1. Chasing Last Year's Touchdown Outliers
One of the most common mistakes is drafting a player based on a surprisingly high touchdown total from the previous season. Touchdowns are notoriously volatile and often subject to regression to the mean, a statistical concept where extreme results tend
to move closer to the average over time. A receiver who caught 14 touchdowns on 70 catches is a prime candidate to score far fewer the next year, even if his role is the same. Instead of drafting based on last year's fluky touchdown count, focus on more stable and predictive metrics like target share, red-zone opportunities, and air yards. These numbers show a player's actual usage and opportunity within an offense, which is a much better indicator of future production than a touchdown total that was likely inflated by good fortune.
2. Prioritizing Efficiency Over Volume
It’s easy to get seduced by a running back’s shiny 5.8 yards-per-carry average. But if that efficiency came on just 80 carries all season, it’s virtually meaningless for predicting next year's fantasy success. Volume is, and always will be, king in fantasy football. A workhorse running back who handles 250-plus touches at a decent 4.3 yards per carry is infinitely more valuable than an efficient backup with a limited role. Efficiency stats are often noisy and can fluctuate wildly on small sample sizes. Volume stats like touches, targets, and snap percentage are a direct measure of opportunity. Always build your roster around players who are guaranteed a heavy workload. High efficiency is a bonus, not the foundation of a solid pick.
3. Confusing Correlation With Causation
This is a classic logic trap that snares countless fantasy managers. You might notice that a certain quarterback always seems to have huge games on Monday Night Football and conclude he's a clutch primetime performer. In reality, it might just be a coincidence, or those primetime games may have been against teams with terrible pass defenses. This is correlation, not causation. The time of the game doesn't cause the performance. A more common fantasy example is assuming a team running the ball more causes them to win, when in fact, teams that are already winning tend to run the ball more to protect their lead. Don't make roster decisions based on these spurious relationships. Dig deeper to find the real, underlying drivers of production, like opponent weaknesses, game script, or offensive scheme.
4. Ignoring Game Script and Offensive Context
A player's talent doesn't exist in a vacuum. The context of their team and the likely flow of their games—the game script—is hugely important. A fantastic wide receiver on a run-heavy team with an elite defense might see his opportunities limited because his team is often protecting a lead in the second half. Conversely, a less talented receiver on a team with a bad defense that is constantly playing from behind can rack up fantasy points in garbage time. When evaluating players, think about their environment. Does their team project to be in a lot of shootouts? Are they likely to be trailing often, forcing them to throw? This context can often matter more than individual talent alone.
5. Using Raw Defensive Points Against
When deciding on weekly matchups, one of the first places managers look is how many fantasy points a defense allows to a certain position. While it's a start, it can be misleading. A defense might have great numbers against wide receivers simply because they played a string of run-heavy or incompetent offenses. A more sophisticated approach is to use advanced, opponent-adjusted metrics like DVOA (Defense-adjusted Value Over Average). These stats provide a much clearer picture of how a defense actually performs by factoring in the quality of the offenses they have faced. This prevents you from being scared off a good matchup against a defense whose reputation is built on a soft early-season schedule.
6. Overreacting to Small Sample Sizes
A rookie running back explodes for 150 yards and two touchdowns in Week 1, and the fantasy world goes into a frenzy. Managers rush to trade their established veterans for him, assuming he's the next big thing. While he might be, it's a decision based on an incredibly small sample of data. Football is a high-variance game, and a single performance—or even a few good games—is not always indicative of a player's true talent level or sustainable role. This is also related to recency bias, where we place too much importance on the most recent events we've witnessed. Always be skeptical of extreme outliers early in the season. Wait for a larger body of evidence before anointing a player a must-start or dropping a proven veteran who had a quiet start.
