192 roster moves in the last 3 days, 17 involving rosterable players.
192 roster moves in the last 3 days, 146 trade, 30 recalled, 16 selected. 81 of them involve a player the engine ranks at all, and 17 clear the value of the last rostered player in a 12-team league. That gap is the point of this piece: a transaction wire is not a fantasy story until someone checks which names on it you could actually use.
Ranked above roster-relevant value. A trade changes fantasy value through playing time and park, and the engine already prices both, so its own valuation is the right way to sort the wire.
| Player | Pos | Team | Move | Date | Value | Our rank |
|---|---|---|---|---|---|---|
| Tarik Skubal | SP | DET | Trade | Aug 2 | 412 | #9 |
| Luis García Jr. | 1B/2B | WSH | Trade | Aug 3 | 387 | #33 |
| Luis Arraez | 2B/DH/1B | SF | Trade | Aug 3 | 327 | #30 |
| Jo Adell | OF | LAA | Trade | Aug 3 | 283 | #235 |
| Casey Mize | SP | DET | Trade | Aug 3 | 282 | #147 |
| Liam Hicks | DH/C/1B | TB | Trade | Aug 3 | 251 | #22 |
| Taylor Ward | OF/DH | BAL | Trade | Aug 3 | 251 | #139 |
| Foster Griffin | SP+RP | CLE | Trade | Aug 3 | 227 | #57 |
| Robbie Ray | SP | SD | Trade | Aug 3 | 205 | #202 |
| Kevin Gausman | SP | CHC | Trade | Aug 2 | 201 | #251 |
| Nathaniel Lowe | 1B | CIN | Trade | Aug 3 | 183 | #481 |
| Daulton Varsho | OF | HOU | Trade | Aug 3 | 181 | #314 |
On the board, but below the line where a 12-team league rosters anyone. These are the ones to revisit if playing time opens up.
| Player | Pos | Team | Move | Date | Value | Our rank |
|---|---|---|---|---|---|---|
| Luke Weaver | RP | NYM | Trade | Aug 3 | 123 | #366 |
| Adley Rutschman | C/DH | BAL | Trade | Aug 3 | 119 | #72 |
| Luis Castillo | SP | SEA | Trade | Aug 2 | 114 | #560 |
| Lars Nootbaar | OF | ARI | Trade | Aug 3 | 111 | #645 |
| Braxton Garrett | P | CHC | Trade | Aug 3 | 102 | #729 |
| Tyler Wells | SP+RP | BAL | Trade | Aug 3 | 96 | #336 |
| Brenton Doyle | OF | COL | Trade | Aug 3 | 94 | #614 |
| Tyler Mahle | SP | SF | Trade | Aug 2 | 93 | #438 |
111 further moves involved players the engine does not rank. They are counted here and deliberately not listed, absence from the board is itself a projection, not an oversight.
Adley Rutschman at 119 is the line in this table a smart reader should stop on. He sits below 134, meaning our valuation says the last rostered catcher in a 12-team league is roughly his equal, and he just got moved to Boston in a package that also included Jake Rogers. Two catchers going the same direction is the part that matters. Value that low for a hitter of his profile is not a talent verdict, it is a playing time verdict: the projection is pricing shared work behind the plate, and a share of a share does not fill a category line. If Boston runs him out five days a week and Rogers is the backup, 119 is badly wrong and you are buying a top-six catcher at replacement cost. The case against is simply that the number already knows something you do not. Rutschman's rank has not been dragged down by park or league, and the trade itself, a contending club spending on a second catcher, is evidence the buyer expects a rotation rather than a starter.
So name the falsifier. Watch the first two weeks of lineup cards in Boston. If he starts eight or nine of the first twelve games, add him wherever he is available and treat 119 as stale. If he is catching three of every seven and taking occasional DH turns, the number is right and you leave him alone. The cost of being wrong on the aggressive side is a bench spot; the cost of being wrong on the passive side is a starting catcher.
Skubal at 412 is the biggest value in the table and the one that changes the least. A pitcher priced that far above everyone else here is priced on his arm, not his address, and a move to Los Angeles does not shift skills. What it can shift is the win column and the run support behind him, and neither is visible in this data, so I will not pretend to quantify it. Hold, start, ignore the noise. The same logic runs the other way through Luis Castillo at 114, which is the only starter in the group whose destination looks like an active negative: a 114 is already a marginal roster spot in a 12-team league, and nothing about the change of scenery argues for the benefit of the doubt.
One housekeeping point that affects how you read every row above. Our team labels lag the feed. Skubal is still tagged DET, Taylor Ward is still tagged BAL, and both were traded away in these transactions. The valuations are not broken by that, because they are built on the player, but do not use the position-and-team string in the table as a lineup guide this week.
As for the beneficiary nobody in the transaction is named after, I have to be straight with you: this feed carries only trades, recalls and contract selections. No demotions, no DFAs. That means the second-order move, the guy who inherits the vacated at-bats, is invisible here by construction. Baltimore just shipped out both of its catchers and Ward on the same day, and someone is absorbing a large block of plate appearances in that lineup. I cannot tell you who from this data, and guessing a name would be worse than saying so. The action is to go look at the Orioles' first post-deadline lineup card yourself and add whoever is hitting in Ward's old spot before the rest of your league notices. The valuation table will catch up. It will not catch up this week.
Value is the replacement-adjusted number the boards sort on. Roughly 134 is the 300th-ranked player, so anything below it is a free agent in a standard league however loud the transaction was.
A trade matters to fantasy only insofar as it changes playing time or ballpark. The engine already prices both, which is why moves are ranked by valuation rather than by how prominent the name is.
This covers trades, recalls and contract selections, which is everything the transaction feed carries. Demotions, designations for assignment and suspensions are not in the source data and are 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.
-
-
-
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.
-
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.
-
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 |
|---|
Enter players for each side, one per line. Values use your scoring weights and injury-adjusted projections.
| Player | Pos | ProjPts | Status |
|---|
| Player | Pos | ProjPts | Status |
|---|
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.