Player Props · DraftKings Lines & Edges

August 4, 2026 MLB Strikeouts Props

9 lines · Updated Aug 4, 3:32 PM ET

The Almanac's Take

The board is thin today — nine lines posted, zero model projections attached, and no edges surfaced. Without projection coverage, the Poisson model has nothing to price against, so `top_plays` comes back empty and there's no quantified edge to act on. The methodology is neutral-biased, which at least means the absence of plays isn't a suppression artifact. Worth noting: any integer strikeout lines (e.g. 2.0) carry a slight over-probability overstatement under the current model, though half-point lines aren't affected. Sparse slate; the numbers aren't there to support a recommendation right now.

How we model these edges

Model method:
poisson_per_game
Approximation quality:
Reasonable
Bias direction:
No systematic bias in either direction.
Edge definition:
model_over_prob - no_vig(over_implied_prob)
  • ·Integer lines (e.g. line=2.0) are treated as 'over wins on ≥2', which slightly overstates over_prob vs sportsbook push rules. Half-point lines (X.5) — the near-universal case for these markets — are unaffected.
Planned improvement: Replace Poisson tail with ML simulation prop_probs (src/projections/ml/simulation.py) once the sim emits the needed thresholds (TB ≥1/≥4/≥5; full K grid) and the backtest validates calibration improvement.

Strikeouts Board

0 of 9 projected
Strikeouts prop board sorted by signed model edge (over picks first).
#PlayerLineOdds O/UProjModel %Market %EdgePickConf
1
Brady Singer
4.5−116/ −11051%
2
Grayson Rodriguez
4.5−163/ +12859%
3
Hunter Dobbins
3.5−162/ +12658%
4
JT Ginn
5.5+123/ −15842%
5
Jesus Luzardo
7.5−112/ −11450%
6
Joey Cantillo
5.5−124/ −10352%
7
Ryan Weathers
5.5−113/ −11350%
8
Sean Manaea
4.5−110/ −11549%
9
Zack Littell
3.5+131/ −16841%

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