As Arne Slot settles into his role as Liverpool’s head coach, there is an exciting array of fresh ideas from his new backroom staff.

The novel training methods of assistant coaches, Sipke Hulshoff and John Heitinga. The vibrant voice of lead physical performance coach, Ruben Peeters. The creative coaching drills of head of goalkeeper coaching, Fabian Otte.

Off the pitch, Liverpool have been developing a coaching assistant who could help their set-piece approach for the coming season… and it’s not even human.

Liverpool’s analytics department is renowned for its pioneering work, led by director of research William Spearman who took over from Ian Graham in 2023. In their most recent venture, they have teamed up with Google DeepMind, using artificial intelligence (AI) to determine strategies for corner kicks.

The collaboration has culminated in a paper published in Nature Communications — TacticAI: an AI assistant for football tactics. The project, led by researchers Zhe Wang and Petar Velickovic, used data from 9,693 corner kicks collected from the 2020–21, 2021–22, and 2022–23 (up to January 2023) Premier League seasons, feeding information on each player’s height, weight, starting location, and movement throughout the corner routine.

The information from each player enabled the researchers to predict the outcomes most likely to occur within a given corner setup. For example, which player is likely to receive the ball? Will the sequence lead to a shot attempt?

Once the sequence has been played, the analysis can then build a picture to determine whether similar routines have been successful in the past. Crucially, TacticAI can draw from this analysis to generate suggestions that improve the outcome of the corner. For example, moving players’ positioning or body orientation to reduce the chances of conceding a shot from a specific corner.

The graphic below shows four suggestions made by TacticAI to tweak players’ positioning when defending a corner.

As evidence of the model’s capability, experts at Liverpool — including assistant coaches, video analysts and data scientists — were unable to distinguish between the output provided by TacticAI’s suggestions and real-life corner routines, with the suggested routines favoured from the original corner sequence 90 per cent of the time — highlighting how effective the model can be in providing improvements within the tactical structure.

As you can see in the graphic above, the advised tweaks might appear subtle but joint-lead researcher Velickovic emphasises these suggestions are in-keeping with modern-day football. Small changes in distances, timing, and decision-making can be the difference between victory and defeat.

“The aim is not to tell you that a player needs to move two or three metres to the left or the right,” Velickovic told The Athletic. “You make minor adjustments to a player’s location, orientation or velocity which are all relatively small, and that was deliberate.”

A core aim of Liverpool’s project with Google DeepMind is to provide coaches and analysts with a tool to help them with workflow. Opposition analysts often watch hundreds of videos in the lead-up to a game, which is labour-intensive. The ability of TacticAI to sift through similar opponent routines and curate defensive strategies is powerful.

It is more time-efficient to draw conclusions in a fraction of the time and this work provides an objective tactical approach without bias, underpinned by thousands of examples.

“This tool is designed to accelerate a coach’s ability to spot patterns,” Velickovic said. “Coaches are looking at complex situations with 22 players, and they have to work out what the key parts are that made or broke a particular strategy — and which players were responsible.”

“With a system like this — where it immediately produces adjustments to all of the defensive players — you can focus your attention and immediately spot that, for example, a specific defender is doing something wrong.”

“If this happens to your defender over many situations, you can then try to fix it in your coaching. If it is an opposing player, you can work on strategies to exploit that weakness.”

Trent Alexander-Arnold takes a corner against Atalanta last season (Jonathan Moscrop/Getty Images)

It is worth noting this research evaluates the potential use of such an approach, and is yet to be rolled out in Liverpool’s matchday analysis. Nevertheless, the rise of dedicated set-piece coaches shows how many clubs are growing wise to this important part of the game — with 28 per cent of all goals scored from dead-ball situations in the Premier League last season.

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For Velickovic, the marginal impact this work can have could prove crucial.

“We can never exactly forecast what will happen in a corner,” Velickovic said. “But  if you increase your chances of scoring or decrease the chances of conceding by even one per cent, that can make a huge difference over the course of a season.”

Corners have been responsible for some of the most important moments in Liverpool’s recent history. Jurgen Klopp’s final trophy as manager was thanks to a Virgil van Dijk header from Kostas Tsimikas’ corner to clinch the Carabao Cup against Chelsea in February.

The unlikely figure of Alisson Becker scored an iconic last-minute header to convert Trent Alexander-Arnold’s corner against West Bromwich Albion in 2021 to keep Liverpool’s top-four hopes alive.

And Liverpool fans do not need a second invitation to relive Alexander-Arnold’s quickly-taken corner to Divock Origi in the 2019 Champions League semi-final against Barcelona — one of the most memorable goals in the club’s history.

“Corner taken quickly… ORIGIIII!!!!” 😱😍

Does Divock delivering in our incredible comeback against Barcelona get your vote for our greatest ever goal?

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— Liverpool FC (@LFC) June 22, 2022

Ultimately, the delivery Alexander-Arnold provides from set pieces is the crucial component to ensure a choreographed routine is executed. As set-piece specialist Gianni Vio has previously told The Athletic, “The taker is the most important player in set pieces.”

The statistical models can be instructive for coaches, but without strong delivery, the sequence collapses.

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Looking at last season, the numbers suggest Liverpool could improve their conversion from corners when assessed against the rest of the Premier League. Their 4.2 goals per 100 corners was their poorest rate since 2018-19, with their overall goals scored and conceded per 100 corners almost perfectly aligned with the league average.

This project was the final milestone in Liverpool’s multi-year journey with Google DeepMind, but the collaboration shows an ongoing desire to push boundaries and find an edge when using analytics in football. It is a partnership that traces back to 2021, where their work has seen them publish two other papers relating to AI in football tactics and its use in analysing penalty kicks.

The constant evolution of football tactics means that the analysis of corner kicks is a dynamic process that should be continually updated. An optimal strategy in 2015 might look different today. The best for the German Bundesliga could be different from the Premier League.

The potential for this AI model to grow across multiple seasons and wider leagues is where analysts can create an extra dimension in their tactical approach and strategic decision-making.

At its core, AI is the ability of a computer to perform tasks that we typically associate with humans. The growth of AI — specifically, Generative AI via platforms such as ChatGPT, Claude, and Google Gemini — has been visible across multiple industries worldwide.

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While these platforms are fantastic resources for coaches and analysts to use as tools, they should never replace human expertise. Data’s place in football is secured, but the combination of objective and subjective analysis is where staff can optimise their in-game decision-making. We are not entering a world where football is played by machines.

For now, at least.

(Top photo: Playmaker/MB Media/Getty Images)

FIU football is going international. On Tuesday, the university announced it is naming its football field Pitbull Stadium. 

The 43-year-old music star will pay the university $1.2 million per year for five years for the naming rights to the stadium, ESPN reported.

Pitbull will create an anthem for the school, post about FIU on social media 12 times a year, and appear at one athletics fundraising event per year, according to ESPN, citing the terms of the agreement.

The Miami native will also get to use the stadium 10 days per year throughout the term of the agreement. The vodka brand the singer owns will be the preferred brand distributed in the stadium.

Pitbull, whose real name is Armando Perez, will reportedly get two reserved suites for all home football games. 

The stadium opened in 1995 and has a seating capacity of 20,000. It was known as FIU Community Stadium from 1995 to 2001. Ocean Bank was the first company to purchase FIU’s naming rights. From 2001 to 2017, it was known as Ocean Bank Field at FIU Stadium.

LEGENDARY COLLEGE FOOTBALL COACH MAKES DEION SANDERS COACHING PREDICTION

Roary the Panther, mascot of the FIU Golden Panthers, leads members of the team on to the field prior to their game against the Arkansas State Red Wolves during the Camellia Bowl at the Crampton Bowl on Dec. 21, 2019, in Montgomery, Alabama. (Michael Chang/Getty Images)

From 2017 to 2022, it was known as Ricardo Silva Stadium. Over the last two years, it was known as FIU Stadium as the school was looking for a new sponsor.

In the deal, there reportedly is an option for Pitbull to renew the agreement for five more years. 

The Panthers are coming off consecutive 4-8 seasons under head coach Mike MacIntrye and have not had a winning season since 2018.

Pitbull performs during the WNBA All Star Game on July 20, 2024, in Phoenix. (Barry Gossage/NBAE via Getty Images)

The school started playing college football in 2002 and has been a part of the FBS since 2004. 

FIU will host Central Michigan on Sept. 7 for the first game in Pitbull Stadium. 

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On physical skills alone, 6-foot-3, 195-pound junior Luc Weaver of Sherman Oaks Notre Dame looks the part of a receiver capable of making a huge impact on the football field.

Blessed with big hands and improving speed, Weaver will be one of the favorite targets for outstanding senior quarterback Steele Pizzella. He caught six touchdown passes as a sophomore.

Coach Evan Yabu said Weaver has begun to understand the little things needed to take a bigger jump, such as improved blocking, better body language and being a leader.

Notre Dame has more speed with members of its successful 400-meter relay team, led by Pizzella, perhaps the fastest quarterback in the state.

The Knights have decided not to play another opponent in a scrimmage after suffering a big injury last season during a scrimmage and will open the season Aug. 23 at Downey.

Players got an early practice on Tuesday at 7 a.m. to beat the heat. Because several players were late, everyone had to do bear crawls. It was not a pretty sight, especially backward bear crawls.

But Pizzella said, “It wakes us up, though.”

Hawaii trip for Sierra Canyon

Sierra Canyon is opening its season next Friday with a trip to Hawaii to play Punahou. The Trailblazers are scheduled to hold a Tuesday practice at 6 a.m., then take buses to LAX for a 1 p.m. flight. Their game is at 3 p.m. on Aug. 16. Then they will board a plane home.

The Trailblazers might have the toughest schedule of any team, with games against JSerra, Oaks Christian, St. John Bosco, Orange Lutheran and Gardena Serra, all top 25 teams.