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

2026-09-08
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 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+
Tarik Skubal headshot
Tarik Skubal
Probable | projected
LAD vs CIN
Score 91.2 | Lineup K 7.64
6.55 7.16 +0.61 88.4% 78.9% 67.1% 54.4% 41.9%
Cam Schlittler headshot
Cam Schlittler
Probable | projected
NYY vs COL
Score 77.0 | Lineup K 6.59
6.00 6.34 +0.34 83.2% 71.2% 57.5% 43.9% 31.7%
Jacob Misiorowski headshot
Jacob Misiorowski
Probable | projected
MIL vs CHC
Score 67.4 | Lineup K 5.26
6.44 6.11 -0.33 81.4% 68.6% 54.4% 40.7% 28.8%
José Soriano headshot
José Soriano
Probable | projected
TOR vs ATH
Score 53.3 | Lineup K 6.26
5.58 5.83 +0.25 78.9% 65.2% 50.6% 36.9% 25.4%
Freddy Peralta headshot
Freddy Peralta
Probable | projected
TB vs ATL
Score 62.2 | Lineup K 5.87
5.55 5.72 +0.17 77.8% 63.8% 49.0% 35.4% 24.1%
Corbin Burnes headshot
Corbin Burnes
Probable | projected
AZ vs KC
Score 57.3 | Lineup K 5.47
4.93 5.15 +0.22 71.6% 55.9% 40.6% 27.6% 17.6%
Sandy Alcantara headshot
Sandy Alcantara
Probable | projected
MIA vs NYM
Score 37.2 | Lineup K 5.30
5.11 5.12 +0.01 71.2% 55.4% 40.1% 27.2% 17.3%
Tanner Bibee headshot
Tanner Bibee
Probable | projected
CLE vs BAL
Score 54.6 | Lineup K 5.93
4.60 5.08 +0.48 70.7% 54.8% 39.5% 26.6% 16.8%
Nick Lodolo headshot
Nick Lodolo
Probable | projected
CIN vs LAD
Score 47.8 | Lineup K 5.55
4.81 5.06 +0.25 70.5% 54.5% 39.2% 26.3% 16.6%
Sean Manaea headshot
Sean Manaea
Probable | projected
NYM vs MIA
Score 63.3 | Lineup K 5.46
4.73 5.04 +0.31 70.2% 54.2% 38.9% 26.1% 16.4%
Casey Mize headshot
Casey Mize
Probable | projected
SD vs WSH
Score 36.9 | Lineup K 4.09
5.17 4.74 -0.43 66.2% 49.5% 34.3% 22.1% 13.4%
Dean Kremer headshot
Dean Kremer
Probable | projected
MIN vs DET
Score 45.2 | Lineup K 5.11
4.43 4.65 +0.22 64.9% 48.1% 32.9% 21.0% 12.5%
Landen Roupp headshot
Landen Roupp
Probable | projected
SF vs STL
Score 43.0 | Lineup K 4.69
4.65 4.64 -0.01 64.8% 47.9% 32.8% 20.8% 12.4%
Michael Wacha headshot
Michael Wacha
Probable | projected
KC vs AZ
Score 32.4 | Lineup K 4.02
5.00 4.59 -0.41 64.0% 47.1% 32.0% 20.2% 11.9%
David Peterson headshot
David Peterson
Probable | projected
CHC vs MIL
Score 40.0 | Lineup K 5.08
4.36 4.58 +0.22 63.9% 46.9% 31.8% 20.1% 11.9%
Hayden Wesneski headshot
Hayden Wesneski
Probable | projected
HOU vs PHI
Score 40.2 | Lineup K 4.76
4.14 4.32 +0.18 59.9% 42.6% 27.9% 16.9% 9.6%
Sean Burke headshot
Sean Burke
Probable | projected
CWS vs PIT
Score 32.7 | Lineup K 4.62
4.07 4.20 +0.13 57.9% 40.5% 26.0% 15.5% 8.6%
Aj Smith-Shawver headshot
Aj Smith-Shawver
Probable | projected
ATL vs TB
Score 31.5 | Lineup K 3.95
4.39 4.17 -0.22 57.4% 40.0% 25.6% 15.2% 8.4%
Brandon Young headshot
Brandon Young
Probable | projected
BAL vs CLE
Score 31.6 | Lineup K 3.80
3.69 3.67 -0.02 48.5% 31.2% 18.4% 9.9% 5.0%

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.