Tiago Monteiro

⚽️ Data Scientist @FCPorto
🎓 MSc. Data Analytics @FEP

[Tiago Monteiro @TiagoMon1107]

Massive shoutout to the continuous work from the FIFA Training Centre.

🔗 Hub: https://t.co/QuBhrNDID1
📄 MEX v RSA Report: https://t.co/0v21XE3cRf

#FootballAnalytics #SportsData #FIFA #OpenData

[SkillCorner @SkillCorner]

👉 Open Data: Digging into Dynamic Events

In the previous entries in our Open Data Series, we have used aggregated metrics to chart player attributes, compare players and build archetypes.

This time around we explore our rich event-level Game Intelligence data through the lens of Off-Ball Runs.

🔎Learn how to filter down to a subset of runs and visualise them on a pitch
https://t.co/lggjVYj4kE

[Yureed Elahi @yureedelahi]

This is an incredible app. As always, Gradient keeps coming up with insane stuff.

[📈 #WinstanleyOUT #StewartOUT #ShieldsOUT @B03GHB4L1]

ClipMaker v1.2

The game is in your hands.

https://t.co/kq25QEMgDL

[SkillCorner @SkillCorner]

👉 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗴𝗼 𝗯𝗲𝘆𝗼𝗻𝗱 𝘀𝗶𝗻𝗴𝗹𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗮𝗻𝗱 𝗰𝗿𝗲𝗮𝘁𝗲 𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗲 𝗽𝗹𝗮𝘆𝗲𝗿 𝗽𝗿𝗼𝗳𝗶𝗹𝗲𝘀?

In our second installment of the SkillCorner Open Data Series, we dive into the world of composite player profiling. After exploring how to visualize physical data in our first article, it's time to answer broader scouting questions like, “𝘞𝘩𝘰 𝘢𝘳𝘦 𝘵𝘩𝘦 𝘮𝘰𝘴𝘵 𝘦𝘹𝘱𝘭𝘰𝘴𝘪𝘷𝘦 𝘱𝘭𝘢𝘺𝘦𝘳𝘴 𝘰𝘷𝘦𝘳𝘢𝘭𝘭?” or “𝘞𝘩𝘪𝘤𝘩 𝘱𝘭𝘢𝘺𝘦𝘳𝘴 𝘤𝘰𝘮𝘣𝘪𝘯𝘦 𝘸𝘰𝘳𝘬 𝘳𝘢𝘵𝘦 𝘢𝘯𝘥 𝘪𝘯𝘵𝘦𝘯𝘴𝘪𝘵𝘺 𝘦𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦𝘭𝘺?”

To do this, we introduce z-scores, a statistical tool that helps standardize different metrics and combine them into one comparable score.

🔍 Get started here: https://t.co/bPYJVjCavJ

[Training Ground Guru @ground_guru]

“The job has changed. It’s no longer about coding games and generating data reports — that’s increasingly automated.

“The value now is in interpretation and communication. If you can’t translate insight into something a coach can use in 30 seconds, it doesn’t matter how good the analysis is.”

Craig Nosworthy, First Team Football Analysis Lead @ManCity

https://t.co/b7MvzmGrKg

[Training Ground Guru @ground_guru]

US Soccer Sporting Director Matt Crocker remembers Neil Bath's one third rule when it came to staff recruitment @ChelseaFC

1⃣/3⃣ ex-Chelsea or promoted from within the system.

1⃣/3⃣ from other elite football clubs.

1⃣/3⃣ from other sports or businesses

@chelseayouth

For full podcast, click the link

🔗https://t.co/2Ne1uTFy5u

[CIES Football Obs @CIES_Football]

The new Polish star ❓ Just arrived at #FCPorto from #Jagiellonia 1⃣7⃣ year-old #OskarPietuszewski 🇵🇱immediately made its mark pointing to an extraordinary career 🆙 Full analysis in 14th @CIES_Football Prospect Sheet 📄 with @impect_official 👉 https://t.co/CVY9zpGm9b

[Andrej Karpathy @karpathy]

Software horror: litellm PyPI supply chain attack.

Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords.

LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm.

Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks.

Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages.

Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

[Training Ground Guru @ground_guru]

We got some excellent questions from our Premium Members for Matt Crocker, Sporting Director of @ussoccer, on latest Episode of TGG Pod.

First one from @TiagoMon1107, Data Scientist @FCPorto, on using data to combat lack of contact time...

🔗https://t.co/imYmRjd1BH

[Tiago Monteiro @TiagoMon1107]

Match Report | Champions League 18.03.2026
Tottenham 3–2 Atlético Madrid

(Atlético win 7–5 on aggregate)
#TOTATL #UCL #Spurs #Atleti #ChampionsLeague

[SkillCorner @SkillCorner]

Want to get started in football analytics?

Our SkillCorner Open Data series gives you hands-on experience with the same data driving decisions at professional teams.

In the first entry, we show you how to manipulate & visualise aggregated physical data 👇

https://t.co/S7kM24bAlA

[Tiago Monteiro @TiagoMon1107]

Match Report | Europa League 12.03.2026
VfB Stuttgart 1–2 FC Porto

#STUPOR #UEL #FCPorto #VfB #EuropaLeague 🇪🇺

[Tiago Monteiro @TiagoMon1107]

Match Report | Champions League 10.03.2026
Atlético Madrid 5–2 Tottenham

What Tudor did to Kinsky is unacceptable. He has lost all confidence in the dressing room. What happened today was absolutely lamentable...

#ATLTOT #UCL #Atleti #Spurs #ChampionsLeague

[Tiago Monteiro @TiagoMon1107]

@BeGriffis Incredible work you have done!!

[Tiago Monteiro @TiagoMon1107]

Match Report | Serie A 06.03.2026
Napoli 2–1 Torino

#NAPTOR #SerieA #ForzaNapoli #TorinoFC

[Tiago Monteiro @TiagoMon1107]

Match Report | Liga Portugal 06.03.2026
Famalicão 1–0 Arouca

#FAMFCA #LigaPortugal #Famalicao #FCArouca