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

2026-07-25
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 8
Distribution negative binomial style
Lineup Source projected

Leaderboard

Matchup-Adjusted Strikeout Board

Pitcher Matchup Base K Adj K Delta 4+ 5+ 6+ 7+ 8+
Dylan Cease headshot
Dylan Cease
Probable | projected
TOR vs BOS
Score 64.4 | Lineup K 6.29
6.56 6.54 -0.02 84.7% 73.2% 60.0% 46.5% 34.2%
Hunter Greene headshot
Hunter Greene
Probable | projected
CIN vs STL
Score 77.0 | Lineup K 6.30
5.89 6.16 +0.27 81.8% 69.2% 55.1% 41.4% 29.5%
Hunter Brown headshot
Hunter Brown
Probable | projected
HOU vs CWS
Score 68.8 | Lineup K 5.80
6.07 6.07 +0.00 81.0% 68.1% 53.9% 40.2% 28.4%
Paul Skenes headshot
Paul Skenes
Probable | projected
PIT vs CHC
Score 73.4 | Lineup K 6.13
5.71 5.97 +0.26 80.2% 66.9% 52.5% 38.8% 27.1%
Robbie Ray headshot
Robbie Ray
Probable | projected
SF vs LAA
Score 58.2 | Lineup K 6.26
5.58 5.86 +0.28 79.2% 65.6% 51.0% 37.3% 25.8%
Nathan Eovaldi headshot
Nathan Eovaldi
Probable | projected
TEX vs SEA
Score 50.4 | Lineup K 5.67
5.75 5.72 -0.03 77.8% 63.8% 49.0% 35.4% 24.1%
Yoshinobu Yamamoto headshot
Yoshinobu Yamamoto
Probable | projected
LAD vs NYM
Score 65.0 | Lineup K 5.73
5.49 5.64 +0.15 77.0% 62.7% 47.9% 34.3% 23.2%
Bryan Woo headshot
Bryan Woo
Probable | projected
SEA vs TEX
Score 67.0 | Lineup K 5.82
4.71 5.17 +0.46 71.8% 56.2% 40.9% 27.8% 17.8%
Sonny Gray headshot
Sonny Gray
Probable | projected
BOS vs TOR
Score 62.1 | Lineup K 5.82
4.68 5.13 +0.45 71.3% 55.6% 40.3% 27.3% 17.4%
Shota Imanaga headshot
Shota Imanaga
Probable | projected
CHC vs PIT
Score 54.2 | Lineup K 5.31
4.97 5.11 +0.14 71.1% 55.3% 40.0% 27.0% 17.2%
Bryce Elder headshot
Bryce Elder
Probable | projected
ATL vs BAL
Score 33.3 | Lineup K 5.20
4.86 4.91 +0.05 68.5% 52.2% 36.9% 24.3% 15.1%
Tanner Bibee headshot
Tanner Bibee
Probable | projected
CLE vs TB
Score 57.9 | Lineup K 5.12
4.59 4.81 +0.22 67.2% 50.6% 35.4% 23.0% 14.1%
Eury Pérez headshot
Eury Pérez
Probable | projected
MIA vs SD
Score 57.7 | Lineup K 5.04
4.66 4.77 +0.11 66.6% 50.0% 34.8% 22.5% 13.7%
Ryan Weathers headshot
Ryan Weathers
Probable | projected
NYY vs PHI
Score 35.1 | Lineup K 4.76
4.87 4.77 -0.10 66.6% 50.0% 34.8% 22.5% 13.7%
Casey Mize headshot
Casey Mize
Probable | projected
DET vs KC
Score 36.1 | Lineup K 4.21
5.14 4.76 -0.38 66.5% 49.9% 34.6% 22.4% 13.6%
Michael Wacha headshot
Michael Wacha
Probable | projected
KC vs DET
Score 41.0 | Lineup K 4.83
4.60 4.65 +0.05 64.9% 48.1% 32.9% 21.0% 12.5%
Sean Burke headshot
Sean Burke
Probable | projected
CWS vs HOU
Score 31.3 | Lineup K 4.43
4.05 4.12 +0.07 56.6% 39.1% 24.8% 14.6% 8.0%
Nick Martinez headshot
Nick Martinez
Probable | projected
TB vs CLE
Score 44.4 | Lineup K 4.04
3.85 3.90 +0.05 52.7% 35.3% 21.6% 12.2% 6.5%
Ryan Feltner headshot
Ryan Feltner
Probable | projected
COL vs MIL
Score 35.1 | Lineup K 4.41
3.42 3.72 +0.30 49.5% 32.1% 19.1% 10.4% 5.3%
Brandon Young headshot
Brandon Young
Probable | projected
BAL vs ATL
Score 18.6 | Lineup K 4.03
3.67 3.70 +0.03 49.1% 31.8% 18.8% 10.2% 5.2%
Andre Pallante headshot
Andre Pallante
Probable | projected
STL vs CIN
Score 37.1 | Lineup K 4.97
3.27 3.62 +0.35 47.6% 30.4% 17.7% 9.5% 4.7%
Randy Vásquez headshot
Randy Vásquez
Probable | projected
SD vs MIA
Score 24.7 | Lineup K 3.48
3.10 3.14 +0.04 38.1% 22.1% 11.6% 5.6% 2.5%

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.