you so much for joining in. welcome to don't hold bags. a lot of people do that. it's all about saying it aloud. that's what it being nosy bay, like good. everyone to king. check out the award winning called called the callback the if you want to be the best and professional football you're going to have to meet the best players, the best training and the best strategy. and now to stay at the top of the game, it's 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 cuff organizes 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. a digital clock. so documenting yellow and red cards. lines people, kate, the rest in the loop, fly radio and with the help of video, assistant referees of the 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. yeah, it doesn't take me monday. 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, to be evaluated. ministers of pass investigate,

you have 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 assistance. this then calculates the relative position of players in 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 topside, 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 embrace it. and that's where artificial intelligence can actually help as the tech gets better referees will be able to make 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 me up 3 o 3 from out here in river we use, we have deliberately manipulated matches. so of course, when introducing new technologies, we must ensure that they run a securely as a possible fit for example, that they can not be having or manipulated somebody outside. they have them criminal, was money for you 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 there to data types. this event thought i'd like to process how often,

and then there's positional data, profess a minute from the german sport university. cologne explains. we have a, 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 am to reality. this includes this, this in the opinion on that any importance of data is increasing as is the demand from that channel list. they often considered just as important as traditional assistant coaches, but to be able to use the data extensively, analysts need training. i think the 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, you're a pain lakes, but in the future, a team's success will depend not only on having the best players and coaches, but also the best program is and it's called cost and the ad in 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 to people. what do you think's been towards in the 19th and it's about 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 iowa 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, precise time can see your 1000. i need you to analyzing a game with video data with take us about 8 hours, depending on how many parameters we include, put to see if we have position data and analyze it with our software. the same task takes need seconds. so we can evaluate a lot more games in a shorter time. this last clear advantage for those teams already working with a lot of those who can evaluate more games were more readily recognized. hutton's in opponents tactics and based on that training plans can be tailored for each new opponent. right over. okay. can you a minute says the effectiveness of a new tactical approach can be tested to see and as a team have access to data from the job and put this lake up

kind of what is what these annoying 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. until today, such insights would become apparent only over the course of the season, or even after a few to fates. but now pray stays in analysis allows for more targeted training tactics that the idea is unsuccessful. are avoided that daniel limit football success con, only be planned on a computer postponing some spots on the other side of the field on the football differs from many other sports and that there was a large element of chance. we're talking 42 percent of all goals scored in 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 effect also functions of 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. document for me, a talent as this past. and you made up in mind that the data gives talent visibility and the more data we have about the board visible global talent will be for us personally, i believe that a i will completely change football and democratize football. mia? i mean it's because 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 is cut speed for the then i can find city, i mean

a bunch of the i o i 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 snort sheets to then we also note whether someone's scores a window or a for know 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 or just to just to be 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 has 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 pass this in the 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 with this main goodbye for its human kind of puts me in these, that fire stick and my some bisson of the honest 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 off i'm of the mention 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 system still on available for everyone. some of them such as play uh, 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 make the beach club strong? well, let us know what you think and see you next month. the savings really to do is it is screening around the cities,

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