“A corner. A roar goes up from the crowd. It puzzled Jose Mourinho when he first came to England how fans reacted to their team winning a corner kick ‘with the same applause as a goal’. Yet corners are a valuable weapon in an attacking team’s armoury. But should they be inswinging or outswinging? In the past 10 Premier League seasons, 3.4 per cent of corners resulted in a goal. So far this season, we are slightly above average at 4 per cent. In fact, last weekend, six teams in separate matches scored goals from a corner. Arsenal, Southampton, Newcastle, Watford, Brentford and West Ham all profited while Chelsea also won a penalty from a corner, which they converted. …”
The Athletic

“As the Premier League returns, there is a player at every club (well, apart from Crystal Palace apparently) that you feel should be getting more minutes on the pitch. He might have battled back from injury, struggled to make an impact since joining last summer, or be a teenager who is still developing but he might just be the difference — if only your manager takes a chance on him. The Athletic’s data analyst Tom Worville has produced squad profiles for each club to show the number and percentage of minutes played when set against the age of the player in question. You can expect to see most of the footballers our writers have chosen in the bottom left-hand corner — i.e. they’re young and have not had many minutes so far this season — but there are exceptions. Let us know whether you agree with the selection for your club in the comments section below… ”
The Athletic

“It has become an increasingly common sight in football broadcasting. In the 50th minute of Manchester City’s trip to Liverpool, an in-game graphic popped up on the screen to reveal which player had made the fewest touches in the game so far. At that point, Diogo Jota’s 17 were the fewest, with Liverpool’s front three all among the bottom five. The question to ask when seeing such statistics is — is that good or bad? When using data in football, one of the key duties of care is to ensure it is surrounded in context, to better understand why these statistics are useful in the game. So with this in mind, how many touches should a forward have in a game of football? And importantly, do such numbers matter when assessing a forward’s performance? …”
The Athletic

“The Premier League season has reached its conclusion but does the final table accurately reflect performance? Manchester City deservedly wrapped up the title, while many expected Fulham, Sheffield United and West Brom to be relegated as the campaign progressed. Elsewhere though, some teams have managed to accumulate more points than their showings suggested they would, while others have been left confused as to how they aren’t higher up in the standings. Using data from Infogol’s expected goals model, we look at four teams who found themselves in a ‘false’ position after 38 games. …”
Sporting Life (May 28, 2021)
The Athletic: Premier League top-four permutations: What form table, xG, odds and fixtures show (May 11, 2021)
W – Expected goals
Sporting Life: Premier League: Team by team xG analysis on the 2020/21 season (May 28, 2021)
Five Thirty Eight: Club Soccer Predictions (Sept. 8, 2021)
YouTube: Football’s New Stat – What is Expected Threat?, What is xG? | By The Numbers (Jan. 2018)

Liverpool – Most used so far: 4-3-3, Alternative pictured: 4-2-2-2
“The transfer window has closed and we’re left with a week of international football to wonder what money truly buys. So for kicks, let’s incorporate the new lads in alternative formations for the Premier League’s ‘Big Six’ and see what cleverness or calamity results… Because why not, right? …”
The Mastermindsite

“Our use of data and statistics has been ever-growing within the articles that we write at The Athletic, drawing upon different metrics to highlight strengths, weaknesses, or patterns observed in a certain team or player. Some of these analytics metrics will be very familiar to you by now, while others might need a little bit more explanation. Much like the NFL analytics glossary from The Athletic, this is our attempt at explaining some of the most common football metrics and how to use them. So let’s dive in… ”
The Athletic

“Raheem Sterling has scored 14 goals in the Premier League this season for Manchester City, putting him right in the thick of the competition’s Golden Boot race, along with the likes of Tottenham’s Harry Kane, Liverpool’s Mohamed Salah, and his teammate, Sergio Aguero. Of the 23-year-old Englishman’s haul, 13 have come inside the box, five of which were inside the 6-yard area. Five goals have come after the 80th minute of a match, helping Pep Guardiola’s side secure vital points on their journey to utter domination in his second season in England. And yet, there is a conundrum about Sterling’s reputation as a goal scorer: A popular opinion persists that he’s, well, just bad at shooting. …” The Ringer (Video)

Huddersfield Town’s Terence Kongolo, left, gets stuck in during the Terriers’ Third Round FA Cup match against Bolton Wanderers.
“… 10) A happy Monday for post-Hughes Stoke? Like the revolution, the first match of Stoke’s post-Mark Hughes era will be televised, as they travel to Manchester United on Monday night. At the time of writing, the identity of Hughes’ replacement is yet to be confirmed, but whoever is in charge for this match, it constitutes something of a free swing for a team in the relegation zone but far from doomed. Given the likelihood of a new manager bounce (or perhaps more pertinently, the old manager’s absence) and the fact Stoke are unbeaten in eight Monday night Premier League matches, it would not be a huge surprise to see the Potters emerge with a point. …” Guardian

“Back in November we applied a clustering algorithm to find out which Premier League clubs had similar attacking styles. We wanted to see what we could find using match summary stats that anyone with an internet connection could get hold of. Our main rule was that we wanted to avoid using pure outcome stats, e.g. shots on target, completed passes, completed crosses, goals, assists etc. We thought we’d run the risk of just clustering teams together on how good/lucky they’d been so far. We didn’t use anything too fancy, just per game stats based on the way teams attempt to attack; shots from outside the box, inside the box, open play, set pieces, short passes, long passes, dribbles, crosses and how much they use the wide areas when they attack. …” StatsBomb