Projections

Daily Strikeout Props Board

A site-facing read of the saved strikeout props artifact. The page keeps the underlying daily strikeout model intact, then layers in bounded lineup and pitch-matchup context to produce an adjusted mean and threshold ladder.

Props Slate

2026-07-09
19 starters strikeout_props_v1_nb_overlay

Overview

Props Snapshot

The page reads directly from the saved props artifact and keeps the public view centered on adjusted strikeout expectations and threshold probabilities.

Projected Starters 19
Skipped 5
Distribution negative binomial style
Lineup Source projected

Leaderboard

Matchup-Adjusted Strikeout Board

Pitcher Matchup Base K Adj K Delta 4+ 5+ 6+ 7+ 8+
Jesús Luzardo headshot
Jesús Luzardo
Probable | projected
PHI vs CIN
Score 75.5 | Lineup K 6.67
5.93 6.32 +0.39 83.0% 70.9% 57.2% 43.6% 31.5%
Nathan Eovaldi headshot
Nathan Eovaldi
Probable | projected
TEX vs LAA
Score 66.4 | Lineup K 6.18
5.75 5.92 +0.17 79.7% 66.3% 51.8% 38.1% 26.5%
Framber Valdez headshot
Framber Valdez
Probable | projected
DET vs ATH
Score 64.8 | Lineup K 6.87
4.95 5.61 +0.66 76.7% 62.4% 47.4% 33.9% 22.8%
Gavin Williams headshot
Gavin Williams
Probable | projected
CLE vs MIN
Score 51.0 | Lineup K 5.45
5.52 5.50 -0.02 75.6% 60.9% 45.8% 32.4% 21.5%
Bryce Elder headshot
Bryce Elder
Probable | projected
ATL vs PIT
Score 38.3 | Lineup K 5.05
4.86 4.88 +0.02 68.1% 51.7% 36.5% 23.9% 14.8%
Sean Manaea headshot
Sean Manaea
Probable | projected
NYM vs KC
Score 53.0 | Lineup K 4.81
4.84 4.84 +0.00 67.6% 51.1% 35.8% 23.4% 14.3%
David Peterson headshot
David Peterson
Probable | projected
CHC vs BAL
Score 40.0 | Lineup K 5.53
4.36 4.73 +0.37 66.0% 49.4% 34.1% 22.0% 13.3%
Brady Singer headshot
Brady Singer
Probable | projected
CIN vs PHI
Score 46.2 | Lineup K 5.47
4.28 4.68 +0.40 65.3% 48.6% 33.4% 21.3% 12.8%
Trevor Rogers headshot
Trevor Rogers
Probable | projected
BAL vs CHC
Score 36.9 | Lineup K 4.68
4.72 4.66 -0.06 65.0% 48.2% 33.1% 21.1% 12.6%
Mitch Keller headshot
Mitch Keller
Probable | projected
PIT vs ATL
Score 41.3 | Lineup K 5.26
4.28 4.59 +0.31 64.0% 47.1% 32.0% 20.2% 11.9%
Michael Wacha headshot
Michael Wacha
Probable | projected
KC vs NYM
Score 33.6 | Lineup K 4.69
4.60 4.57 -0.03 63.7% 46.8% 31.7% 20.0% 11.8%
Bailey Ober headshot
Bailey Ober
Probable | projected
MIN vs CLE
Score 56.7 | Lineup K 4.81
4.34 4.53 +0.19 63.1% 46.1% 31.1% 19.4% 11.4%
Bryce Miller headshot
Bryce Miller
Probable | projected
SEA vs MIA
Score 52.4 | Lineup K 5.04
4.05 4.40 +0.35 61.1% 43.9% 29.1% 17.8% 10.3%
Drew Rasmussen headshot
Drew Rasmussen
Probable | projected
TB vs NYY
Score 47.4 | Lineup K 4.77
4.28 4.40 +0.12 61.1% 43.9% 29.1% 17.8% 10.3%
Merrill Kelly headshot
Merrill Kelly
Probable | projected
AZ vs SD
Score 44.2 | Lineup K 5.10
3.98 4.35 +0.37 60.4% 43.1% 28.3% 17.2% 9.8%
Griffin Canning headshot
Griffin Canning
Probable | projected
SD vs AZ
Score 23.9 | Lineup K 3.98
4.08 3.96 -0.12 53.8% 36.3% 22.5% 12.8% 6.9%
Ryan Feltner headshot
Ryan Feltner
Probable | projected
COL vs SF
Score 42.6 | Lineup K 4.57
3.42 3.80 +0.38 50.9% 33.5% 20.2% 11.2% 5.8%
Janson Junk headshot
Janson Junk
Probable | projected
MIA vs SEA
Score 22.0 | Lineup K 3.76
3.56 3.55 -0.01 46.2% 29.1% 16.7% 8.8% 4.3%
Andre Pallante headshot
Andre Pallante
Probable | projected
STL vs MIL
Score 26.8 | Lineup K 4.16
3.27 3.48 +0.21 44.9% 27.9% 15.8% 8.2% 4.0%

Methodology

How V1 Builds The Board

Baseline strikeout projections from the pitcher strikeout model are adjusted with a bounded matchup multiplier derived from lineup-level strikeout pressure, projected batting-order context, and pitch-matchup interaction. Threshold probabilities are generated from the matchup-adjusted mean using a deterministic negative-binomial-style count model with empirically estimated overdispersion.

Baseline

Daily Strikeout Model First

The baseline mean comes from the existing pitcher strikeout projection system, unchanged from the saved daily strikeout artifact.

Adjustment

Bounded Matchup Overlay

Public context is limited to the matchup score, lineup expected strikeouts, lineup confidence, and pitch-mix sample size. The adjustment stays modest and explainable instead of replacing the baseline model.

Probabilities

Threshold Ladder

The 4+ through 8+ probabilities are generated from the matchup-adjusted mean using the artifact's deterministic negative binomial style count layer.

Later

Ready For Market Comparison

This page can expand cleanly into sportsbook line comparison later by adding line, price, fair probability, and fair-price gap columns next to the existing baseline, adjusted mean, and threshold ladder.