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

2026-09-02
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 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+
Dylan Cease headshot
Dylan Cease
Probable | projected
TOR vs CLE
Score 69.8 | Lineup K 5.80
6.57 6.40 -0.17 83.7% 71.8% 58.2% 44.6% 32.5%
Cam Schlittler headshot
Cam Schlittler
Probable | projected
NYY vs LAA
Score 79.0 | Lineup K 6.60
5.62 6.10 +0.48 81.3% 68.5% 54.3% 40.6% 28.7%
Yoshinobu Yamamoto headshot
Yoshinobu Yamamoto
Probable | projected
LAD vs STL
Score 73.7 | Lineup K 5.87
5.89 5.99 +0.10 80.3% 67.2% 52.8% 39.1% 27.4%
Jacob Misiorowski headshot
Jacob Misiorowski
Probable | projected
MIL vs CHC
Score 67.6 | Lineup K 5.26
6.06 5.86 -0.20 79.2% 65.6% 51.0% 37.3% 25.8%
Joey Cantillo headshot
Joey Cantillo
Probable | projected
CLE vs TOR
Score 46.5 | Lineup K 4.76
5.56 5.27 -0.29 73.0% 57.6% 42.4% 29.2% 18.9%
Dean Kremer headshot
Dean Kremer
Probable | projected
MIN vs DET
Score 45.0 | Lineup K 5.11
4.81 4.90 +0.09 68.4% 52.1% 36.8% 24.2% 15.0%
Trevor Rogers headshot
Trevor Rogers
Probable | projected
BAL vs COL
Score 58.2 | Lineup K 5.77
4.35 4.88 +0.53 68.1% 51.7% 36.5% 23.9% 14.8%
Casey Mize headshot
Casey Mize
Probable | projected
SD vs CIN
Score 46.5 | Lineup K 5.14
4.78 4.84 +0.06 67.6% 51.1% 35.8% 23.4% 14.3%
David Peterson headshot
David Peterson
Probable | projected
CHC vs MIL
Score 40.2 | Lineup K 5.08
4.74 4.82 +0.08 67.3% 50.8% 35.5% 23.2% 14.1%
Jacob Lopez headshot
Jacob Lopez
Probable | projected
ATH vs TEX
Score 57.7 | Lineup K 5.63
4.22 4.70 +0.48 65.6% 48.9% 33.7% 21.6% 13.0%
Grant Holmes headshot
Grant Holmes
Probable | projected
ATL vs WSH
Score 48.2 | Lineup K 5.01
4.34 4.57 +0.23 63.7% 46.8% 31.7% 20.0% 11.8%
Noah Cameron headshot
Noah Cameron
Probable | projected
KC vs MIA
Score 44.6 | Lineup K 4.78
4.40 4.51 +0.11 62.8% 45.8% 30.8% 19.2% 11.2%
Eury Pérez headshot
Eury Pérez
Probable | projected
MIA vs KC
Score 58.0 | Lineup K 4.80
4.29 4.50 +0.21 62.7% 45.6% 30.6% 19.1% 11.1%
Hayden Wesneski headshot
Hayden Wesneski
Probable | projected
HOU vs CWS
Score 46.8 | Lineup K 4.36
4.52 4.45 -0.07 61.9% 44.8% 29.8% 18.5% 10.7%
Landen Roupp headshot
Landen Roupp
Probable | projected
SF vs PIT
Score 43.5 | Lineup K 4.67
4.27 4.39 +0.12 61.0% 43.8% 28.9% 17.7% 10.2%
Bryce Miller headshot
Bryce Miller
Probable | projected
SEA vs BOS
Score 42.9 | Lineup K 4.95
4.06 4.35 +0.29 60.4% 43.1% 28.3% 17.2% 9.8%
Davis Martin headshot
Davis Martin
Probable | projected
CWS vs HOU
Score 25.9 | Lineup K 4.16
4.00 3.98 -0.02 54.2% 36.7% 22.8% 13.1% 7.0%
Tomoyuki Sugano headshot
Tomoyuki Sugano
Probable | projected
COL vs BAL
Score 21.6 | Lineup K 4.04
3.42 3.55 +0.13 46.2% 29.1% 16.7% 8.8% 4.3%
Brad Lord headshot
Brad Lord
Probable | projected
WSH vs ATL
Score 25.8 | Lineup K 3.93
3.38 3.50 +0.12 45.3% 28.3% 16.1% 8.4% 4.1%

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.