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

2026-06-09
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 PHI
Score 72.7 | Lineup K 6.55
6.94 6.93 -0.01 87.2% 77.0% 64.6% 51.5% 39.1%
Zack Wheeler headshot
Zack Wheeler
Probable | projected
PHI vs TOR
Score 78.4 | Lineup K 6.71
6.39 6.65 +0.26 85.4% 74.3% 61.3% 47.9% 35.6%
Logan Gilbert headshot
Logan Gilbert
Probable | projected
SEA vs BAL
Score 66.8 | Lineup K 6.23
6.12 6.24 +0.12 82.4% 70.0% 56.1% 42.5% 30.5%
Freddy Peralta headshot
Freddy Peralta
Probable | projected
NYM vs STL
Score 73.4 | Lineup K 6.10
5.92 6.10 +0.18 81.3% 68.5% 54.3% 40.6% 28.7%
Paul Skenes headshot
Paul Skenes
Probable | projected
PIT vs LAD
Score 67.2 | Lineup K 6.14
5.71 5.94 +0.23 79.9% 66.6% 52.1% 38.4% 26.8%
Nathan Eovaldi headshot
Nathan Eovaldi
Probable | projected
TEX vs KC
Score 54.2 | Lineup K 5.06
5.38 5.23 -0.15 72.5% 57.0% 41.8% 28.6% 18.5%
Taj Bradley headshot
Taj Bradley
Probable | projected
MIN vs DET
Score 53.5 | Lineup K 5.52
5.01 5.20 +0.19 72.2% 56.6% 41.3% 28.2% 18.1%
Trevor Rogers headshot
Trevor Rogers
Probable | projected
BAL vs SEA
Score 39.3 | Lineup K 5.42
4.72 4.92 +0.20 68.7% 52.4% 37.1% 24.5% 15.2%
J.t. Ginn headshot
J.t. Ginn
Probable | projected
ATH vs MIL
Score 52.4 | Lineup K 5.39
4.52 4.83 +0.31 67.4% 51.0% 35.7% 23.3% 14.2%
Lucas Giolito headshot
Lucas Giolito
Probable | projected
SD vs CIN
Score 46.9 | Lineup K 5.81
4.26 4.76 +0.50 66.5% 49.9% 34.6% 22.4% 13.6%
Grant Holmes headshot
Grant Holmes
Probable | projected
ATL vs CWS
Score 55.2 | Lineup K 5.18
4.44 4.72 +0.28 65.9% 49.2% 34.0% 21.9% 13.2%
Max Meyer headshot
Max Meyer
Probable | projected
MIA vs AZ
Score 28.3 | Lineup K 4.35
4.96 4.66 -0.30 65.0% 48.2% 33.1% 21.1% 12.6%
Colin Rea headshot
Colin Rea
Probable | projected
CHC vs COL
Score 52.6 | Lineup K 5.35
3.90 4.38 +0.48 60.8% 43.6% 28.8% 17.6% 10.1%
Slade Cecconi headshot
Slade Cecconi
Probable | projected
CLE vs NYY
Score 31.9 | Lineup K 4.81
4.18 4.34 +0.16 60.2% 42.9% 28.1% 17.1% 9.8%
Zac Gallen headshot
Zac Gallen
Probable | projected
AZ vs MIA
Score 51.8 | Lineup K 5.38
3.85 4.32 +0.47 59.9% 42.6% 27.9% 16.9% 9.6%
Eric Lauer headshot
Eric Lauer
Probable | projected
LAD vs PIT
Score 41.0 | Lineup K 4.72
3.89 4.15 +0.26 57.1% 39.6% 25.3% 14.9% 8.2%
Stephen Kolek headshot
Stephen Kolek
Probable | projected
KC vs TEX
Score 27.3 | Lineup K 4.48
4.11 4.12 +0.01 56.6% 39.1% 24.8% 14.6% 8.0%
Dustin May headshot
Dustin May
Probable | projected
STL vs NYM
Score 29.4 | Lineup K 4.79
3.83 4.10 +0.27 56.2% 38.8% 24.5% 14.4% 7.9%
Nick Martinez headshot
Nick Martinez
Probable | projected
TB vs BOS
Score 35.3 | Lineup K 4.38
3.85 3.99 +0.14 54.3% 36.9% 22.9% 13.2% 7.1%
Erick Fedde headshot
Erick Fedde
Probable | projected
CWS vs ATL
Score 24.0 | Lineup K 4.58
3.65 3.89 +0.24 52.6% 35.1% 21.5% 12.1% 6.4%
Adrian Houser headshot
Adrian Houser
Probable | projected
SF vs WSH
Score 33.4 | Lineup K 4.19
3.80 3.88 +0.08 52.4% 34.9% 21.3% 12.0% 6.3%
Tomoyuki Sugano headshot
Tomoyuki Sugano
Probable | projected
COL vs CHC
Score 20.8 | Lineup K 3.67
3.41 3.42 +0.01 43.7% 26.9% 15.0% 7.7% 3.7%

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.