Jose Herrera is a C projected for 0 fantasy points on 0 R, 0 RBI, 0 SB by the managr projection engine. Monte-Carlo outcome odds put an elite season at 0% and a bust at 17%.
Projection snapshot: 2026-10-18. Rebuilt daily.
Across 4 seasons of regular playing time, Herrera's most productive came in 2025 at age 28: 43 total bases, 17 RBI and 21 runs over 204 plate appearances. Plate appearances across 2023, 2024 and 2025 ran 120, 114 and 204, a rising workload.
In 2025, Herrera's results tracked the quality of contact closely: a .251 wOBA against a .237 expected wOBA.
Herrera's 2025 batted-ball profile: an 83.9 mph average exit velocity, a 0.8% barrel rate and 22.6% of batted balls struck at 95 mph or harder. Herrera struck out in 23.0% of plate appearances and walked in 11.3%, chasing 15.5% of pitches outside the zone. The average swing measured 66.9 mph.
Herrera's projected range runs from a 0-point floor to a 22-point upside, around a 55-point median: a spread of 22 points, or 40% of the median.
By statistical profile, the closest comparisons to Herrera on the board are Nelson Velázquez, Vaughn Grissom and Riley Adams.
At 29, Herrera is in the age range where hitters typically hold their skills.
This report is generated from the managr engine's 2026-10-18 snapshot and rebuilt daily.
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Run rankings first.
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Studies and awards - the research-side surfaces of the managr platform.
Live snapshot of the projection system.
Backtest, parsimony, ablation, and benchmark - one synthesized report. Output renders in Validation.
Final Value = Raw Projection × MasterConfidence × TeamContext. Each layer answers one question - no overlap.
Recency weighting: prior seasons contribute by recency (more recent = more weight) and sample size (more PA = more weight).
Shrinkage: observed rates regress toward position-specific population means by an amount inversely proportional to sample size. Catches small-sample outliers.
Quality-of-contact adjustments: xwOBA, barrel rate, and bat-tracking metrics replace luck-driven outcome stats with skill-driven ones.
PT modeling: projected PA is anchored to workload tier (full-time, regular, platoon, backup catcher) using historical role distributions.
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