Science Friday
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The 2026 World Cup will be infused with AI. How will it change the beautiful game? Plus, what it takes to get perfect grass into 16 stadiums.
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Hey there. You're listening to Science Friday. I'm Jane Lindholm. I'm the host of a kid's science show called But Why at Vermont Public. And this week, I'm filling in on Science Friday. The 2026 World Cup is finally here. It's already the largest tournament in World Cup history with 48 teams battling it out. But FIFA and the tech giant Lenovo are also trying to make it the most high-tech tournament with the launch of Football AI Pro, which is designed to analyze over 2,000 different metrics to coaches, players, and analysts. But can AI capture everything that happens on the field? And what does AI integration actually mean for the game? Here to discuss with us is Ryan O'Hanlon, staff writer at ESPN and
author of Net Gains: Inside the Beautiful Game's Analytics Revolution. Ryan, it's nice to talk with you.
Hey, Jane. Thanks for having me.
Can you just like tick off all or some of at least the new AI features that FIFA is rolling out for this World Cup?
Yes. So they say most of the AI features are around refereeing and improving the refereeing process. So some 3D modeling using what they are saying, player avatars to be more accurate in terms of calling offside, also being able to determine whether the ball has gone out of bounds for a throw-in or a corner kick. There's also a sensor in the ball. And then they also have the AI tool that you've talked about, which is delivering various metrics, which they've said will democratize the use of AI among all the teams at the World Cup.
FIFA President Gianni Infantino said a couple of months ago, though, that, quote, "We are ensuring that innovation benefits every player, every team, and every fan everywhere in the world." So it sounds like they're trying to make it sort of infiltrate the whole game.
Yeah, I think Gianni Infantino is the first, he'll be the first person to jump on any trend that is happening in the world. And AI is the big thing that people seem to be excited about. So Gianni Infantino wants us all to think that AI is going to transform the World Cup for us for the better. But if I had to venture, I think the result of all this AI talk for fans will less be an improved experience and more be annoyance with hearing the phrase AI over and over again.
Oh, no. So it's not so much for the fans, in your interpretation at least.
Yeah, I don't think so. I think that there will probably be all kinds of new metrics that are thrown at us throughout the tournament. But I think those metrics will, as they tend to be very context-free, black box-produced, and also, as tends to be the case with a lot of soccer statistics you see on television, just not connected to winning and what actually predicts what wins games in any kind of real way, will be my guess. I'm happy to be proven wrong, though.
Yeah, you mentioned that, you know, that piece "democratizing the game" is sort of a buzzword. Is there a benefit to having this spread out across all the teams in the World Cup? You know, whether or not it's for the fans, is there a benefit to the teams?
Yeah, I think that's a really good point. And I do think, like, making analytical tools or data available to more teams is a good thing in general. But at the World Cup, you're limited by who was born in your country or nationalized, right, to play for your team. Or, you know, who your country colonized or has a military base in at some point. So you're limited, like, there's no scouting benefits to data in international soccer. Well, that's kind of the main benefit of data analysis in all sports is like figuring out who's actually good at the sport. So that doesn't apply as much here.
And so I think with the data for the games in particular, I think there's a very real question about how How actionable or useful any of that data will be because of one, what is the data exactly? Two, how able is anyone at any of these federations to quickly model this data in any real way connected to being predictive?
And then three, like the World Cup, as much as we hate to admit it, it's very small sample size in a incredibly random sport. So extracting signal from noise, I think with 2,000 data points would be very difficult as well.
Can you talk a little bit more about that? Because the football AI pro has sort of been framed as this like coach on the sidelines. It's going to be really helpful in real time. Is that going to be as helpful as maybe what, you know, what it's being framed as?
Yeah, I, I think, you know, coaches have a very interesting place in soccer where they're kind of viewed as these all powerful figures, but also soccer coaches have the least amount of power of any coach in any sport because the half starts and then it ends. You're allowed to make subs, but you will.
They can yell from the sidelines, Ryan, they can, you know.
Yes.
Show their displeasure with their faces.
Yes, and I, I feel bad for whatever wing player is playing on the same side of the field as his coach's bench. You know, it's always better to be on the other side where you just can act like you can't hear what he's saying. But I think like I have a hard time seeing how any kind of data in like, let's say a 30 minute span, right? It's the half's 45 minutes, something happens over 30 minutes. I have a really hard time envisioning how AI can, what is it going to tell a coach that would allow the coach to essentially change his team's formation? I guess that would be the main way that you could change up that a coach wouldn't already see. Or how would we know that that information is not just random chance by like the bounce of the ball
versus like a, a structural issue with the team? So if one attacker is dribbling past a defender like five different times and the AI is like weakness detected, I, I think a coach has already seen that. So yeah, I have a hard time seeing how there will be real actionable data, given just the structure of soccer in real time.
Are there any areas where these new technologies and AI is actually changing or being beneficial to the game?
Yeah, so I know I've probably sounded like a, you know, Luddite nihilistic, we don't, none of this matters person. But I actually do believe that like data can be used to make better decisions in soccer. I do, but I think, so the one thing that you've seen change, so soccer is just a very dynamic sport, right? There's barely any rules, 22 players. If teams wanted to, they could agree to stare at the ball for 45 minutes and no one could do anything to stop it. The fans would be booing and the ref would be like, I can't do anything, sorry. They're just standing around.
But there is an aspect of the sport, uh, corner kicks, throw-ins, set pieces, that does sort of, uh, start to resemble American sports a lot more, mainly because the game comes to a halt. The players can discuss what they're going to do and the coach, if he wants to, he can draw up a pre-designed play, right? You have a corner kick, you can tell the players where they're supposed to run, who's going to set a pick. And sort of data analysis over time has found that this is a very under-exploited area. Some teams have been very good at it without getting worse at other areas of the game. If you look at Liverpool, who's kind of one of the more sort of smarter teams in the Premier League, they collaborated with, uh, Google Deep Mind and there's, they created this app
where you can kind of show where your players are on the field for a corner kick versus the defense. And then the AI-based app will be like, no, actually the positioning of the players, this would lead to a goal slightly more often. So I think that is like the one area, cause it's such an isolated part of the game, that is prone for AI to potentially add even more value. But what's happened, both then for good and ill, I would say. So set piece scoring, corner kicks, throw-ins, it's at a higher rate than it's ever been since we've been recording this data. But then open play goal scoring is at a lower rate than it's ever been. Because if you're lining up a corner kick and being very specific about the details and where you want the ball to go, it takes a lot of time to figure that out and the clock doesn't stop.
So in the Premier League this season, the ball is in play less than it's ever been since they've been recording the data. So like. The part of soccer that people tend to fall in love with, which is not set plays, it's kind of the creative, on-the-fly thinking, there's less of that than ever before.
At what point does the AI and all of the analytics and all of the ability to, in all of these sports where we're seeing analytics play such a big role these days, wind up tipping the balance away from a fan experience?
Yeah, I think if fans are gonna be able to see an offside decision within the margin of one centimeter being correct, they're not gonna care if, you know, all the other aspects of soccer are gone. I'm just kidding. But I think that's a great question, but it's something that's happened in a lot of the other major sports. Baseball is run by all people that went to Ivy League schools. The data analysis is way beyond anything you would see in public. And they realize that it made the sport worse because it was all home runs and strikeouts. The ball was never in play. So there is a definite, like, it's the league's and governing body's responsibility to make sure the sport is fun, and it's the team's responsibility to try to find out how to win. And you have to try
to figure out a way to make those things balance. Before the age of data analysis, this wasn't as much of an issue, I don't think. Now it is. Soccer, like, is way behind all the other sports in terms of like how objective analysis is being employed, but the set pieces did catch on. And it was enough of a story in the Premier League, and the team that won the league, Arsenal, set the record for corner kick goals in a season. They played a very conservative style. It became enough of a story that I think it's like a very real thing that people are aware of. But I think, you know, given that it happened in the Premier League, if it happens at the World Cup, I think it could become an even bigger story, and then it could kind of be a thing that the soccer world will
be unable to ignore, and we'll have to make some kind of changes to prevent this from continuing.
Well, speaking of the beauty of the sport, you just wrote a very detailed article where you predicted the winner of the World Cup and the winner of like almost every single game, and by how much? And you did it all by hand. Why?
You should ask my editors.
No, I'm kidding. I think I did it. I've done it the past couple of World Cups. Part of me kind of wanted to do it as a little bit of a bit because now anyone can simulate the World Cup and be like, I simulated the World Cup using AI 100,000 times. Here's what it said. I think in soccer, we just, or the World Cup, we just underestimate how random it is and how often like one of the teams that we thought was a favorite loses early on. But if you go game by game and you predict everything, you kind of end up with all of the favorites advancing. So I had to like, get it in my head, like, I don't want this to try to have the maximum expected value for someone betting on the World Cup, but I wanted it to try to like, match up to sort of what we normally see,
the number of favorites that tend to lose in the World Cup. When I did that, you know, I kind of saw, it's interesting, Spain and Argentina, if they win their groups, it seems like they're not going to play any of the best teams until the semifinals. So whether or not I think Spain and Argentina are the two most talented or the two most quote unquote informed teams, it seems like they might actually have like relatively easy paths to get far in the World Cup. So it did reveal that bit of information to me.
And just so that we can know who to yell at, in the end, who did you pick as the winner? You've got to tell everyone.
Yeah, I picked Spain over Argentina.
Okay. Well, where should we send the hate mail?
[email protected].
Ryan O'Handlon is a staff writer at ESPN and the author of Net Gains: Inside the Beautiful Games Analytics Revolution. Ryan, what a pleasure to talk with you. Thanks.
Thanks so much.
Coming up after halftime, inside the mission to grow the perfect turf for the World Cup.
And from the Alfred P. Sloan Foundation, working to enhance public understanding of science, technology, and economics in the modern world.
Over the next few weeks, more than 100 matches will be played in 16 different stadiums across North America. The stadiums are in different climates, at different elevations. Some are outdoors, some are indoors, but they all need to have one thing in common: perfectly uniform grass. It's been a project years in the making, and my next guest has been at the center of it. Dr. Jackie Lynn Givara is a turf grass management expert at Michigan State University. Jack, welcome to Science Friday.
Hi, Jane. I'm glad to be here.
I'm really glad to talk with you. Are you a soccer fan in addition to your turf grass expertise?
Well, I'm not a diehard fan. A lot of people will say, oh, he's not really into soccer. But I'm the person that gets so distracted. Whenever there is a game, I'll look at the cover, the density of the grass, is the lighting, is the sun is shining the right way on the grass, are the players trying to avoid a certain part of the field? So those are the things that kind of like my head is just running a mile a minute.
So let's get into it, and maybe you can explain why you actually need such, not only perfect grass, but perfectly uniform grass throughout all of these stadiums. How does that actually, how does the grass affect the game?
So that's a great question. Because for FIFA, just imagine this, the Holy Grail, this is everyone looks at the grass. Having the right aesthetic is very important, no matter what the grass is. And then the second is every player, and there are multi-million, multi-billion dollar players that will play on it. So we need to give them the same feel for different grasses. Think about golf. Golf is also a natural grass. We pay attention a lot on a putting green. And one thing that is really common between soccer and golf is how much the ball is in contact with that grass all throughout. So that's why FIFA
is really paying much attention in the grass is just having that ball roll, having that consistency, the bounce is similar to a putting green when you're doing your pot. It's like, oh, we need to be really consistent and that have like a good roll in it. Yes.
You can do that? You can make it feel the same for all the players?
Yeah, so we try. That's the research as we try to do that as much as we can. So FIFA has this FIFA specification. They have FIFA standards. First is the grass should be natural and not a lot of people are aware of that. So having a natural grass is very important. And then what we did was just make a recipe or guidelines for different sod farmers and field managers in, you know, in the North America, across North America. So what we do is we tested like different kind of grasses, different mixtures, and see if at the end they will have the same parameters. For example, surface hardness or how much traction should be on the grass.
So University of Tennessee, they created what we call like a flex machine. So basically it's a machine with a 3D printed foot in it. It has a lot of sensors. You can use different cleats on it. And then from there, it can make like a divot on the surface and it will give us different parameters like surface traction, displacement. So we have the same consistent data all throughout.
You mentioned there are different grasses for different climates, but how do you decide what grass to use?
So that's a great question. So how do I, how do we decide which grass to use? So there are different aspects of this. If it's outdoors and if it's in a cool season area, we use Kentucky bluegrass and perandra ragus mix. And that recipe I'm really proud of because that's my PhD dissertation.
And but for outdoor, warm season, we're using Bermuda grass. So those are the grasses. But things might change when it's in an indoor. All indoor stadiums will have, will have cool season grass because of the reason I told you before, it uses less sunlight. So all indoor stadium will use that. But one thing that people didn't really realize, Mexico City. Because when you think Mexico City, is it hot or cold?
Yeah, hot, you think?
Hot, hot, you think?
Mexico City is really high.
Yeah, so yes, Mexico City, high. So it used to have a different grass before. And we did like an extension, University of Tennessee and Michigan State, that we need to kind of like guy, uh, provide like proof that we can put like a cool season grass in Mexico City. So it's also consistent with other stadiums. Because it used a grass called Kikuya grass. And they think it's a warm season grass, but it is endemic to like a mountainous area in Africa. That's what they were using. They weren't using Bermuda grass because Bermudas couldn't survive because it's a warm season grass. And then they, they didn't really think about, maybe we can use like a cool season grass, Kentucky bluegrass and prairie rag grass.
So we went down there three years ago in 2023. We grew the sod, like a test sod for them. They tested it in the stadium. So now, when you're seeing, what's, what you'll see during the opening event is that new grass, Kentucky bluegrass, prairie rag grass mix.
That is so cool. And is that, are they playing, they're playing at the Estadio Azteca, right? Up in?
Yeah.
Yeah, I've been to that stadium, it's amazing.
It is amazing, seeing the stars when I was there. I was like starstruck by the whole thing of it. I was just looking at the grass, looking at the stadium, it's a lot of, yeah, I know, yes.
Depending on where you sit in that stadium, you might have to have binoculars just to see the players too. It is an enormous stadium, it is so cool there.
It is.
How will you actually know if you and the other, um, team members and all of the sod farmers have done your jobs well?
Our, uh, this is like our joke in our lab is if we don't hear anything from anyone about the turf, that's a good news, yes. Because when you hear it, you know something went wrong. But now it's just in the background, people were having fun, players are playing hard, and we're happy with that.
Dr. Jackie Lynn Givara is an assistant professor in turf grass management at Michigan State University. Jack, thank you for joining me. I now, too, am going to watch the games and just pay attention to the grass.
Thank you.
This episode was produced by Rasha Aridi, and a happy World Cup to you all. I'm Jane Lindholm. Catch you next time.
Page updated October 30, 2026 · transcript and summary are machine-generated