Sports betting analytics that actually predict winning

There is no shortage of sports betting analytics — power ratings, efficiency numbers, injury-adjusted lines, situational splits. The problem is that raw analytics do not tell you what to bet; they tell you about the game. The jump from "interesting number" to "profitable bet" only happens when you price the game against the market and act on the disagreement. Closeline is built around that jump: it consumes analytics as inputs and outputs graded, tracked +EV bets.

The analytics that survive contact with reality are the ones tied to money, not to narrative. Expected value tells you whether a bet is worth making. Closing-line value tells you whether your prices are genuinely sharp or just lucky. Units and ROI tell you whether the whole operation is actually profitable, net of the losses. Everything else is supporting cast. If a stat cannot be connected to one of those four outcomes, it is trivia — fun to know, useless to bet on.

This page walks through the analytics we treat as load-bearing and how they roll up into the public track record. The aim is to make the numbers legible: not a wall of stats, but a short list of metrics you can actually use to judge whether a betting operation — ours or anyone's — is winning.