Football analytics shouldn't be reserved for elite clubs.
Every Premier League club has analysts turning thousands of data points into tactical decisions.
Most fans? We rely on opinions.
That gap is why I'm building Tactica. 🧵
Preseason FPL take incoming:
Ignore most of what you see in friendlies.
A striker scoring twice against a League Two side tells you almost nothing about his GW1 nailedness. Here's what actually matters before kickoff 🧵
Practical filter for your opening squad:
Before locking a player in, ask:
1. Are they guaranteed minutes in this system?
2. Do they have a route to explosive returns (pens/set-pieces/high shot volume)?
3. Are their first 5 fixtures actually good?
@FFH_HQ I'd be tempted to turn Palmer into Saka or Mbeumo for the opening weeks. Chelsea's first five aren't kind, even if the extra rest could help them hit the ground running. Palmer is an easy buyback once the fixtures improve.
@ESPNFC Club football gives you months to coach ideas.
International football gives you days.
It'll be fascinating to see how Zidane adapts his philosophy to that environment.
@WhoScored A player profile isn't a verdict; it's a snapshot.
Amass already has the technical traits to build on. The interesting part is how those weaker areas evolve over the next few seasons.
@WhoScored His biggest attribute might not even show up on a stat sheet consistently.
Decision-making.
Knowing when to press, when to recycle possession and when to attack space is what makes him such a complete midfielder.
@17z_ai Exactly. That's one of the gaps I'm hoping to help close.
Elite clubs can afford dedicated analysts and tracking systems. Below that, teams often have to work with limited footage and incomplete data.
Better tools should be accessible at every level.
Football analytics shouldn't be reserved for elite clubs.
Every Premier League club has analysts turning thousands of data points into tactical decisions.
Most fans? We rely on opinions.
That gap is why I'm building Tactica. 🧵
This is exactly yesterday's point applied to a stat: outcome and decision quality aren't the same thing.
xG is one of the tools that lets you tell them apart.
Full thread on that 👉 https://t.co/MNwi48rSsC
Why it matters: xG separates the QUALITY of chances created from the RESULT of those chances.
A team can create three 0.7 xG chances and miss all three. That's bad luck, not bad football.
A team can score from one 0.03 xG shot; great finish, not necessarily a good process.
@goal Madrid and PSG make sense financially.
But stylistically? Rodri feels like a Barça midfielder through and through. Possession, tempo control, positional discipline... it's hard not to picture him there
@433 Interesting move if it happens.
The biggest question isn't whether Dovbyk can score in Serie A. It's whether the team's system creates the same type of chances he thrives on.
@FPLMate Interesting list. 👏
We ran the same £4.0m defenders through Tactica, but our engine ranks Value Score instead of projected points alone:
(Points/Game × Fixture Rating) ÷ Price
Different methodology, different perspectives. 📊
Full piece here: https://t.co/MNwi48rSsC
Genuine question for the TL: What's a football decision you think got unfairly judged just because the outcome went wrong?
A manager rests his best striker. Gets destroyed for it. Three months later that decision wins the league.
Was it a good decision or a bad one? Most people can't actually answer that because they're grading the outcome, not the reasoning.
🧵
This is why elite clubs quietly spend millions on analytics departments most fans never hear about.
Not because data guarantees the right outcome. Nothing does in a 90-minute match.
It's because it improves the quality of the decision,
independent of any single result.