New data analyst

Assessing whether a data analyst’s "models worked" is tricky because, unlike a striker’s goals, the results are often hidden in the spreadsheet. However, looking at Reading FC’s performance and internal shifts during Sean Richardson’s tenure (Sept 2025 – April 2026), there are strong indicators that his work was highly effective.
Here is the breakdown of the "Richardson Effect" at Reading:

1. The "Small Squad" Theory
One of Richardson’s most specific models focused on squad architecture. He crunched the numbers to prove that in League One, clubs with smaller, more consistent squads actually achieved higher points-per-game than those who rotated heavily.
The Result: Reading moved toward a leaner squad during the winter window. By January 2026, they had the second-best points-per-game in the league (2.0) since the appointment of manager Leam Richardson.

2. Recruitment Efficiency on a Budget
Richardson worked under the "Reading Model"—a strategy designed to find value despite the club's recent financial recovery.
The Result: He specifically analyzed the "spread of goals." His data suggested that relying on a single "super striker" was a high-risk strategy. Instead, he modeled a recruitment plan for "secondary scorers."
Outcome: Reading saw significant contributions from across the pitch, with captain Lewis Wing and Jack Marriott both hitting peak numbers simultaneously, validating the "diversified threat" model.

3. The "Festive Period" Peak
Data analysts are often judged on their "load management" models—predicting when players need rest to avoid the "red zone" of injury.
The Result: Over the 2025/26 festive period, Reading picked up 13 out of a possible 15 points, the highest in the Football League. This suggests that the physical and tactical "peaking" models Richardson was involved with were working perfectly when the schedule was most grueling.

4. Validation from Leadership
The strongest evidence that his models worked is the "Stuart Fenton Factor." Fenton, Reading’s Head of AI, is a pioneer in the field. The fact that Richardson was his "right-hand man" in building the "Reading Model" (an AI-driven system for match analysis) speaks volumes.
The Verdict: Hibernian didn't just hire him for his potential; they hired him because Reading’s data department became the envy of the EFL in 2026. The "models" transitioned Reading from a club in financial and tactical chaos to one of the most statistically efficient teams in League One.

Seems like a decent appointment from the club. (Sorry for the spiel I canny seem to upload screenshots)
 
. The "Small Squad" Theory
One of Richardson’s most specific models focused on squad architecture. He crunched the numbers to prove that in League One, clubs with smaller, more consistent squads actually achieved higher points-per-game than those who rotated heavily.////

To an extent that held true for The Tornadoes
The problems arose after Brownlie got his leg break and a couple of suspensions to key players came in (Edwards a huge unwarranted ban for one )
John Hazel and Johnny Hamilton,both forwards,were the main "reserves" so to speak, and although we had like others, a reserve team at the time who played in Reserve League, the quailty there didn't yet match "the" Tornadoes .
Adding quality to the squad was a debate amongst fans.
Turnbull bought Joe Harper, which was fine.
Selling Jimmy O' to cater for Joe wasn't. That wasn't Joes fault .
I think by then Jock Stein had really got into Eddies head (he hated Jock) and Jock won hands down.
So yes small squads have proven some success
Remarkable when you think that tackles that get punished,with cards, these days,were the norm back then.
The Tornadoes certainly ate their Weetabix !!
 
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. The "Small Squad" Theory
One of Richardson’s most specific models focused on squad architecture. He crunched the numbers to prove that in League One, clubs with smaller, more consistent squads actually achieved higher points-per-game than those who rotated heavily.////

To an extent that held true for The Tornadoes
The problems arose after Brownlie got his leg break and a couple of suspensions to key players came in (Edwards a huge unwarranted ban for one )
John Hazel and Johnny Hamilton,both forwards,were the main "reserves" so to speak, and although we had like others, a reserve team at the time who played in Reserve League, the quailty there didn't yet match "the" Tornadoes .
Adding quality to the squad was a debate amongst fans.
Turnbull bought Joe Harper, which was fine.
Selling Jimmy O' to cater for Joe wasn't. That wasn't Joes fault .
I think by then Jock Stein had really got into Eddies head (he hated Jock) and Jock won hands down.
So yes small squads have proven some success
Remarkable when you think that tackles that get punished,with cards, these days,were the norm back then.
The Tornadoes certainly ate their Weetabix !!
Des Bremner came in when Brownlie was injured, he wasn't too bad. I think the legendary Tornadoes team we can all recite only played together 22 times. Reserves like Tony Higgins made their firstteam debuts before the classic XI came together and in my opinion along with Hazel, Hamilton, McArthur etc can be considered Tornadoes just as much as the first choice side, for two or three years they were all part of a side you went along to watch thinking I wonder how many we will win by this week.
 
. The "Small Squad" Theory
One of Richardson’s most specific models focused on squad architecture. He crunched the numbers to prove that in League One, clubs with smaller, more consistent squads actually achieved higher points-per-game than those who rotated heavily.////

To an extent that held true for The Tornadoes
The problems arose after Brownlie got his leg break and a couple of suspensions to key players came in (Edwards a huge unwarranted ban for one )
John Hazel and Johnny Hamilton,both forwards,were the main "reserves" so to speak, and although we had like others, a reserve team at the time who played in Reserve League, the quailty there didn't yet match "the" Tornadoes .
Adding quality to the squad was a debate amongst fans.
Turnbull bought Joe Harper, which was fine.
Selling Jimmy O' to cater for Joe wasn't. That wasn't Joes fault .
I think by then Jock Stein had really got into Eddies head (he hated Jock) and Jock won hands down.
So yes small squads have proven some success
Remarkable when you think that tackles that get punished,with cards, these days,were the norm back then.
The Tornadoes certainly ate their Weetabix !!
The way we've been recruiting of late by signing players who can play multiple positions this appointment makes perfect sense. I was always under the impression that we sold O'Rourke way too soon. I think turnbulls biggest downfall was breaking up that squad way too early, they certainly should have won more than they should but they were unlucky in the sense that they were up against arguably one of the best teams to ever play in Scotland in the Lisbon lions.
 
Ridiculous eh! Can only hope the next generational manager to replace Pep is completely anti data, and everyone copies that.
Aye hopefully but I doubt it, that man has completely ruined the beautiful game. If it wasn't for Hibs and Coupons I would have stopped watching football years ago!
 
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Interesting.
I'm entirely in favour of data analysis.
One problem with data analysis in football is that it's relatively new. This means most data analysts will be winging it to an extent.
Everyone in professional baseball now understands that the more obvious statistical traits Bill James used to identify under-appreciated players are/were... ehhh... "obvious" and that they ought to have been identified sooner and used before Billy Beane adopted them at Oakland. These had long been measured by widely published figures & stats - and completely ignored. See "Moneyball."
"Why do you like him?"
"Come on, guys, or do I have to point at Pete again?"
"He gets on base!"
Even in baseball, a lot of the Bill James theories and analyses that cannot be measured by a number in an officially recognised statistical category remain contentious.
Football doesn't have many concrete stats. Almost universal opinion is that it has very few others that can easily identify value.
The geeks behind Jamestown Analytics might dispute that, but nobody outside the Jamestown team has access to their methods.
The "small squad" theory makes sense on most levels. In football, as in everything else, being familiar with your surroundings and comfortable with them tends to lead to better performance than if you're operating in unfamiliar circumstances.
Aston Villa winning the English League with 14 players isn't going to be repeated. It was mainly 12: Deacey & Geddis had a handful of games; Williams & Gibson split the left-back spot; the other 10, including Des Bremner, played around 40 games each.
Sports science & nutrition can improve cardiovascular fitness and muscles, but it has no effectiveness on tendons, ligaments & cartilages, which are more likely to go "pop" when a bigger 2020s player turns more quickly than his smaller 1980s counterpart.
Getting someone who can do data analysis well could make a huge difference, but there's nobody qualified to confidently assess the merits of data analysts, so it's something of a pish in the dark.
 
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Interesting.
I'm entirely in favour of data analysis.
One problem with data analysis in football is that it's relatively new. This means most data analysts will be winging it to an extent.
Everyone in professional baseball now understands that the more obvious statistical traits Bill James used to identify under-appreciated players are/were... ehhh... "obvious" and that they ought to have been identified sooner and used before Billy Beane adopted them at Oakland. These had long been measured by widely published figures & stats - and completely ignored. See "Moneyball."
"Why do you like him?"
"Come on, guys, or do I have to point at Pete again?"
"He gets on base!"
Even in baseball, a lot of the Bill James theories and analyses that cannot be measured by a number in an officially recognised statistical category remain contentious.
Football doesn't have many concrete stats. Almost universal opinion is that it has very few others that can easily identify value.
The geeks behind Jamestown Analytics might dispute that, but nobody outside the Jamestown team has access to their methods.
The "small squad" theory makes sense on most levels. In football, as in everything else, being familiar with your surroundings and comfortable with them tends to lead to better performance than if you're operating in unfamiliar circumstances.
Aston Villa winning the English League with 14 players isn't going to be repeated. It was mainly 12: Deacey & Geddis had a handful of games; Williams & Gibson split the left-back spot; the other 10, including Des Bremner, played around 40 games each.
Sports science & nutrition can improve cardiovascular fitness and muscles, but it has no effectiveness on tendons, ligaments & cartilages, which are much likely to go "pop" when a bigger 2020s player turns more quickly than his smaller 1980s counterpart.
Getting someone who can do data analysis well could make a huge difference, but there's nobody qualified to confidently assess the merits of data analysts, so it's something of a pish in the dark.
Analytics to managers is like VAR to referees in my opinion. Managers are actually allowing these stats to dictate how they manage games just like referees are allowing VAR to referee the games for them. With Gray you see him making utterly bizarre substitutions in games and I think that's down to the computer/analytics telling him he needs to make subs because certain players are tiring instead of managing the game himself tactically, it's cost us quite a few points this season. I understand why it's there and why they use it but I think it's regressing our managers massively and they rely too much on it.
 
Analytics to managers is like VAR to referees in my opinion. Managers are actually allowing these stats to dictate how they manage games just like referees are allowing VAR to referee the games for them. With Gray you see him making utterly bizarre substitutions in games and I think that's down to the computer/analytics telling him he needs to make subs because certain players are tiring instead of managing the game himself tactically, it's cost us quite a few points this season. I understand why it's there and why they use it but I think it's regressing our managers massively and they rely too much on it.
That's what everyone in baseball said about Bill James, before Billy Beane and Oakland used his theories and won their division with the lowest budget in the league.
I'm not saying I'm a huge fan of data analysis, but there will almost certainly be things on the field that data analysis can be used to improve. See the Midtjylland "throw-in" guy (Grønemark?) poached by Klopp at Liverpool.

My main problem with the appointment of this guy is that we'll "Hibs it" with him - not in the Gunt sense, but in the far more traditional & correct sense that we'll f**k about with him and not use him properly, meaning he won't fulfil his potential.
"Envy of the EFL" is a fine phrase, but, let's be honest, anything that's genuinely the "Envy of the EFL" goes to a Premier League club. Even the Bigot Brothers don't get a sniff, never mind us.

"Moneyball" is a great film, but it takes liberties with the truth. There's a scene in it where Oakland General Manager (DoF but with more power) Billy Beane (Brad Pitt) has got frustrated with his team manager, coaches & scouts resisting the "Data Analysis" based approach, advocated by hired geek Peter Brand.
There's no transfer window in baseball. Beane arrives for work and immediately starts calling other managers to offload the players that "Data Analysis" doesn't like. In real life, this was done over a couple of months, in "Moneyball" he does it in one morning.
The principal player victim of this is Carlos Peña. Peña is a very promising kid, regarded as a future superstar, signed as replacement for Jason Giambi - a recent American League Most Valuable Player (Footballer of the Year equivalent) who was out of contract and f**ked off to the New York Yankees. Giambi & Peña played 1st Base.
The "Data Analysis" says that Scott Hatteberg, a former Catcher, who's been unable to get a contract anywhere as a Catcher because he can't throw hard after elbow surgery, is Oakland's best "in budget" option at 1st Base, even though he's never played there😳. Beane signs Hatteberg.
As General Manager (DoF) Billy Beane does not pick the team. The manager, Art Howe, picks the team and will not start Hatteberg in front of Peña.
Beane transfers Peña to Detroit.
The geek Peter Brand walks in while Beane is in the middle of this brainstorm. Brand is horrified and hesitant.
The conversation goes something like this:
Brand: "You can't do that. You can't trade Peña "
Beane: "Why not?"
Brand: "Peña's a future All Star. If this Hatteberg thing doesn't work out, this is, ehh, this is the kind of decision that could get you fired."
Beane: "On your figures, do we win more games with Hatteberg at 1st or with Peña?"
Brand: "It's close, but Hatteberg."
Beane: "Then what are we talking about? Why are we having this conversation? Do you believe in this thing or not?"
Brand: "I do."
Hatteberg goes in at 1st Base. Oakland win 20 consecutive games and win the division - as they did in real life.

This guy - Sean Richardson - has worked at Reading for 7 months😳.
No way on this planet is Sir David or Malky going to be swayed by Sean Richardson if he tells one if them to sign an equivalent of Scott Hatteberg from Tranent, Truro, Trondheim or Troy.
They may or may not find his figures & stats interesting but I doubt he has a First in Economics from Yale and I doubt they'd trust him much further than they'd trust me... Or Billy... Or Ryan.
 
We're already at that point imo

It's going to end up going full circle where people would rather pay a fiver to watch a lower division game with amateurs, no VAR and a proper atmosphere. The game is slowly turning to shit and decisions like the ones in the Aberdeen game are killing it for fans. I turned it off as soon as that card was yellow instead of red. Just fuck that.