> ## Documentation Index
> Fetch the complete documentation index at: https://docs.linegap.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Line Gap product feature map

> Line Gap features grouped into three layers — find opportunities, understand them with line movement and sharp signals, then track outcomes and CLV.

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

## Find opportunities

<CardGroup cols={2}>
  <Card title="Dashboard" icon="house" href="/features/dashboard">
    The +EV scanner. Today's props sorted by expected value, with sharp signals and cross-book badges inline.
  </Card>

  <Card title="Best Bets" icon="trophy" href="/features/best-bets">
    Composite-scored picks. Combines EV with sample size, recent form, matchup quality, and injury context.
  </Card>

  <Card title="High Confidence Props" icon="star" href="/features/high-confidence-props">
    The strongest plays, isolated from the long tail.
  </Card>

  <Card title="Parlay Builder" icon="layer-group" href="/features/parlay-builder">
    Multi-leg construction with correlation analysis and cumulative probability math.
  </Card>
</CardGroup>

## Understand them

<CardGroup cols={2}>
  <Card title="Line Movement" icon="chart-line" href="/features/line-movement">
    Opening lines, multi-book timeline charts, and the story of how a prop has moved.
  </Card>

  <Card title="Sharp Signals" icon="bolt" href="/features/sharp-signals">
    Visual flags when 3+ books move together (sync) or when steam is hitting hard.
  </Card>

  <Card title="Cross-Book Opportunities" icon="scale-balanced" href="/features/cross-book-opportunities">
    True arbitrage, middling windows, and meaningful line discrepancies surfaced inline.
  </Card>

  <Card title="AI Movement Narratives" icon="sparkles" href="/features/ai-narratives">
    One-click 1-2 sentence factual summaries of how a line has moved.
  </Card>

  <Card title="Research Lab" icon="flask" href="/features/research-lab">
    Player trends, defense-vs-position, correlation analysis, and game simulations.
  </Card>
</CardGroup>

## Track outcomes

<CardGroup cols={2}>
  <Card title="My Bets" icon="receipt" href="/features/bankroll-management">
    Bet log with bankroll management, ROI, win rate, and per-bet CLV.
  </Card>

  <Card title="CLV Dashboard" icon="arrow-trend-up" href="/features/clv-tracking">
    Closing line value across all your settled bets — the most predictive metric of long-term edge.
  </Card>

  <Card title="News & Updates" icon="newspaper" href="/features/news-aggregation">
    Recent injuries, lineup changes, and game notes that affect your tracked props.
  </Card>
</CardGroup>

## Multi-sport

NBA, NFL, NHL, UFC, NCAAB, NCAAF — see [Multi-Sport Support](/features/multi-sport) for which features apply per league.

## Integrations

<Card title="Discord Bot" icon="discord" href="/features/discord-integration">
  Automated pick posting from Line Gap to your Discord server, with formatted embeds and scheduling.
</Card>

## 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](/features/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.