Decline in baseball is predictable. The data almost always sees it coming months before ERA or batting average confirms it. The FADE Score was built to close that gap.
The FADE Score (Forecasting Athletic Decline and Erosion) is a proprietary 0-100 framework developed by The Baseball Nerd that measures regression risk for MLB players aged 28 and older. It combines stuff erosion, command decay, durability trends, and efficiency collapse into a single score. A score above 72 places a player in the high-risk tier, historically associated with second-half ERAs above 4.50 and significant offensive production drops. Higher score means higher risk. The box score hasn't caught up yet. The model says it will.
ERA lies. Not intentionally, and not always, but it lies by omission. It tells you what happened, not what is about to happen. A pitcher can post a 3.20 ERA through the first half while his velocity is down a tick and a half, his chase rate is cratering, and his strand rate sits at 84% on a career average of 73%. The ERA looks fine. The model is screaming.
The problem crystallized watching Justin Verlander's 2019 season. Through mid-May, Verlander was historically dominant, and nobody in the analytical community was sounding any alarms. But his pitch movement metrics were subtly down across the board, his hard-hit rate allowed had climbed four points, and he was 36 years old with 3,000 innings of mileage. The underlying picture was different from the surface one. By August, the cracks were visible. By the following year, he was in Houston recovering from Tommy John surgery.
No framework existed to surface those signals before they became box score reality. The FADE Score was built to be that framework.
"The most dangerous player in fantasy baseball is the one whose ERA looks fine and whose FADE Score says otherwise. That gap between surface and signal is where real edges live." Pete Dwyer, The Baseball Nerd
Every FADE Score is built from four independent pillars, each scored separately and combined into the final 0-100 output. A high score on any single pillar is a yellow flag. High scores across multiple pillars is when the model raises the sell signal.
The FADE Score runs from 0 to 100, where a higher number indicates higher regression risk. Three tiers carry specific historical probability estimates based on validation against past seasons.
| Score | Tier | Risk Level | What It Means |
|---|---|---|---|
| 72 and above | High Risk | Sell High | Second-half ERA historically above 4.50. Surface stats masking the decline. Sell before the market knows. |
| 55 to 71 | Elevated Risk | Watch Closely | One or two pillars trending wrong. Not a hard sell yet, but the trajectory demands weekly monitoring. |
| Below 55 | Stable | Hold or Buy | Underlying metrics are holding. No meaningful deterioration detected across the four pillars. |
Unlike the SPARK Score, where a higher number is desirable, a high FADE Score is a warning. A player scoring 80 on FADE is not performing well. He is performing on borrowed time. The ERA or batting average may not reflect it yet. The underlying data says it will.
Before publishing a single FADE Score, months were spent retroactively calculating scores for players who had already declined, testing whether the model would have identified the regression in advance. The results validated the framework.
The most instructive case in FADE Score history is the one that felt contrarian in the moment. In May 2019, Justin Verlander was arguably the best pitcher in baseball. His ERA through mid-May was sub-2.00. He was the betting favorite for the AL Cy Young. No mainstream analytical outlet was raising concerns.
But the FADE Score had him at 78. The four pillars told a specific story: his fastball was averaging 94.6 mph against a 2018 average of 95.9. His whiff rate on the curveball, his out pitch, was down eight points from the prior year. His innings pitched over the previous three seasons sat at the top percentile of cumulative workload for pitchers his age. And his strand rate had been running seven points above his career norm, meaning the ERA was being propped up by sequencing luck.
None of those individual data points was damning on its own. Four of them registering simultaneously at age 36 was the signal the ERA couldn't show.
The model was built to surface that combination before it became a box score reality. In Verlander's case, the reality came in the form of Tommy John surgery. The FADE Score identified the risk profile when it was still a risk profile, not a diagnosis.
The age threshold is not arbitrary. Research on MLB pitcher and hitter aging curves consistently shows that meaningful physical decline most reliably begins in the 28-32 range, with the steepest drops typically occurring between 32 and 35. Before 28, normal year-to-year variation tends to overwhelm the decline signal. After 28, the trajectory becomes more predictable.
The FADE Score is not designed to penalize players simply for being older. A 31-year-old pitcher with stable velocity, improving command, and low workload accumulation will score below 55. The model scores risk factors, not birthdays. Age is the lens through which the pillar scores are interpreted, not a penalty applied independently.
Players aged 19 to 27 who show regression signals are evaluated under the companion SPARK Score framework, which accounts for developmental regression as a normal part of the maturation curve rather than a decline signal.
The two frameworks are designed to work together. SPARK identifies who is about to rise. FADE identifies who is about to fall. Together they form the Baseball Nerd Analytics Suite.
For fantasy players, a FADE Score above 72 is the clearest sell-high signal the model produces. The player's current ERA or batting average may look fine. That is the point. You are selling the surface stat while it still has value, before the underlying data becomes box score reality and the market reprices him accordingly.
For the analytically-minded fan, FADE scores provide a framework for skepticism about veteran players that goes beyond small sample concerns. A pitcher with a 3.40 ERA and a FADE Score of 76 is not a safe hold. He is a performance being propped up by luck, aging on a timeline the surface numbers aren't yet reporting.
For understanding roster construction, teams carrying multiple high-FADE players in their rotation or lineup are accumulating risk that won't be visible in their current record. FADE scores at the team level are a leading indicator of second-half collapses. Several division races have been decided by the quiet accumulation of aging players whose early-season surface stats masked a structural fragility the model identified in April.
What does FADE stand for?
Forecasting Athletic Decline and Erosion. The name reflects what the model measures: the gradual erosion of the physical and mechanical qualities that produce performance, before that erosion shows up in the traditional stat line.
Is the FADE Score the same as "fading" in sports betting?
No. In sports betting, "fading" means betting against the public or popular opinion. The FADE Score is an unrelated baseball analytics framework. The two share a word and nothing else.
Does the FADE Score apply to hitters as well as pitchers?
Yes. All four pillars apply to both. For hitters, Stuff Erosion measures bat speed and hard-hit rate deterioration, Command Decay maps to contact quality and chase rate changes, and Efficiency Collapse tracks BABIP trends and xwOBA divergence from surface average. The pillar names are pitcher-centric but the underlying metrics adjust by position.
How often are FADE Scores updated?
Scores are updated monthly during the regular season, with weekly highlight articles focused on the highest-risk players and notable movers. Full rankings are published inside the Baseball Nerd Analytics Suite.
Can a player recover from a high FADE Score?
Yes. The two historical misses in the FADE Score validation both involved significant mechanical intervention mid-season. A pitcher who rebuilds his pitch mix, recovers velocity through a healthy offseason, or substantially changes his approach can see his score improve. The model updates monthly to capture those changes. A high score is a risk flag, not a permanent verdict.
Where can I find current FADE Score rankings?
Full rankings, monthly updates, and player-by-player breakdowns are published inside the Baseball Nerd Analytics Suite on Substack. Weekly highlight articles are published on thebaseballnerd.com.
The complete 0-100 scores for every tracked player, monthly updates as the season develops, and the SPARK Score leaderboard for breakout candidates. Numbers Not Feelings.
Access the Suite →