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

2026-06-06
19 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 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+
Yoshinobu Yamamoto headshot
Yoshinobu Yamamoto
Probable | projected
LAD vs LAA
Score 78.6 | Lineup K 6.53
5.87 6.24 +0.37 82.4% 70.0% 56.1% 42.5% 30.5%
Jacob Misiorowski headshot
Jacob Misiorowski
Probable | projected
MIL vs COL
Score 80.2 | Lineup K 6.12
5.98 6.17 +0.19 81.9% 69.3% 55.2% 41.5% 29.6%
Joe Ryan headshot
Joe Ryan
Probable | projected
MIN vs KC
Score 65.9 | Lineup K 5.64
6.04 5.98 -0.06 80.2% 67.0% 52.7% 39.0% 27.3%
Spencer Strider headshot
Spencer Strider
Probable | projected
ATL vs PIT
Score 74.4 | Lineup K 6.78
5.22 5.88 +0.66 79.3% 65.8% 51.3% 37.6% 26.0%
Kyle Bradish headshot
Kyle Bradish
Probable | projected
BAL vs TOR
Score 64.8 | Lineup K 5.50
5.48 5.55 +0.07 76.1% 61.6% 46.6% 33.0% 22.1%
Nick Lodolo headshot
Nick Lodolo
Probable | projected
CIN vs STL
Score 63.6 | Lineup K 5.85
4.79 5.16 +0.37 71.7% 56.0% 40.7% 27.7% 17.7%
Ben Brown headshot
Ben Brown
Probable | projected
CHC vs SF
Score 52.0 | Lineup K 5.05
5.14 5.12 -0.02 71.2% 55.4% 40.1% 27.2% 17.3%
Will Warren headshot
Will Warren
Probable | projected
NYY vs BOS
Score 43.0 | Lineup K 5.21
5.12 5.12 +0.00 71.2% 55.4% 40.1% 27.2% 17.3%
Tanner Bibee headshot
Tanner Bibee
Probable | projected
CLE vs TEX
Score 55.2 | Lineup K 5.71
4.59 5.00 +0.41 69.7% 53.6% 38.3% 25.5% 16.0%
Jack Leiter headshot
Jack Leiter
Probable | projected
TEX vs CLE
Score 44.0 | Lineup K 4.55
5.24 4.97 -0.27 69.3% 53.1% 37.8% 25.1% 15.7%
Ranger Suarez headshot
Ranger Suarez
Probable | projected
BOS vs NYY
Score 47.1 | Lineup K 5.73
4.25 4.75 +0.50 66.3% 49.7% 34.4% 22.2% 13.5%
Eduardo Rodriguez headshot
Eduardo Rodriguez
Probable | projected
AZ vs WSH
Score 45.0 | Lineup K 4.91
4.39 4.55 +0.16 63.4% 46.4% 31.4% 19.7% 11.6%
Bryce Miller headshot
Bryce Miller
Probable | projected
SEA vs DET
Score 48.3 | Lineup K 5.06
4.05 4.40 +0.35 61.1% 43.9% 29.1% 17.8% 10.3%
Landen Roupp headshot
Landen Roupp
Probable | projected
SF vs CHC
Score 34.4 | Lineup K 4.36
4.26 4.24 -0.02 58.6% 41.2% 26.6% 16.0% 8.9%
Griffin Canning headshot
Griffin Canning
Probable | projected
SD vs NYM
Score 26.5 | Lineup K 4.61
4.08 4.19 +0.11 57.8% 40.3% 25.9% 15.4% 8.5%
Matthew Liberatore headshot
Matthew Liberatore
Probable | projected
STL vs CIN
Score 31.3 | Lineup K 4.49
3.83 3.96 +0.13 53.8% 36.3% 22.5% 12.8% 6.9%
Keider Montero headshot
Keider Montero
Probable | projected
DET vs SEA
Score 25.2 | Lineup K 4.15
3.48 3.64 +0.16 47.9% 30.7% 17.9% 9.7% 4.9%
Zack Littell headshot
Zack Littell
Probable | projected
WSH vs AZ
Score 29.3 | Lineup K 3.78
3.58 3.59 +0.01 47.0% 29.8% 17.3% 9.2% 4.6%
Jack Kochanowicz headshot
Jack Kochanowicz
Probable | projected
LAA vs LAD
Score 13.6 | Lineup K 3.94
3.54 3.57 +0.03 46.6% 29.5% 17.0% 9.0% 4.5%

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.