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

2026-09-01
19 starters strikeout_props_v2_calibrated_ladder

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+
MacKenzie Gore headshot
MacKenzie Gore
Probable | projected
TEX vs ATH
Score 63.9 | Lineup K 6.07
6.25 6.26 +0.01 82.6% 70.3% 56.4% 42.8% 30.7%
Paul Skenes headshot
Paul Skenes
Probable | projected
PIT vs SF
Score 78.4 | Lineup K 6.26
5.72 6.04 +0.32 80.8% 67.8% 53.5% 39.8% 28.0%
Freddy Peralta headshot
Freddy Peralta
Probable | projected
TB vs NYM
Score 64.6 | Lineup K 5.97
5.93 6.01 +0.08 80.5% 67.4% 53.1% 39.4% 27.6%
Kyle Bradish headshot
Kyle Bradish
Probable | projected
BAL vs COL
Score 81.8 | Lineup K 6.64
5.39 5.98 +0.59 80.2% 67.0% 52.7% 39.0% 27.3%
Jesús Luzardo headshot
Jesús Luzardo
Probable | projected
PHI vs AZ
Score 58.3 | Lineup K 5.30
6.13 5.88 -0.25 79.3% 65.8% 51.3% 37.6% 26.0%
Logan Webb headshot
Logan Webb
Probable | projected
SF vs PIT
Score 61.3 | Lineup K 5.90
5.45 5.66 +0.21 77.2% 63.0% 48.1% 34.5% 23.4%
Gavin Williams headshot
Gavin Williams
Probable | projected
CLE vs TOR
Score 44.6 | Lineup K 5.01
5.93 5.58 -0.35 76.4% 62.0% 47.0% 33.5% 22.4%
Nick Lodolo headshot
Nick Lodolo
Probable | projected
CIN vs SD
Score 51.2 | Lineup K 5.37
5.19 5.26 +0.07 72.9% 57.5% 42.2% 29.0% 18.8%
Ronel Blanco headshot
Ronel Blanco
Probable | projected
HOU vs CWS
Score 53.1 | Lineup K 5.00
5.23 5.16 -0.07 71.7% 56.0% 40.7% 27.7% 17.7%
Bryan Woo headshot
Bryan Woo
Probable | projected
SEA vs BOS
Score 63.1 | Lineup K 5.75
4.74 5.15 +0.41 71.6% 55.9% 40.6% 27.6% 17.6%
Sean Manaea headshot
Sean Manaea
Probable | projected
NYM vs TB
Score 60.1 | Lineup K 5.14
4.73 4.91 +0.18 68.5% 52.2% 36.9% 24.3% 15.1%
Matthew Boyd headshot
Matthew Boyd
Probable | projected
CHC vs MIL
Score 46.1 | Lineup K 4.74
4.99 4.89 -0.10 68.2% 51.9% 36.6% 24.1% 14.8%
Eduardo Rodriguez headshot
Eduardo Rodriguez
Probable | projected
AZ vs PHI
Score 46.8 | Lineup K 5.41
4.47 4.79 +0.32 66.9% 50.3% 35.1% 22.8% 13.9%
Eric Lauer headshot
Eric Lauer
Probable | projected
LAD vs STL
Score 44.1 | Lineup K 4.63
4.28 4.38 +0.10 60.8% 43.6% 28.8% 17.6% 10.1%
Jake Irvin headshot
Jake Irvin
Probable | projected
WSH vs ATL
Score 23.7 | Lineup K 4.42
4.30 4.25 -0.05 58.7% 41.4% 26.8% 16.1% 9.0%
Sean Burke headshot
Sean Burke
Probable | projected
CWS vs HOU
Score 30.8 | Lineup K 4.43
3.69 3.89 +0.20 52.6% 35.1% 21.5% 12.1% 6.4%
Aj Smith-Shawver headshot
Aj Smith-Shawver
Probable | projected
ATL vs WSH
Score 24.2 | Lineup K 3.86
4.01 3.88 -0.13 52.4% 34.9% 21.3% 12.0% 6.3%
Randy Vásquez headshot
Randy Vásquez
Probable | projected
SD vs CIN
Score 21.8 | Lineup K 3.94
3.11 3.32 +0.21 41.7% 25.2% 13.8% 6.9% 3.2%
Michael McGreevy headshot
Michael McGreevy
Probable | projected
STL vs LAD
Score 19.0 | Lineup K 3.82
2.87 3.12 +0.25 37.7% 21.8% 11.4% 5.5% 2.4%

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.