Methodology

Methodology & historical data.

CLV.gg prices betting opportunities against sharp consensus, tracks closing-line value, and turns historical market movement into measurable signal.

Edges are estimates, not guarantees. The goal is better pricing discipline, not tout picks.

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01

How an edge is calculated

Four steps from offered price to closing-line score. Same code path that runs continuously in the production engine.

  1. Step 1

    Capture the offered price

    CLV.gg records the offered odds, line, book, market, and timestamp from supported sportsbooks.

    Offer captured
    Book
    FanDuel
    Market
    Jalen Brunson over 27.5 pts
    Offered
    -105
    Updated
    18s ago
  2. Step 2

    Build sharp consensus

    The offer is compared against a weighted sharp-book consensus to estimate fair market value.

    Sharp consensus
    Books sampled
    12
    Consensus fair
    -122
    Weighting
    Reliability weighted
  3. Step 3

    Score the edge

    When the offered price is meaningfully better than fair value, CLV.gg calculates an edge percentage and surfaces the row.

    Edge scored
    Offered
    -105
    Fair
    -122
    Edge
    +3.1%
  4. Step 4

    Track the close

    After the market closes, CLV.gg compares the entry against the closing number to measure whether the process beat the market.

    Closing line scored
    Entry
    -105
    Close
    -124
    CLV
    +7.5%
02

What sharp consensus means

Not every book carries the same signal. Consensus is how we avoid treating any single feed as ground truth.

  • CLV.gg does not treat every book equally. Each book gets a reliability weight based on long-term close-line accuracy.
  • Softer books are useful for finding opportunities. They post the offered prices we measure consensus against.
  • Sharper books help estimate fair value. Pinnacle, Betfair Exchange, ProphetX, and the rest of the sharp-anchor pool drive the consensus number.
  • Consensus pricing reduces reliance on one book. A disagreeing book gets out-voted by the pool; a corrupt feed gets filtered.
  • Book reliability can vary by sport, market, and time. A book that anchors well on NBA totals can be weaker on NHL props, and consensus accounts for that rather than treating every feed identically.
03

What CLV measures

Closing line value is a process-quality metric. It scores pricing discipline over sample size, not any individual bet.

  • CLV means closing line value. The difference between your entry price and the market's closing price.
  • Positive CLV means your entry beat the market close. The line moved toward your side after you took it.
  • It is not the same as winning every bet. A bet can lose and still log positive CLV. The entry beat the close; the result was still uncertain.
  • It is a process-quality metric over sample size. Read it across hundreds of settled bets, not three.
CLV over time+2.4%
Sample CLV trajectory over 240 settled bets. Green dots are wins, magenta are losses. Drawdown around bet 130 still closes with positive CLV by the end of the sample.
04

Historical market data turns alerts into research.

The detector flags edges in real time. The archive lets you study how those edges actually performed against the close.

  • Historical odds snapshotsPer-book, per-market, per-timestamp where coverage is available.
  • Edge historyDetected edges retained for retrospective study.
  • Closing line outcomesEntry vs. close for settled rows with available close data.
  • Market movementLine and price trajectories from open to close.
  • Book-level reliabilityHow each book scored against close, sliced by sport and market.
  • Result settlementWin/loss/push graded against game outcomes.
  • CLV by sliceAggregated CLV by sport, market, book, and time window.

Historical data access is rolling out for Pro and Enterprise customers.

05

Use cases for the archive

What the historical layer is built for. Research workflows, not marketing screenshots.

Backtest filters

See how a sport, book, market, or edge threshold performed historically.

Audit edge quality

Review whether detected edges beat the close over time.

Study book behavior

Compare how books move by market, sport, and timing.

Export research data

Use CSV/API access for deeper analysis and team workflows.

06

Data access by tier

What each plan unlocks across the methodology and the archive. Full plan comparison lives on the pricing page.

Edge
Dashboard-level CLV tracking on every settled bet.
Operator
30-day historical edge history and CSV exports.
Pro
Methodology transparency, per-edge CLV audit trail, and API access.
Enterprise
Historical odds archive, historical edge database, bulk exports, higher-limit API, and custom data pulls.

Need historical odds or edge archives at scale? Contact sales →

07

Limitations and transparency

What CLV.gg does not claim. Read this before sizing a position.

  • Edges are model estimates, not guarantees.
  • Lines move quickly. The price you saw may not be the price you fill.
  • Availability varies by book, sport, and market.
  • Positive CLV does not guarantee profit on any individual bet.
  • Historical results can change as data coverage expands.
  • You are responsible for execution, limits, and risk management.

Price the bet. Track the close. Study the history.

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