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Line Gap is organized around three layers: find opportunities, understand them, and track outcomes.

Find opportunities

Dashboard

The +EV scanner. Today’s props sorted by expected value, with sharp signals and cross-book badges inline.

Best Bets

Composite-scored picks. Combines EV with sample size, recent form, matchup quality, and injury context.

High Confidence Props

The strongest plays, isolated from the long tail.

Parlay Builder

Multi-leg construction with correlation analysis and cumulative probability math.

Understand them

Line Movement

Opening lines, multi-book timeline charts, and the story of how a prop has moved.

Sharp Signals

Visual flags when 3+ books move together (sync) or when steam is hitting hard.

Cross-Book Opportunities

True arbitrage, middling windows, and meaningful line discrepancies surfaced inline.

AI Movement Narratives

One-click 1-2 sentence factual summaries of how a line has moved.

Research Lab

Player trends, defense-vs-position, correlation analysis, and game simulations.

Track outcomes

My Bets

Bet log with bankroll management, ROI, win rate, and per-bet CLV.

CLV Dashboard

Closing line value across all your settled bets — the most predictive metric of long-term edge.

News & Updates

Recent injuries, lineup changes, and game notes that affect your tracked props.

Multi-sport

NBA, NFL, NHL, UFC, NCAAB, NCAAF — see Multi-Sport Support for which features apply per league.

Integrations

Discord Bot

Automated pick posting from Line Gap to your Discord server, with formatted embeds and scheduling.

How EV is calculated

The expected value (EV) on every prop is computed from a true probability estimate, then compared to the sportsbook’s implied probability:
EV% = (statistical_probability × decimal_odds) - 1
Statistical probability comes from:
  • ESPN historical game logs for the player’s past 20 games
  • Recent form weighting — the last 5 games count for more
  • Defense vs. Position adjustment — opponent’s rank against the player’s position and stat category
  • Sample size confidence intervals — wider intervals = lower confidence, baked into the rank
The number you see in the EV column is the number we’d act on if we had to pick a single estimator — but the dashboard lets you toggle to Advanced mode to see the full picture (CI bounds, season-only probability, weighted multi-season probability).

Where to start

If you’ve never used Line Gap before, the Dashboard is the first stop. Sort by EV, expand a row, click “Explain this movement” — that single workflow exercises most of what makes the platform different.