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

2026-05-19
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 9
Distribution negative binomial style
Lineup Source projected

Leaderboard

Matchup-Adjusted Strikeout Board

Pitcher Matchup Base K Adj K Delta 4+ 5+ 6+ 7+ 8+
Dylan Cease headshot
Dylan Cease
Probable | projected
TOR vs NYY
Score 64.2 | Lineup K 6.78
6.55 6.71 +0.16 85.8% 74.9% 62.0% 48.7% 36.4%
Jesús Luzardo headshot
Jesús Luzardo
Probable | projected
PHI vs CIN
Score 75.5 | Lineup K 6.67
6.30 6.56 +0.26 84.8% 73.4% 60.2% 46.8% 34.5%
Jacob Misiorowski headshot
Jacob Misiorowski
Probable | projected
MIL vs CHC
Score 67.6 | Lineup K 5.26
5.98 5.81 -0.17 78.7% 65.0% 50.3% 36.6% 25.2%
Kyle Bradish headshot
Kyle Bradish
Probable | projected
BAL vs TB
Score 68.8 | Lineup K 5.46
5.47 5.55 +0.08 76.1% 61.6% 46.6% 33.0% 22.1%
Zebby Matthews headshot
Zebby Matthews
Probable | projected
MIN vs HOU
Score 45.3 | Lineup K 4.98
5.05 5.06 +0.01 70.5% 54.5% 39.2% 26.3% 16.6%
Ben Brown headshot
Ben Brown
Probable | projected
CHC vs MIL
Score 43.0 | Lineup K 4.89
5.13 5.02 -0.11 70.0% 53.9% 38.6% 25.8% 16.2%
Will Warren headshot
Will Warren
Probable | projected
NYY vs TOR
Score 41.0 | Lineup K 4.90
5.11 5.00 -0.11 69.7% 53.6% 38.3% 25.5% 16.0%
Emmet Sheehan headshot
Emmet Sheehan
Probable | projected
LAD vs SD
Score 58.8 | Lineup K 5.27
4.69 4.93 +0.24 68.8% 52.5% 37.2% 24.6% 15.3%
Jacob Lopez headshot
Jacob Lopez
Probable | projected
ATH vs LAA
Score 66.9 | Lineup K 6.06
4.20 4.77 +0.57 66.6% 50.0% 34.8% 22.5% 13.7%
Bryce Miller headshot
Bryce Miller
Probable | projected
SEA vs CWS
Score 51.4 | Lineup K 4.70
4.42 4.52 +0.10 63.0% 45.9% 30.9% 19.3% 11.3%
Ryne Nelson headshot
Ryne Nelson
Probable | projected
AZ vs SF
Score 42.8 | Lineup K 4.36
4.45 4.39 -0.06 61.0% 43.8% 28.9% 17.7% 10.2%
Mitch Keller headshot
Mitch Keller
Probable | projected
PIT vs STL
Score 54.0 | Lineup K 5.46
3.89 4.37 +0.48 60.7% 43.4% 28.6% 17.5% 10.0%
Ranger Suarez headshot
Ranger Suarez
Probable | projected
BOS vs KC
Score 47.3 | Lineup K 4.64
4.24 4.37 +0.13 60.7% 43.4% 28.6% 17.5% 10.0%
Kumar Rocker headshot
Kumar Rocker
Probable | projected
TEX vs COL
Score 52.7 | Lineup K 5.37
3.83 4.34 +0.51 60.2% 42.9% 28.1% 17.1% 9.8%
Griffin Canning headshot
Griffin Canning
Probable | projected
SD vs LAD
Score 24.2 | Lineup K 4.48
4.07 4.13 +0.06 56.8% 39.3% 25.0% 14.7% 8.1%
Landen Roupp headshot
Landen Roupp
Probable | projected
SF vs AZ
Score 28.7 | Lineup K 3.85
4.25 4.04 -0.21 55.2% 37.7% 23.6% 13.7% 7.4%
Matthew Liberatore headshot
Matthew Liberatore
Probable | projected
STL vs PIT
Score 29.1 | Lineup K 4.22
3.83 3.90 +0.07 52.7% 35.3% 21.6% 12.2% 6.5%
Keider Montero headshot
Keider Montero
Probable | projected
DET vs CLE
Score 36.9 | Lineup K 3.58
3.48 3.44 -0.04 44.1% 27.2% 15.3% 7.9% 3.8%
Martín Pérez headshot
Martín Pérez
Probable | projected
ATL vs MIA
Score 30.3 | Lineup K 4.25
3.10 3.42 +0.32 43.7% 26.9% 15.0% 7.7% 3.7%

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.