DraftBlaster reference library · Updated October 20, 2026
NFL draft coverage is full of rankings, rates, and historical comparisons. The challenge is understanding what each number measures—and what it leaves unanswered. This guide explains the habits we recommend before using a statistic to judge a prospect.
Start by defining the question
“Was this a good draft pick?” can mean several things. Did the player become a starter? Did he perform at a high level? Did the team receive useful contribution at the cost of the selection? Those questions require different evidence. Decide what you are measuring before choosing a statistic.
Rate statistics and totals answer different questions
A season total describes accumulated output. A rate describes output relative to an opportunity such as a carry, target, or pass attempt. A receiver with more yards may have received far more opportunities. A runner with an impressive average may have benefited from a small number of long gains. Use both views, then inspect the distribution behind them.
Opportunity is part of the explanation
Playing time, injuries, game plans, and competition can change the opportunity to produce. A total without its denominator can conceal that. When comparing prospects, state the games played and the relevant opportunities wherever the data allows it. Do not treat missing opportunity as automatically proving either untapped ability or poor performance.
A simple example: yards per reception
Suppose two hypothetical receivers each gain 600 yards. One catches 30 passes and the other catches 60. Their averages are 20 and 10 yards per reception. That difference describes the results of their catches, but it does not tell us how many targets each received, how often each separated, or which player would fit a particular professional offense. These are illustrative numbers, not statistics attributed to real players.
Completion percentage is a beginning
A quarterback’s completion percentage does not isolate accuracy. Throw depth, pressure, receiver play, and the types of throws attempted affect the result. A sensible evaluation asks which completions were expected, which difficult throws were created, and which opportunities were missed. Avoid turning one percentage into a complete quarterback grade.
Sacks and interceptions are outcomes
Defensive results deserve context. Was a sack an individual win or an unblocked path? Did an interception require reading the play, or did a deflection deliver the ball? The result matters, but a projection also needs the process that produced it. A small number of spectacular outcomes can obscure ordinary snaps.
Strength of competition matters—but needs detail
Comparing a prospect against strong opposition is useful, but a conference label is not enough. Identify the opponent, the players involved, and the role being performed. A single strong matchup does not erase the rest of a season, and a difficult matchup is not automatically a fair test of every trait.
Small samples make confident claims fragile
An excellent two-game stretch can be worth investigating without proving a permanent change. Report the size of the sample and what came before it. If one unusual play dramatically changes a rate, say so. More observations help, but they still need to be relevant and measured consistently.
Define “hit rate” before calculating it
Historical draft analysis often refers to hits and misses. A credible study states the definition: starts, seasons played, honors, a performance measure, or something else. It also identifies the draft classes and the observation window. Changing the definition halfway through can produce a persuasive-looking number with very little meaning.
Separate correlation from a scouting rule
Two measurements moving together does not establish that one causes the other. Nor does a historical relationship guarantee a threshold that future players must meet. If a study suggests a pattern, use it to improve the next question rather than declaring every exception impossible.
A checklist for any draft statistic
Look for the original source, the season and cutoff date, the sample size, the definition, and the denominator. Check whether postseason games are included and whether two sources measure the same thing. When the definitions are unavailable, narrow the claim instead of filling the gaps with assumptions.
How DraftBlaster will use numbers
Statistics should help explain a projection, not decorate it. We will distinguish factual totals from our interpretation, link sources where available, and label illustrative examples. A stat becomes useful when it changes a specific evaluation question or helps a reader understand the reasoning behind a pick.
Use this guide alongside How to Evaluate NFL Draft Prospects and the 2027 NFL Mock Draft.