Yimi García is a Toronto Blue Jays RP projected for 0 fantasy points on 0 IP, 0 K, 3.9 ERA, 1.427 WHIP by the managr projection engine. Monte-Carlo outcome odds put an elite season at 0% and a bust at 15%.
Projection snapshot: 2026-10-18. Rebuilt daily.
Across 8 seasons with meaningful innings, García's biggest strikeout year came in 2023 at age 32: 79 strikeouts over 66 innings, with 3 wins. Innings across 2023, 2024 and 2025 ran 66, 39 and 21, a drop in workload worth weighing against the forecast.
García's projected range runs from a 93-point floor to a 132-point upside, around a 111-point median: a spread of 39 points, or 35% of the median.
By statistical profile, the closest comparisons to García on the board are Clarke Schmidt, Tylor Megill and Shelby Miller.
At 35, García is at the age where velocity and durability become the leading risks for pitchers.
This report is generated from the managr engine's 2026-10-18 snapshot and rebuilt daily.
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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.
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Live pipeline status and data freshness.
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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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MVP, Cy Young, Rookie of the Year - historical winners with their stats, plus model-predicted current-season winners.
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