I scan charts for repeating motifs—trend lines, volume spikes, order book depth—and map them onto probability grids. If a pattern has held, say, 70% of the time, I treat it like a pawn move that’s almost forced. For clutch gaming, the same logic applies: the opponent’s behavior often repeats; by spotting that rhythm early you can anticipate their next shot. It’s all about turning chaos into a calculable board state.

Right, staying flexible is key. I constantly re‑evaluate the data, prune out noise, and keep my model updated. That way I stay on the high‑level view while still exploiting every micro‑edge.