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

2026-08-18
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+
Zack Wheeler headshot
Zack Wheeler
Probable | projected
PHI vs MIA
Score 83.1 | Lineup K 7.18
6.79 7.11 +0.32 88.2% 78.5% 66.6% 53.8% 41.3%
Kevin Gausman headshot
Kevin Gausman
Probable | projected
CHC vs CWS
Score 59.6 | Lineup K 5.35
5.94 5.78 -0.16 78.4% 64.6% 49.9% 36.2% 24.8%
Carlos Rodón headshot
Carlos Rodón
Probable | projected
NYY vs BAL
Score 52.8 | Lineup K 6.04
5.54 5.73 +0.19 77.9% 63.9% 49.2% 35.5% 24.2%
José Soriano headshot
José Soriano
Probable | projected
TOR vs TB
Score 45.5 | Lineup K 5.12
5.58 5.40 -0.18 74.5% 59.5% 44.3% 31.0% 20.4%
Shane Baz headshot
Shane Baz
Probable | projected
BAL vs NYY
Score 45.4 | Lineup K 5.84
5.05 5.31 +0.26 73.5% 58.2% 43.0% 29.7% 19.4%
Robbie Ray headshot
Robbie Ray
Probable | projected
SD vs NYM
Score 42.7 | Lineup K 5.47
5.21 5.27 +0.06 73.0% 57.6% 42.4% 29.2% 18.9%
Kyle Harrison headshot
Kyle Harrison
Probable | projected
MIL vs SEA
Score 37.4 | Lineup K 5.09
5.14 5.07 -0.07 70.6% 54.7% 39.4% 26.5% 16.7%
Zebby Matthews headshot
Zebby Matthews
Probable | projected
MIN vs ATL
Score 39.2 | Lineup K 5.08
5.07 5.03 -0.04 70.1% 54.1% 38.8% 25.9% 16.3%
Ranger Suarez headshot
Ranger Suarez
Probable | projected
BOS vs AZ
Score 44.2 | Lineup K 4.53
4.65 4.59 -0.06 64.0% 47.1% 32.0% 20.2% 11.9%
Merrill Kelly headshot
Merrill Kelly
Probable | projected
AZ vs BOS
Score 45.9 | Lineup K 5.31
3.99 4.44 +0.45 61.8% 44.6% 29.7% 18.3% 10.6%
Andrew Abbott headshot
Andrew Abbott
Probable | projected
CIN vs STL
Score 49.7 | Lineup K 4.97
4.03 4.36 +0.33 60.5% 43.2% 28.5% 17.4% 9.9%
Eric Lauer headshot
Eric Lauer
Probable | projected
LAD vs COL
Score 53.8 | Lineup K 5.16
3.90 4.35 +0.45 60.4% 43.1% 28.3% 17.2% 9.8%
Bryce Miller headshot
Bryce Miller
Probable | projected
SEA vs MIL
Score 44.1 | Lineup K 4.71
4.06 4.27 +0.21 59.1% 41.7% 27.1% 16.3% 9.2%
Tyler Mahle headshot
Tyler Mahle
Probable | projected
ATL vs MIN
Score 41.6 | Lineup K 4.51
4.03 4.17 +0.14 57.4% 40.0% 25.6% 15.2% 8.4%
Ryan Feltner headshot
Ryan Feltner
Probable | projected
COL vs LAD
Score 27.8 | Lineup K 4.49
3.82 3.98 +0.16 54.2% 36.7% 22.8% 13.1% 7.0%
Nick Martinez headshot
Nick Martinez
Probable | projected
TB vs TOR
Score 34.1 | Lineup K 4.04
3.86 3.87 +0.01 52.2% 34.8% 21.2% 11.9% 6.2%
Cristian Javier headshot
Cristian Javier
Probable | projected
HOU vs LAA
Score 49.4 | Lineup K 5.55
3.45 3.86 +0.41 52.0% 34.6% 21.0% 11.8% 6.2%
Keider Montero headshot
Keider Montero
Probable | projected
DET vs PIT
Score 31.0 | Lineup K 4.00
3.12 3.38 +0.26 42.9% 26.2% 14.5% 7.4% 3.5%
Cal Quantrill headshot
Cal Quantrill
Probable | projected
TEX vs WSH
Score 19.7 | Lineup K 3.60
3.23 3.25 +0.02 40.3% 24.0% 12.9% 6.4% 2.9%

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.