J.C. Escarra is a New York Yankees C projected for 28 fantasy points on 9 R, 8 RBI, 0 SB by the managr projection engine. Monte-Carlo outcome odds put an elite season at 0% and a bust at 7%.
Projection snapshot: 2026-10-18. Rebuilt daily.
J.C. Escarra's 2026 projection is built on 93 plate appearances in a limited role. Escarra bats left-handed.
Across 2 seasons of regular playing time, Escarra's most productive came in 2025 at age 30: 28 total bases, 11 RBI and 5 runs over 98 plate appearances. Plate appearances across 2025 and 2026 ran 98 and 92.
Escarra's projected range runs from a 26-point floor to a 193-point upside, around a 28-point median: a spread of 167 points, or 596% of the median.
By statistical profile, the closest comparisons to Escarra on the board are Nick Yorke, P.J. Higgins and Michael Helman.
At 31, Escarra is entering the ages where hitting skills have historically begun to decline.
This report is generated from the managr engine's 2026-10-18 snapshot and rebuilt daily.
Curated picks where the model has the highest decision conviction. Updated every render.
Run rankings to populate Market Edge.
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.
Monte Carlo: N simulated seasons per player using projected mean + uncertainty, producing P10 / P50 / P90 distribution and bust%.
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VAR: Value Above Replacement at the player's primary position. Replacement levels are floored per position so SS scarcity doesn't artificially inflate stable middle infielders.
Tune component weights against historical seasons. Stored in session.
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Walk-forward backtests, calibration quality, and benchmark comparisons. Run walk-forward first - most tools depend on its pair pool.
Projects every historical batter-season from prior data only. Reports RMSE, MAE, Spearman ρ, hit rates. Populates the pair pool other validators use.
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The most important governance tools. Output renders in Validation.
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Last known status of each underlying data source.
Source status will appear once data has been refreshed.
Issues from the most recent data refresh, if any.
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Findings article + all-time top-100 performer leaderboard from every World Baseball Classic (2006-2026).
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Active player injuries, refreshed from upstream sources.
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