How the engine works

The pipeline

Every game runs through the same pipeline. The Edge continuously pulls live odds, team form, pace, situational splits, betting splits, star-player status, injuries, and weather (where it matters) into one refreshed data layer. From that, a statistical model produces a baseline projection (built from a 50% starting point plus roughly two dozen weighted factors) before a language model adds qualitative context and returns a structured pick for each market. The result is saved and later graded against the actual outcome, which feeds back into calibration.

The five-anchor score projection

Rather than trusting a single view of a team, the engine projects each side’s score from five anchors and blends them:

Those projections generate a moneyline, spread, and total estimate, which the engine compares against the market line to compute the value on each side.

Different math for different sports

Score distributions vary by sport, so the totals model does too. Each league below is a link target, so the per-sport pages can point at the exact section that explains their model.

NBA

Basketball totals behave roughly normally, so NBA over/unders use a Normal-distribution model (Normal CDF), across moneyline, point spread and totals.

College basketball

NCAAB uses the same Normal CDF totals model as the NBA, tuned for the far wider range of tempos and talent across Division I.

NHL

Hockey scores in low-frequency events where variance tracks the mean, so NHL totals use a Poisson model (convolution), across moneyline, puck line and totals.

MLB

Baseball is the same low-frequency shape, so MLB totals also use Poisson convolution, across moneyline, run line and totals.

NFL

NFL runs moneyline, point spread and totals, with each market graded independently — a strong moneyline read never inflates the spread or total call.

College football

NCAAF runs the same three markets as the NFL, graded independently, with conference-strength context feeding the projection.

Soccer (EPL & MLS)

Goal totals use a Poisson model fed by each side’s attacking and defensive rates — the right shape for soccer’s low-frequency scoring. Markets are the three-way moneyline and over/under 2.5 goals.

PGA Tour golf

Golf is modelled at the player level instead: a strokes-gained model with course-fit adjustments produces outright win, top-finish and make-cut probabilities rather than moneyline/spread/total markets.

Calibrated confidence

Each pick includes a confidence number expressing the engine’s calibrated probability for that side. Confidence is graded independently across markets: a high-confidence moneyline read does not automatically raise confidence on the spread or total, because those are different bets with different math. The engine continuously tracks projections against outcomes and recalibrates, so over large enough samples a 65% confidence pick should perform roughly in line with that probability.

The PASS discipline

Many services push action on every game. The Edge doesn’t. When a projection does not clear a sport’s confidence threshold, the engine returns NO PICK, a PASS. A skipped game is the model saying the line looks fair and there’s no meaningful value to target. PASS calls are not counted as losses, because no wager was ever recommended. The same discipline applies to spot-specific traps: when statistical confidence is extremely high on a spread favorite, the engine demands stricter supporting evidence before backing it, because high-confidence favorites cover less often than bettors assume.

Edge detection & closing-line value

When the model’s disagreement with the market is large enough, the pick receives an EDGE tag: those are the spots where the line looks most inefficient, surfaced so they stand out from routine picks. The engine also captures closing-line value (CLV): the gap between the number it picked at and where the market ultimately closed. Consistent positive CLV is one of the strongest long-run signals that an approach is beating the market, independent of any single result.

FAQ