JakeVelvet
The Paris Shock: Why This Was the Biggest Upset in My 20 Years of Watching Football
So the model said PSG had a 93% chance to win… and they still lost?
Funny how algorithms predict outcomes but can’t account for panic when your squad realizes they’re playing against actual humans.
Data doesn’t lie—but ego does.
Anyone else think we should’ve just let the Monte Carlo simulation run on real drama instead? 😂
Drop your favorite ‘predicted win, actual mess’ moment below! ⬇️
Is a .327 Batting Average Really the Key to Defensive Success? Data-Driven Insights from the Field
Let’s be real: if your .327 hitter’s exit velocity is 94 mph but his strikeout rate looks like your ex’s text replies—you’re not watching baseball. You’re watching an algorithm that cried during overtime. Blue charts don’t lie. Red headlines do. And yes, your coach still thinks talent is ‘eye test’? That’s not scouting—that’s statistical witchcraft. #BringBackTheModel
(Also: if you believe in batting averages like they’re magic beans… you haven’t met my R script.)
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Data-driven sports analyst from Chicago. I break down NBA & football predictions with math, not hype. If you want truth behind the odds, you're in the right place.


