Eric Wagaman
42 PA · sample confidence ×0.32 · full player page
1 · What changed (2026 vs 2025)
Moving against him
Hard-hit rate−24.3%
Avg exit velocity−7.3 mph
Squared-up rate−11.3%
AVG−.088
xBA−.063
Zone contact−10.0%
xSLG−.079
Max exit velocity−4.4 mph
xwOBA−.029
Whiff rate+4.6%
SLG−.054
Fast-swing rate−7.8%
wOBA−.027
Bat speed−1.1 mph
In his favor / neutral
Avg launch angle−7.7°
Ground-ball rate+7.8%
Opposite-field rate+6.2%
Fly-ball rate−5.9%
Strikeout rate+4.3%
Walk rate+3.3%
Swing rate−4.9%
2 · Why — ranked hypotheses
1. Genuine bat-speed decline (strength, health, or age)
19%Causal path: Strength / conditioning → Bat speed → Contact quality → Expected outcomes
- • Bat speed −1.1 mph vs last season
- • Avg exit velocity −7.3 mph vs last season
- • Max exit velocity −4.4 mph vs last season
- • Hard-hit rate −24.3% vs last season
- • Fast-swing rate −7.8% vs last season
Cannot distinguish strength loss from sub-clinical injury with public data — flag for training staff, do not self-diagnose.
2. Timing issue — late to the ball
14%Causal path: Swing/pitch mechanics → Swing length → Batted-ball profile → Expected outcomes
- • Opposite-field rate +6.2% vs last season
- • Ground-ball rate +7.8% vs last season
- • Whiff rate +4.6% vs last season
- • Avg exit velocity −7.3 mph vs last season
Against / absent: Bat speed −1.1 mph vs last season · d_timing_late_pct (no data)
Mechanics themselves are unobserved in public data; inferred from the batted-ball fingerprint.
Unexplained / unobserved causes: 67% — confidence is deliberately capped; public data cannot see every layer.
3 · What the coach does tomorrow
Flag to strength and training staff for workload/strength review
Public data cannot separate strength loss, fatigue, or sub-clinical injury — that determination belongs to staff with medical context.
Track bat speed weekly against this baseline
Establishes whether the decline is a trend or a blip before intervening.
Video review, current vs last season, synced at contact
Compare side views at contact point. Public data flags the fingerprint; video confirms or rejects the mechanical story before anything is changed.
Actions follow the top hypothesis; if video review rejects it, fall to the next.
Data gaps
- • Biomechanics (Hawkeye), TrackMan, and Blast Motion are team-internal — the mechanics layer is inferred from its downstream fingerprint, never observed.