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

2026-07-18
22 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 22
Skipped 7
Distribution negative binomial style
Lineup Source projected

Leaderboard

Matchup-Adjusted Strikeout Board

Pitcher Matchup Base K Adj K Delta 4+ 5+ 6+ 7+ 8+
Tarik Skubal headshot
Tarik Skubal
Probable | projected
DET vs LAA
Score 91.3 | Lineup K 7.61
6.15 6.88 +0.73 86.9% 76.5% 64.0% 50.9% 38.5%
Jesús Luzardo headshot
Jesús Luzardo
Probable | projected
PHI vs NYM
Score 59.9 | Lineup K 5.94
6.31 6.23 -0.08 82.3% 69.9% 56.0% 42.4% 30.3%
MacKenzie Gore headshot
MacKenzie Gore
Probable | projected
TEX vs ATL
Score 51.0 | Lineup K 5.57
5.77 5.70 -0.07 77.6% 63.5% 48.7% 35.1% 23.9%
Gavin Williams headshot
Gavin Williams
Probable | projected
CLE vs PIT
Score 48.4 | Lineup K 5.33
5.90 5.64 -0.26 77.0% 62.7% 47.9% 34.3% 23.2%
Logan Webb headshot
Logan Webb
Probable | projected
SF vs SEA
Score 54.7 | Lineup K 6.11
5.31 5.61 +0.30 76.7% 62.4% 47.4% 33.9% 22.8%
Spencer Arrighetti headshot
Spencer Arrighetti
Probable | projected
HOU vs BAL
Score 47.2 | Lineup K 5.82
5.19 5.40 +0.21 74.5% 59.5% 44.3% 31.0% 20.4%
Bryan Woo headshot
Bryan Woo
Probable | projected
SEA vs SF
Score 70.6 | Lineup K 5.69
5.09 5.39 +0.30 74.4% 59.4% 44.2% 30.8% 20.2%
Matthew Boyd headshot
Matthew Boyd
Probable | projected
CHC vs MIN
Score 52.9 | Lineup K 5.04
5.32 5.23 -0.09 72.5% 57.0% 41.8% 28.6% 18.5%
Emmet Sheehan headshot
Emmet Sheehan
Probable | projected
LAD vs NYY
Score 58.7 | Lineup K 5.81
4.70 5.12 +0.42 71.2% 55.4% 40.1% 27.2% 17.3%
Taj Bradley headshot
Taj Bradley
Probable | projected
MIN vs CHC
Score 47.8 | Lineup K 5.22
5.01 5.07 +0.06 70.6% 54.7% 39.4% 26.5% 16.7%
Shane Bieber headshot
Shane Bieber
Probable | projected
TOR vs CWS
Score 56.2 | Lineup K 5.17
4.95 5.05 +0.10 70.3% 54.4% 39.1% 26.2% 16.5%
Sean Manaea headshot
Sean Manaea
Probable | projected
NYM vs PHI
Score 60.2 | Lineup K 5.67
4.46 4.92 +0.46 68.7% 52.4% 37.1% 24.5% 15.2%
Ryan Weathers headshot
Ryan Weathers
Probable | projected
NYY vs LAD
Score 27.0 | Lineup K 4.43
5.25 4.87 -0.38 68.0% 51.6% 36.3% 23.8% 14.6%
J.t. Ginn headshot
J.t. Ginn
Probable | projected
ATH vs WSH
Score 56.5 | Lineup K 5.39
4.52 4.85 +0.33 67.7% 51.3% 36.0% 23.5% 14.4%
Brandon Pfaadt headshot
Brandon Pfaadt
Probable | projected
AZ vs STL
Score 49.4 | Lineup K 5.17
4.46 4.71 +0.25 65.8% 49.0% 33.8% 21.7% 13.1%
Max Meyer headshot
Max Meyer
Probable | projected
MIA vs MIL
Score 35.7 | Lineup K 4.83
4.58 4.66 +0.08 65.0% 48.2% 33.1% 21.1% 12.6%
Trevor Rogers headshot
Trevor Rogers
Probable | projected
BAL vs HOU
Score 35.7 | Lineup K 4.56
4.34 4.37 +0.03 60.7% 43.4% 28.6% 17.5% 10.0%
Logan Allen headshot
Logan Allen
Probable | projected
CLE vs PIT
Score 29.9 | Lineup K 4.63
4.18 4.27 +0.09 59.1% 41.7% 27.1% 16.3% 9.2%
Zack Littell headshot
Zack Littell
Probable | projected
WSH vs ATH
Score 45.4 | Lineup K 4.88
3.58 3.99 +0.41 54.3% 36.9% 22.9% 13.2% 7.1%
Davis Martin headshot
Davis Martin
Probable | projected
CWS vs TOR
Score 24.7 | Lineup K 3.99
3.98 3.90 -0.08 52.7% 35.3% 21.6% 12.2% 6.5%
Dustin May headshot
Dustin May
Probable | projected
STL vs AZ
Score 26.0 | Lineup K 4.16
3.83 3.87 +0.04 52.2% 34.8% 21.2% 11.9% 6.2%
Griffin Canning headshot
Griffin Canning
Probable | projected
SD vs KC
Score 31.2 | Lineup K 4.27
3.70 3.80 +0.10 50.9% 33.5% 20.2% 11.2% 5.8%

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.