MLB Prediction System

Game Forensics

2026-10-11 · per game, per club, per hitter

slate 2026-10-11games 1
Per game

Every stage, every club edge

Each game expands to show the four forecast stages, the gates, the club-level KPI edges the model consumed and both lineups with their strongest readings. Composite z averages a hitter's KPI standard scores; a positive number means above the qualified-population mean on balance.

LAD @ MIL · final 1-2
StageAway runsHome runsHome winNote
Production baseline3.0004.0000.548what the system would have published
KPI-only forecast1.1476.6640.95344 KPI features alone, no baseline input
Blended2.3705.0120.548at the fitted weights
Published240.548after rounding and reconciliation
Actual12-official final
NOT applied. Failed gates: values_fresh. Lineup coverage LAD 0.883, MIL 0.988. Value age 14 days. Gates passed 5/6.

Club KPI edges

KPILADMILEdge (H-A)A spreadH spread
batter_barrel_rate_vs_breaking+0.097+0.057-0.0400.48890.9061
batter_barrel_rate_vs_fastball+0.714+0.136-0.5780.97650.89
batter_barrel_rate_vs_lhp+0.543-0.169-0.7120.73640.8995
batter_barrel_rate_vs_offspeed+0.563-0.163-0.7260.91120.8439
batter_barrel_rate_vs_rhp+0.508+0.238-0.2700.86080.8897
batter_bat_speed-0.044+0.409+0.4540.57430.984
batter_contact_rate_vs_breaking+0.040+0.463+0.4230.9380.7367
batter_contact_xwoba+0.743+0.485-0.2570.9321.0431
batter_contact_xwoba_vs_breaking+0.253+0.357+0.1040.7061.1325
batter_contact_xwoba_vs_fastball+0.921+0.476-0.4450.98630.9615
batter_exit_velocity_vs_fastball+0.691+0.605-0.0860.61960.7812
batter_ground_ball_rate_vs_fastball+0.469-0.663-1.1320.97610.4606
batter_ground_ball_rate_vs_slider+0.794-0.428-1.2220.77131.1727
batter_hard_hit_rate_vs_breaking+0.057+0.453+0.3960.82431.0148
batter_hard_hit_rate_vs_fastball+0.647+0.562-0.0850.67870.8581
batter_home_run_rate+0.501-0.273-0.7740.72470.8246
batter_strikeout_rate+0.350-0.025-0.3750.8430.8627
batter_walk_rate+0.565+0.637+0.0720.6470.9306
batter_whiff_rate_vs_breaking+0.205+0.129-0.0760.92080.636
batter_whiff_rate_vs_fastball+0.210+0.072-0.1380.88530.8482
batter_whiff_rate_vs_lhp+0.204+0.333+0.1291.21290.6944
batter_whiff_rate_vs_offspeed+0.141-0.011-0.1520.87131.0516
batter_whiff_rate_vs_rhp+0.176-0.000-0.1770.85490.8387
pitcher_barrel_rate_allowed+0.652+2.709+2.058--
pitcher_barrel_rate_vs_lhh+0.668+2.195+1.526--
pitcher_barrel_rate_vs_rhh+0.339+1.785+1.446--
pitcher_contact_xwoba_allowed+0.128+1.598+1.470--
pitcher_ground_ball_rate_induced+0.396+0.239-0.157--
pitcher_hard_hit_rate_allowed+1.153+1.597+0.444--
pitcher_home_run_rate_allowed+0.877+1.371+0.494--
pitcher_release_speed+1.233+3.401+2.168--
pitcher_strikeout_rate+1.642+3.341+1.699--
pitcher_walk_rate+2.200+1.016-1.184--
pitcher_whiff_rate+1.568+2.911+1.343--
pitcher_whiff_rate_breaking-0.292+0.956+1.249--
pitcher_whiff_rate_fastball+0.971+4.000+3.030--
pitcher_whiff_rate_vs_lhh+1.435+4.000+2.565--
pitcher_whiff_rate_vs_rhh+1.307+0.914-0.393--

Lineups and their strongest readings

BatterPosProj PAComposite zThree strongest KPI readings
LAD lineup vs Jacob Misiorowski
1. Mookie BettsSS4.65+0.592whiff_rate_vs_lhp Very good (+2.45), whiff_rate_vs_fastball Very good (+1.95), strikeout_rate Very good (+1.91)
2. Freddie Freeman1B4.55+0.191whiff_rate_vs_offspeed Very good (+1.33), contact_xwoba_vs_breaking Good (+1.04), contact_xwoba Good (+0.83)
3. Will SmithC4.45+0.775ground_ball_rate_vs_fastball Very good (+2.08), contact_xwoba_vs_fastball Very good (+1.81), ground_ball_rate_vs_slider Very good (+1.70)
4. Shohei OhtaniDH4.35+0.902contact_xwoba_vs_fastball Very good (+2.84), contact_xwoba Very good (+2.75), barrel_rate_vs_fastball Very good (+2.67)
5. Teoscar HernándezLF4.25+0.079whiff_rate_vs_breaking Poor (-1.43), barrel_rate_vs_lhp Good (+1.34), contact_xwoba Good (+1.24)
6. Max Muncy3B4.15+0.515ground_ball_rate_vs_fastball Very good (+1.89), contact_xwoba_vs_fastball Very good (+1.71), barrel_rate_vs_fastball Very good (+1.67)
7. Andy PagesCF4.05+0.387ground_ball_rate_vs_slider Very good (+1.31), whiff_rate_vs_lhp Good (+0.90), whiff_rate_vs_offspeed Good (+0.79)
8. Kyle TuckerRF3.98+0.162ground_ball_rate_vs_slider Very good (+2.24), barrel_rate_vs_offspeed Poor (-1.42), walk_rate Very good (+1.35)
9. Enrique Hernández2B3.90-0.026whiff_rate_vs_lhp Below average (-0.59), barrel_rate_vs_offspeed Average (+0.00), ground_ball_rate_vs_slider Average (+0.00)
MIL lineup vs Tarik Skubal
1. Jackson ChourioLF4.65+0.527exit_velocity_vs_fastball Very good (+1.55), hard_hit_rate_vs_fastball Very good (+1.49), barrel_rate_vs_lhp Very good (+1.44)
2. Brice Turang2B4.55+0.313hard_hit_rate_vs_breaking Very good (+1.68), walk_rate Very good (+1.56), contact_rate_vs_breaking Very good (+1.39)
3. William ContrerasC4.45+0.312contact_rate_vs_breaking Good (+1.28), strikeout_rate Good (+1.24), exit_velocity_vs_fastball Good (+0.97)
4. Jake Bauers1B4.35+0.658walk_rate Very good (+2.75), contact_xwoba Very good (+1.77), hard_hit_rate_vs_breaking Very good (+1.68)
5. Andrew VaughnDH4.25+0.040whiff_rate_vs_fastball Very good (+1.28), contact_xwoba_vs_breaking Poor (-1.23), barrel_rate_vs_breaking Below average (-1.09)
6. Garrett MitchellCF4.15+0.227contact_xwoba_vs_breaking Very good (+2.32), whiff_rate_vs_offspeed Poor (-2.25), contact_xwoba Very good (+2.20)
7. Cooper PrattSS4.05-0.267hard_hit_rate_vs_fastball Below average (-1.14), home_run_rate Below average (-1.13), ground_ball_rate_vs_fastball Below average (-1.07)
8. Luis LaraRF3.98-0.291ground_ball_rate_vs_slider Poor (-2.26), whiff_rate_vs_lhp Very good (+1.38), barrel_rate_vs_lhp Poor (-1.37)
9. Joey Ortiz3B3.90-0.222ground_ball_rate_vs_slider Poor (-1.42), contact_rate_vs_breaking Good (+1.23), ground_ball_rate_vs_fastball Below average (-1.16)
Edge is home club minus away club on that KPI, in standard deviations, after plate-appearance weighting. Spread is the dispersion inside a club, which a mean alone discards and which is roughly three times larger than the between-game variation of the mean itself.
generated 2026-10-12T09:15:27.543519+00:00 · kpi_slate_report_v3