8 of 26 hitters moved up the order, 8 of 26 moved down.
Batting order is playing time, and playing time is most of what a hitter is worth. The gap between batting first and batting eighth is roughly one plate appearance a game, about thirty a month, and no rankings page shows it, because a ranking assumes the role it was built with. These are the 52 regulars whose spot in the order has actually moved over the last week, out of 267 with enough starts to judge.
Hitting higher than they were. More plate appearances, more runs, and more chances with men on base.
| Player | Pos | Slot now | Slot before | Move | Starts (7d) | Our rank |
|---|---|---|---|---|---|---|
| Henry Bolte | OF | 3.0 | 7.5 | up 4.5 | 6 | #387 |
| Brady House | 3B | 3.0 | 7.0 | up 4.0 | 4 | #509 |
| Jackson Holliday | 2B | 3.3 | 7.2 | up 3.9 | 6 | #237 |
| Chase Meidroth | 2B/SS | 3.3 | 6.8 | up 3.4 | 3 | #167 |
| Willy Adames | SS | 2.5 | 5.9 | up 3.4 | 4 | #226 |
| Derek Hill | OF | 4.2 | 7.5 | up 3.2 | 4 | #670 |
| Wade Meckler | OF | 3.5 | 6.6 | up 3.1 | 6 | #580 |
| Jung Hoo Lee | OF | 1.5 | 4.6 | up 3.1 | 4 | #115 |
Dropped in the order. The at-bats go somewhere, and it is usually the first sign a role is being reconsidered.
| Player | Pos | Slot now | Slot before | Move | Starts (7d) | Our rank |
|---|---|---|---|---|---|---|
| Anthony Seigler | 2B/3B | 7.5 | 1.7 | down 5.8 | 4 | #557 |
| Sam Antonacci | OF/2B/3B | 7.2 | 1.7 | down 5.6 | 4 | #113 |
| Lane Thomas | OF | 7.3 | 2.8 | down 4.5 | 3 | #356 |
| Christian Yelich | DH | 6.2 | 2.3 | down 4.0 | 4 | #220 |
| Cedric Mullins | OF | 7.0 | 4.3 | down 2.7 | 3 | #293 |
| Liam Hicks | C/DH/1B | 6.2 | 3.7 | down 2.5 | 4 | #24 |
| Brayan Rocchio | SS/2B | 7.0 | 4.7 | down 2.3 | 5 | #162 |
| Luis Arraez | 2B/DH/1B | 4.0 | 1.8 | down 2.2 | 6 | #28 |
Slot is the average spot in the batting order across games actually started. Pinch-hit appearances are excluded, they have no meaningful place in the order and would move an average around at random.
The bar for appearing here is the tenth and ninetieth percentile of everyone with enough starts, recomputed each run. On this window the median change was exactly zero, which is why a player at the tail has genuinely been moved rather than having drifted a little.
Why a manager made a move is not in this data. An injury above them in the order, a platoon, a hot week, all produce the same row, and the cause is not guessed at here.
Curated picks where the model has the highest decision conviction. Updated every render.
Run rankings to populate Market Edge.
Run rankings first.
Mark a player as drafted to get a recommendation.
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%.
Confidence layers: four orthogonal multipliers: Roster (depth chart), Role (PT certainty), Sample (career PA), Market (consensus alignment). The Audit tab shows all four for every player.
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.
Walk-forward over historical seasons. Reports RMSE, MAE, Spearman ρ, top-N hit rates.
Distribution, uncertainty, per-archetype performance, calibrated tiers, draft sim.
Load any rival projection or ADP source. Auto-detects player_name + rank / adp / projected.
Where the model finds value the market is missing.
Curated picks from current rankings.
Where the model has measurable advantage.
The safety layer. Realism, false-confidence, forensics - what to remove.
The most important governance tools. Output renders in Validation.
Per-era ablation, error clusters, bias, correlations, removals. Each tells you what to remove. Run walk-forward first.
The smallest model that retains predictive power. Every feature beats the burden of proof.
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.
Predictions from the current 2026 projection model. Top candidates per award based on projected fantasy points + advanced-stat underlying. League assignment from current team.
Coaching rosters for every MLB team plus a multi-year Fantasy Points Above Average ranking of every MLB coach.
Findings article + all-time top-100 performer leaderboard from every World Baseball Classic (2006-2026).
A growing collection of fantasy baseball studies. Each card opens a detail page with the methodology, the data sources, and (where the data exists today) live computed findings.
Active player injuries, refreshed from upstream sources.
| Player | Team | Pos | Status | Explanation | Replacement |
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Enter players for each side, one per line. Values use your scoring weights and injury-adjusted projections.
| Player | Pos | ProjPts | Status |
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| Player | Pos | ProjPts | Status |
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Every signal, formula, and data source the model uses for player evaluation - organized by product.
Configure your draft session. This stays on this device only.