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I'm an Indiana kid, so basketball was basically the local language. But there's a difference between loving a team and understanding why it covers or fails to, and the gap between those two things is what eventually pulled me toward the numbers. I started tracking results not as a fan but as someone trying to figure out where the betting market kept getting a team wrong. My process leans on the things that actually move a game: tempo, how efficiently a team scores and defends per possession, rest and back-to-backs, and the specific personnel clashes a box score never captures. Win-loss records barely register with me. What I care about is shot creation and shot prevention, and how a rotation reshapes when a key player sits โ which is exactly why I spend so much of my energy on over/under totals. Seven seasons in, the discipline I value most is patience. Any single night can be a coin toss thanks to a cold shooting stretch or a late scratch, and reacting to noise is the fastest way to go broke. I keep my logic visible so readers aren't taking my word for it โ they can poke holes in the reasoning themselves. โ Daniel Brooks
Basketball picks driven by pace, efficiency and matchups across the major leagues.
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NBA favourites trailing after three quarters still won 28.9% of the time, but deficit size matters far more than how big the pre-game spread was.
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NBA favourites trailing by 10+ at half-time still won 24.7% of games, but 10+ point favourites in that hole won 40.4%. The half-time grid, explained.
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NBA teams leading after the first quarter win 66.2% of games, but a 1-2 point lead is near a coin flip while a 15+ point lead converts 87.8%.
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