16 pitchers with a real velocity change, 8 hitters with a measurable skill shift.
The inputs, not the results. A pitcher who has lost velocity is a different pitcher before his ERA catches up, and a hitter whose contact quality has shifted is a different hitter before his batting average agrees.
Year-over-year on the primary fastball, for pitchers with at least 100 of them in both seasons. Velocity is the earliest and least ambiguous signal an arm gives you: it moves for physical reasons and it stabilises faster than any result stat. A full mile per hour is roughly the tenth percentile of the league, real, not drift.
| Pitcher | Pos | Pitch | 2025 | 2026 | Change | Whiff% | Our rank |
|---|---|---|---|---|---|---|---|
| John King | RP | SI | 93.0 | 90.4 | -2.6 mph | 16.3 | #455 |
| Lucas Giolito | SP | FF | 93.3 | 90.8 | -2.5 mph | 16.7 | #1318 |
| Jeremiah Estrada | RP | FF | 97.9 | 95.8 | -2.1 mph | 27.3 | #769 |
| Bailey Ober | SP | FF | 90.3 | 88.2 | -2.1 mph | 15.6 | #298 |
| Bryan Abreu | RP | FF | 97.3 | 95.3 | -2.0 mph | 25.6 | #473 |
| Luis García | RP | SI | 96.9 | 95.0 | -1.9 mph | 9.4 | #786 |
| Kirby Yates | RP | FF | 92.8 | 90.9 | -1.9 mph | 31.7 | #670 |
| Reid Detmers | SP+RP | FF | 95.8 | 94.1 | -1.7 mph | 22.3 | #75 |
The same measure the other way. Added velocity on a starter often means a mechanical change or a role change; on a reliever it is usually the shorter outings doing the work.
| Pitcher | Pos | Pitch | 2025 | 2026 | Change | Whiff% | Our rank |
|---|---|---|---|---|---|---|---|
| Kyle Hart | RP | SI | 91.4 | 93.8 | +2.4 mph | 9.6 | #674 |
| Antonio Senzatela | RP | FF | 95.0 | 97.3 | +2.3 mph | 29.3 | #426 |
| Chris Murphy | RP | FF | 94.3 | 96.3 | +2.0 mph | 29.0 | #810 |
| Camilo Doval | RP | SI | 96.6 | 98.6 | +2.0 mph | 18.1 | #678 |
| Yoendrys Gómez | SP+RP | FF | 93.8 | 95.6 | +1.8 mph | 24.6 | #281 |
| Adrian Morejon | RP | SI | 97.7 | 99.5 | +1.8 mph | 19.6 | #316 |
| Chad Patrick | SP+RP | FC | 87.9 | 89.7 | +1.8 mph | 31.3 | #266 |
| Ryan Yarbrough | RP | FC | 83.2 | 84.9 | +1.7 mph | 18.8 | #624 |
Contact quality and swing decisions, the parts of a hitting line that settle before the results do.
| Player | Pos | Change | What moved | Score | Our rank |
|---|---|---|---|---|---|
| Jordan Walker | OF | Major Change | xwOBA +0.077; xSLG +0.119; xBA +0.070 | 63 | #48 |
| Cal Raleigh | C/DH | Major Change | xwOBA −0.078; xSLG −0.175; xBA −0.051 | 63 | #198 |
| JJ Bleday | OF | Major Change | xwOBA +0.088; xSLG +0.113; xBA +0.057 | 63 | #196 |
| George Springer | DH/OF | Major Change | xwOBA −0.093; xSLG −0.185; xBA −0.057 | 63 | #165 |
| Nathaniel Lowe | 1B | Major Change | xwOBA +0.047; xSLG +0.087; xBA +0.045 | 62 | #481 |
| Blaze Alexander | 3B/OF/2B/SS | Major Change | xwOBA +0.056; xSLG +0.093; xBA +0.097 | 62 | #365 |
| Brandon Nimmo | OF | Major Change | xwOBA +0.049; xSLG +0.079; xBA +0.038 | 62 | #201 |
| Salvador Perez | DH/C/1B | Major Change | xwOBA −0.058; xSLG −0.121; xBA −0.039 | 62 | #169 |
Bailey Ober is the one I would act on. His fastball never had margin: 90.3 was already at the bottom of what works as a primary four-seamer, and 88.2 is a different pitch entirely. Everything Ober does depends on the four-seamer playing up in the zone against hitters who have to respect it, and at 88 the swing decisions that make his profile work start going the other way. The mechanism is not mystery, it is that a fastball loses its function before it loses its label. Rank 298 says the projection still sees a usable back-half starter, and 298 is not a wild number for a pitcher with his strike-throwing history. But that rank is built on what he has done, and the velocity is telling you the input has changed.
The case against me is real and it is the same case that has burned people on Ober before. He has always been slow and always been fine, because his release height and extension make the pitch behave like it is faster than the gun says. Two mph off a pitcher whose value was never velocity is less damaging than two mph off a reliever who lives at 97. Spring readings run cold. If the number is a March artifact of a slow build, he throws 90 in May and nothing here mattered. So the falsifier is simple and it arrives quickly: check his four-seamer in his third and fourth starts of the season. If it is back to 90, ignore this entirely and draft him at 298 happily. If it is still 88, his home run rate goes where it went in his worst months and you are rostering a matchup arm. I would let someone else pay the 298 price.
Reid Detmers is the more expensive version of the same question and I am less worried. Losing 1.7 off 95.8 leaves him at 94.1, which is still a fastball, and a rank of 75 is being driven by the strikeout upside and the possibility of leverage innings rather than by a specific tick on the radar gun. A reliever who misses bats with breaking stuff can give back two mph and keep most of the value. Bryan Abreu at 95.3 is in the same bucket. Both of those declines cost something at the margins. Neither changes what you do on draft day.
The change that will amount to nothing is Ryan Yarbrough's. A cutter going from 83.2 to 84.9 is a rounding error on a pitch that works because of location and sequencing, and rank 624 already prices him as an arm you stream and forget. Camilo Doval touching 98.6 is louder and still probably empty: he has always thrown hard, his problems have been command and role, and velocity has never been the thing standing between him and value. Do not pay up for a gain in the one input he already had.
On the hitters, remember that none of this is in the rankings, so the signal is yours to use rather than something already baked in. Springer's collapse is the biggest: 185 points of xSLG and 93 of xWOBA is not noise at his age, and it is the sort of decline that ends a DH's playing time by June. Raleigh's drop is nearly as large and matters more because catcher scarcity will keep his price high regardless. I would sell Raleigh into that price. On the other side, Bleday adding 88 points of xwOBA with a full-time job is the cheapest add on this page, and if he is still starting in late April the bat is real. The cost of being wrong is a bench spot.
Velocity is the most trustworthy line here. It stabilises quickly, it moves for physical reasons, and a starter who has genuinely lost a mile per hour is usually telling you something before the ERA does. It is measured on the primary fastball only, and only for arms with a real sample in both seasons.
The hitter section is a descriptive layer and is not part of our projection. It has not been validated into the rankings and we do not pretend otherwise: where it and the board disagree, that is something to watch rather than a correction to either.
Only medium-confidence hitter signals appear. Roughly three quarters of that feed comes back low-confidence on limited sample, and a small reading off a handful of batted balls is noise wearing a decimal point.
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.