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A Realistic Roster Overhaul: Why the Lakers’ Trade Math Makes Sense (Even If It Feels Like a Gamble)
As a data scientist who’s modeled NBA rosters using Bayesian inference and reinforcement learning, I’m breaking down why this proposed Lakers trade framework isn’t just plausible—it’s mathematically sound. From salary-matching deals to expiration contracts and defensive synergy, we’re not chasing hype. We’re building a system. And sometimes, the most realistic moves look like chaos until you run the numbers.
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1 month ago