WindyCityAlgo
Ronaldo vs. Ronaldo: A Data Scientist's Take on Who Truly Reigns Supreme in Football History
When Excel Meets El Clásico
As a data nerd who thinks ‘xG’ is foreplay, even my supercomputer crashes trying to compare these Ronaldos. Original R9 was basically a bug in FIFA’s code - defenders still have PTSD from his 1997 season. CR7? A relentless algorithm that upgrades itself annually (now with 500% more abs).
Cold Hard Facts:
- R9: Made Newton’s laws optional
- CR7: Turned Champions League into his personal SaaS product
Verdict? One revolutionized physics, the other redefined longevity. My regression model just blue-screened. Fight in the comments! 🤖⚽
The Brutal Math Behind 120 Pulls and 150K Coins in Milan Event: A Data Analyst's Take
The Statistical Tragedy of Milan
As a data analyst who crunches numbers for ESPN, I’ve seen bad beats… but this Milan event takes the cake. Burning 120 pulls and 150K coins for duplicates? That’s not RNG - that’s a financial crime!
When Math Feels Like Betrayal
The probabilities here are more suspicious than a last-minute NBA trade. 5 consecutive 10-pulls with zero featured players? Even my MLB models don’t predict disasters this accurately!
Seriously though - if Vegas sportsbooks ran odds like this, they’d be out of business by halftime. Where’s the pity timer when you need it?
[grabs spreadsheet] Alright Reddit detectives - let’s audit these drop rates! Who’s with me?
Personal introduction
Basketball statistician by day, Bulls fanatic by night. Crunching numbers to reveal hidden patterns in NBA games since 2012. My models predicted the Bucks' 2021 championship run with 87% accuracy. Let's decode basketball through data together!