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

2026-05-30
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 11
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 LAD
Score 56.9 | Lineup K 5.90
5.93 5.95 +0.02 80.0% 66.7% 52.2% 38.6% 26.9%
Framber Valdez headshot
Framber Valdez
Probable | projected
DET vs CWS
Score 61.7 | Lineup K 5.94
4.57 5.15 +0.58 71.6% 55.9% 40.6% 27.6% 17.6%
Bryan Woo headshot
Bryan Woo
Probable | projected
SEA vs AZ
Score 57.5 | Lineup K 4.99
5.09 5.09 +0.00 70.8% 55.0% 39.7% 26.7% 16.9%
J.t. Ginn headshot
J.t. Ginn
Probable | projected
ATH vs NYY
Score 51.7 | Lineup K 6.13
4.52 5.07 +0.55 70.6% 54.7% 39.4% 26.5% 16.7%
Michael King headshot
Michael King
Probable | projected
SD vs WSH
Score 60.9 | Lineup K 5.36
4.70 4.97 +0.27 69.3% 53.1% 37.8% 25.1% 15.7%
Sonny Gray headshot
Sonny Gray
Probable | projected
BOS vs CLE
Score 70.0 | Lineup K 5.79
4.30 4.94 +0.64 68.9% 52.7% 37.4% 24.7% 15.4%
Ben Brown headshot
Ben Brown
Probable | projected
CHC vs STL
Score 50.4 | Lineup K 5.18
4.76 4.91 +0.15 68.5% 52.2% 36.9% 24.3% 15.1%
Ryan Weathers headshot
Ryan Weathers
Probable | projected
NYY vs ATH
Score 42.6 | Lineup K 4.98
4.87 4.88 +0.01 68.1% 51.7% 36.5% 23.9% 14.8%
Seth Lugo headshot
Seth Lugo
Probable | projected
KC vs TEX
Score 41.6 | Lineup K 5.10
4.73 4.83 +0.10 67.4% 51.0% 35.7% 23.3% 14.2%
Mitch Keller headshot
Mitch Keller
Probable | projected
PIT vs MIN
Score 51.5 | Lineup K 5.55
4.28 4.73 +0.45 66.0% 49.4% 34.1% 22.0% 13.3%
Drew Rasmussen headshot
Drew Rasmussen
Probable | projected
TB vs LAA
Score 62.4 | Lineup K 5.01
4.28 4.58 +0.30 63.9% 46.9% 31.8% 20.1% 11.9%
Brady Singer headshot
Brady Singer
Probable | projected
CIN vs ATL
Score 38.0 | Lineup K 5.24
4.28 4.57 +0.29 63.7% 46.8% 31.7% 20.0% 11.8%
Bailey Ober headshot
Bailey Ober
Probable | projected
MIN vs PIT
Score 52.7 | Lineup K 5.28
3.97 4.44 +0.47 61.8% 44.6% 29.7% 18.3% 10.6%
Ryne Nelson headshot
Ryne Nelson
Probable | projected
AZ vs SEA
Score 31.9 | Lineup K 4.59
4.07 4.19 +0.12 57.8% 40.3% 25.9% 15.4% 8.5%
Kumar Rocker headshot
Kumar Rocker
Probable | projected
TEX vs KC
Score 33.6 | Lineup K 4.26
4.22 4.18 -0.04 57.6% 40.2% 25.7% 15.3% 8.5%
Ryan Feltner headshot
Ryan Feltner
Probable | projected
COL vs SF
Score 43.6 | Lineup K 4.57
3.80 4.05 +0.25 55.4% 37.9% 23.8% 13.8% 7.5%
Adrian Houser headshot
Adrian Houser
Probable | projected
SF vs COL
Score 47.2 | Lineup K 5.31
3.42 3.82 +0.40 51.3% 33.9% 20.5% 11.4% 5.9%
Brandon Young headshot
Brandon Young
Probable | projected
BAL vs TOR
Score 21.9 | Lineup K 3.85
3.67 3.65 -0.02 48.1% 30.9% 18.1% 9.8% 4.9%
Martín Pérez headshot
Martín Pérez
Probable | projected
ATL vs CIN
Score 28.5 | Lineup K 4.80
3.10 3.41 +0.31 43.5% 26.7% 14.9% 7.6% 3.6%

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.