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

2026-08-04
20 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 20
Skipped 10
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 CHC
Score 78.7 | Lineup K 6.48
6.15 6.41 +0.26 83.7% 71.9% 58.4% 44.8% 32.6%
Jesús Luzardo headshot
Jesús Luzardo
Probable | projected
PHI vs WSH
Score 66.7 | Lineup K 5.87
6.31 6.24 -0.07 82.4% 70.0% 56.1% 42.5% 30.5%
Freddy Peralta headshot
Freddy Peralta
Probable | projected
TB vs COL
Score 80.4 | Lineup K 6.79
5.54 6.12 +0.58 81.5% 68.7% 54.6% 40.9% 29.0%
MacKenzie Gore headshot
MacKenzie Gore
Probable | projected
TEX vs SF
Score 59.8 | Lineup K 5.52
6.15 5.92 -0.23 79.7% 66.3% 51.8% 38.1% 26.5%
Joe Ryan headshot
Joe Ryan
Probable | projected
MIN vs KC
Score 66.0 | Lineup K 5.64
5.66 5.73 +0.07 77.9% 63.9% 49.2% 35.5% 24.2%
Joey Cantillo headshot
Joey Cantillo
Probable | projected
CLE vs NYM
Score 41.3 | Lineup K 5.03
5.35 5.20 -0.15 72.2% 56.6% 41.3% 28.2% 18.1%
Grant Holmes headshot
Grant Holmes
Probable | projected
ATL vs MIA
Score 54.3 | Lineup K 5.43
4.82 5.05 +0.23 70.3% 54.4% 39.1% 26.2% 16.5%
Ryan Weathers headshot
Ryan Weathers
Probable | projected
NYY vs STL
Score 42.3 | Lineup K 4.67
5.25 5.02 -0.23 70.0% 53.9% 38.6% 25.8% 16.2%
Cade Povich headshot
Cade Povich
Probable | projected
BAL vs LAA
Score 44.7 | Lineup K 5.39
4.77 4.97 +0.20 69.3% 53.1% 37.8% 25.1% 15.7%
Sean Manaea headshot
Sean Manaea
Probable | projected
NYM vs CLE
Score 64.9 | Lineup K 5.34
4.46 4.82 +0.36 67.3% 50.8% 35.5% 23.2% 14.1%
Brady Singer headshot
Brady Singer
Probable | projected
CIN vs ATH
Score 54.8 | Lineup K 5.81
4.28 4.81 +0.53 67.2% 50.6% 35.4% 23.0% 14.1%
J.t. Ginn headshot
J.t. Ginn
Probable | projected
ATH vs CIN
Score 67.1 | Lineup K 6.59
4.14 4.70 +0.56 65.6% 48.9% 33.7% 21.6% 13.0%
Eduardo Rodriguez headshot
Eduardo Rodriguez
Probable | projected
AZ vs SD
Score 40.2 | Lineup K 4.85
4.39 4.52 +0.13 63.0% 45.9% 30.9% 19.3% 11.3%
Hayden Wesneski headshot
Hayden Wesneski
Probable | projected
HOU vs TOR
Score 35.4 | Lineup K 4.27
4.47 4.35 -0.12 60.4% 43.1% 28.3% 17.2% 9.8%
Ryan Gusto headshot
Ryan Gusto
Probable | projected
MIA vs ATL
Score 34.9 | Lineup K 4.88
3.98 4.24 +0.26 58.6% 41.2% 26.6% 16.0% 8.9%
Emerson Hancock headshot
Emerson Hancock
Probable | projected
SEA vs DET
Score 24.4 | Lineup K 4.19
4.28 4.16 -0.12 57.2% 39.8% 25.4% 15.0% 8.3%
Davis Martin headshot
Davis Martin
Probable | projected
CWS vs BOS
Score 26.4 | Lineup K 4.33
3.98 4.03 +0.05 55.0% 37.6% 23.5% 13.6% 7.3%
Javier Assad headshot
Javier Assad
Probable | projected
CHC vs LAD
Score 20.8 | Lineup K 4.16
3.57 3.69 +0.12 48.9% 31.6% 18.6% 10.1% 5.1%
Hunter Dobbins headshot
Hunter Dobbins
Probable | projected
STL vs NYY
Score 23.6 | Lineup K 4.12
3.14 3.41 +0.27 43.5% 26.7% 14.9% 7.6% 3.6%
Randy Vásquez headshot
Randy Vásquez
Probable | projected
SD vs AZ
Score 11.2 | Lineup K 2.82
3.10 2.91 -0.19 33.4% 18.4% 9.1% 4.2% 1.8%

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.