Jukeline · How it works

How the board is built

Five sportsbooks, five live feeds, and a model that turns them into one lean per prop. The short version of where the numbers come from, what the model does with them, and the kind of bettor it’s for.

Where the data comes from
Lines from five books, layered with the context that moves them.

Every play on the board starts as a price. Jukeline pulls the player-prop market at every U.S. book that posts it — five sportsbooks, every available over/under — so a line isn’t a single point estimate but a spread across the whole market.

  • Five sportsbooks of player-prop lines
  • Live matchup feed (opponent, lineup, role)
  • Pace and possession-volume inputs
  • Rest and schedule context (back-to-backs, trips)
  • Weather where it matters (NFL, NCAAF)
  • Line-movement feed — drift and reverse-line moves
How the model works
Inputs → projection → vig-adjusted EV → lean and confidence.

The model takes the inputs above and produces a single projected value for the prop. It then prices that projection against every book’s line, strips out the vig, and asks one question: where is the expected value positive after the juice?

  1. Inputs. Matchup, pace, rest, weather, and line movement feed the projection layer.
  2. Projection + vig-adjusted EV. The model outputs a fair price per side of the prop — over or under — net of the book’s hold.
  3. Lean + confidence. A play makes the board only when the lean is clear and the conviction clears the volume bar. Lean, confidence, and the one-sentence reason ship together.
Who this is for
Small tickets, big volume. The board is not a single-ticket chase.

Jukeline is built for bettors who think in hundreds of props a week, not one or two. The edge is in compounding many small, positive-EV wagers — a single 3-unit bomb is not the use case.

If you’re placing one ticket and chasing a big payout, this isn’t the product for you. If you’re running a card across the day and want the lineups matched up, the pace baked in, and the lean pinned to over or under — that’s the board.

Track record
Hit rates by sport and confidence bucket — updated as plays resolve.

Every play that closes goes into the tracker. The dashboard reports hits vs. total for the last 30 days, broken out by NBA, NFL, MLB, and NHL — and across the three confidence buckets the model uses — so you can see the edge separate from the noise.