours, depending on how many parameters we include. put if we have position data and analyze it with our software, the same task takes 8 seconds. so we can evaluate

a lot more games in a shorter time. this level clear advantage for those teams already working with those who can evaluate more games will more readily recognize, putting in opponents tactics. and based on that training plans can be tailored for each new opponent genuine limits as the effectiveness of a new tactical approach can be tested to see. and as a team have access to data from the general dislike up kind of what is what these annoying who can talk to can you can test new group tactics or new skills beforehand. we can test those things here at the sports university and say the next day whether it made a difference or not. i thought of the sliced risk up until today, such skin starts would become apparent only over the course of the season, or even after a few to fates. but now price stays in the analysis allows for more targeted

training tactics that the idea is unsuccessful. are avoided for daniel mehmet football success con, only be planned on a computer for some spots on the other side of the front seat on the football differs from many other sports in that there was a large element of chance. we're talking 42 percent of all goals, cuz gordon, unplanned actions that can be trained to him and defense. why the game will always remain a bit mystical. maybe that's why it's so exciting on the side. also, functions on football will always have that unpredictable element which makes it so loved by millions across the world. but algorithms could still help with many important questions. like how can players improve the game even further? or is it worth buying a certain player? that's what german analysis platform play a is attempting to achieve with their system. top and bottom,

a talent as this past. and you made up in mind hudson. the data gives talent visibility, and the more data we have the board visible global talent will be for us. personally, i believe that a i will completely change football and democratize football mia means was i'm gonna have to show klein or mission. so the more accessible data becomes, the easier it will be for smaller clubs who don't have 2050 head scouting teams to find claims for their ranks. this could be the, the, uh, then i can find city, i mean, a bunch of the highlight platform play uh, analyzes data to find the next generation of full size, making recommendations to clubs on who to look out for play, use as data from football associations. but also it collects its own, missing all of human 9, snorted sheets to then feed. also note whether someone scores a one new oral for new whether someone passes forward or backward 6 got whether it

happens under pressure, whether it triggers something since whether it influences the rest of the game. this involves 400 data points, which we have converted into 12 mega matrices, 12 data points that are most important for a particular position. and we might be of interest to them. today play a composite and compares data from close to a 1000000 football games. what small 300000 players are documented in the system such as buying unix, jamal, and we'll see on amazon, put in seattle and copeland kind of yeah, it's fine. extreme to know plans via i can see what his potential is on our end as a club. i can plan for that. yeah. i see. 2024 is he's here and after that to lose a little momentum. yeah. but not significantly in 2025, 2026. you'll continue to play at the top of this game and position new role of the met him. i mentioned it to make his claim the i o i can calculate plays future

performance with an impressive 90 percent accuracy to further improve the full costs of frequently monitored and results scrutinized. could this main goodbye for its human kind of puts me in these that progress? stick in my some bisson of the august dusty machine and runs us as i can. and the question implies a kind of fear, a few of that machines will take over football and everything else too. i don't believe that will happen. it will never happen in my bye, even to my thoughts that of i'm of the mentioned on with progress. it always depends on whether we can approach innovation fearlessly, bravely and wisely, to make better decisions. not on, i thought best of it and try it on some path. embracing tech, it can only be beneficial for football. unfortunately, based systems still aren't available for everyone. some of them such as play a, a currently only focusing on the men's game. and it's clear that to use

a line football the moment you need cash. so we'll artificial intelligence actually make the game better, or will it just makes the beach club strong bell? let us know what you think and see you next to the imagine that you're eating a hamburger. and as you're biting into this juicy bird or your dining companion says to you, actually that hamburger is not made from kaos. it's made from golden retrievers. 2 2 2 2 2 2 2 in meeting cultures around the world, people learn to classify small handful of animals with edible and all the rest of the classify as disgusting. a donkey series about our complex relationship with

them and also need to be watching now on youtube dw documentary. hello guys. this is the 77 percent of the platform for these issues and share ideas the, you know, or the side that will be a not a great to catch. and then the topic applicants population is really fast. and young people clearly have the solutions. the future is 77 percent every weekend on dw the the, [000:00:00;00]

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