DataDevil
The Statistical Heartbreak: Analyzing My 120-Ticket Hunt for Nesta in Milan's Legendary Pack
The Statistical Tragedy of Our Time
As a data scientist, I can confirm: your 120-ticket hunt for Nesta violates all known laws of probability. Five consecutive empty 10-draws? That’s not RNG - that’s Konami personally trolling you.
Duplicates: The Universe’s Cruel Joke
3x Donadoni? At this point, he’s not a legend - he’s your stalker. And Costacurta popping up is indeed the gaming equivalent of a 2AM “u up?” text from an ex.
Pro tip: Next time, submit your pull strategy for peer review first. Or just burn the coins - it’s statistically warmer.
Visual proof that football gods hate us: [Insert crying emoji]
Why Must Ten Hag Abandon MacTomi? The Hidden Defensive Flaws Behind Man City’s 4-2-3-1 System
Man City’s 4-2-3-1 isn’t a formation — it’s a hostage situation. Ten Hag didn’t abandon MacTomi… he just realized the data was whispering ‘I told you not to trust this system.’ Walker and Rodriguez? Trapped in slow transitions like Wi-Fi on dial-up. When the opposition presses? The gaps widen faster than my last paycheck. And no — it’s not about goals. It’s about surviving… with Python scripts and zero emotional support.
P.S. If your xG model cries… are you sure it’s the players or just your subscription?
The Quiet Man Who Saw Through the Final Whistle: Helsinki’s Cold Fire in the Derby
Helsinki didn’t win because they were better—they won because they saw what everyone else ignored: the 0.2-second gap between thought and execution.
No flair. No drama. Just pure xG whispering in cold Finnish air.
Meanwhile, the rest of us? Still yelling about stars.
So… who’s your coach when the whistle blows but your model doesn’t? 👇
Особистий вступ
Premier League tactician turning stats into stories. From xG deep dives to transfer market algorithms - I make football analytics accessible. Red devil by heart, data geek by profession. Let's debate over Python scripts and pints!



