5 Data Signals that Translate from College to the NFL (And How to Sanity-Check Draft Hype)

But for every thoroughbred that has come through the NCAA ranks and gone on to become an NFL kingpin, literally thousands more have passed through the draft without raising an eyebrow.

Big college numbers don’t automatically equal success at pro level, it’s fair to say.

So, for football fans, bettors, daily fantasy drafters, and franchise back-office staff, how do you set about identifying those college studs that have what it takes to make it in the NFL?

There’s no exact science, it’s true to say, but there are some transferable data signals from the college game that can help to waymark young players with genuine potential.

This is about statistical process; not off-the-cuff hot takes and social media-led groupthink. This article is dedicated to helping you cut through the noise, too.

Age-Adjusted Production

Generally speaking, the younger a player goes through his ‘breakout’ phase, the better an omen it is for a long and successful career in pro football.

Breakout Age (BOA) is a metric that is growing in prominence. Its core concept is simple: it defines the age that the player delivered performance levels that are significantly higher than their peers in the same position.

And the conclusion is that the younger the player is when they achieve their BOA, the more upside they typically have when turning pro. Jalen Hurts (18) and Lamar Jackson (19) are just two contemporary powerhouses that fit the bill.

Such a theory was back tested with wide receivers specifically, with the data conclusive: the younger the WR is when they deliver their breakout season of offensive dominance, the more likely that is to transition to NFL stardom.

Market Share Over Raw Volume

Anyone can crunch the numbers and decide that a quarterback who serves up mammoth passing yards *could* be a superstar in the making.

However, here’s an interesting alternative to just raw production data: market share.

Pit players of the same position against one another, calculating percentiles of performance. That way, you can more accurately see how that pass-hungry QB stacks up against his peers.

Other metrics, such as receiving yard %, touchdown share, and rush attempt share can also act as excellent pointers.

Sports data is good. Sports data with context added is even better. So take the time to understand how each offense shapes up – are they run-heavy or do they favor the air raid approach?

Contextualize the raw numbers with market share percentages and percentiles for a more accurate examination of a player’s value.

Efficiency That Scales

It’s only human nature to have our heads turned by quarterbacks spraying long passes around, or wide receivers landing a TD after a mazy 50-yard reception.

But these are big plays – highlight reel moments – that can sometimes skew our thinking. Shouldn’t we instead consider efficiency and repetition over singular acts of brilliance?

Metrics like yards-per-run, pressure-to-sack ratio, and missed tackles forced are hardly sexy, headline makers, but they are sustainable, repeatable, and transferable – key for making the step up from college to professional football.

The NFL’s Next Gen Stats module has been a breakthrough in the more effective analysis of players. Wide receivers, for example, are often judged on yards and touchdowns… but what about separation yards from their tight end? Expected yards gained after a catch?

These are just some ideas on how to analyze players in each position in a more useful way.

Athletic Testing in Context

It’s easy to be wowed by rapid ten-yard splits and vertical jumps.

But judging draft prospects based upon their maximum physical exertion perhaps isn’t always the savviest way to understand their credentials. Much is made of the NFL Combine, but how often do the standout players on the day go on to enjoy long and sustained careers at the highest level of pro football?

There are outliers at the Combine every year, but many scouts are now using percentile bands and baselines – and manipulating these for each position on the field – to deliver a smarter data source… rather than mere freakish shows of speed and/or power.

Role Translation

A running back is a running back, a tight end is a tight end, and a linebacker is a linebacker… right!?

Well, kind of. But these are just some of the roles on the football pitch that have an extensive diversity and variety to them.

A wide receiver can play in the slot, or as a flanker or split end. They may have fulfilled one of those roles in college, and yet be asked to play in a completely different way for their NFL franchise.

Similarly, a quarterback may have been a solid RPO in the NCAA, but be asked to provide different plays and actions in the big league.

So, while a stacked college football resumé is alluring, perhaps the better question to be asked is ‘will this player be given continuity in their role in the NFL?’

If they’re not, there’s no guarantee they will be a success – or drafted as early as projections indicate.

This can be a key consideration for football fans wagering on the NFL Draft, or indeed on season-long futures. Indicators, not noise - learn how to bet on the NFL with The Playoffs’ complete guide.

How to Sanity-Check Draft Hype

It’s easy to get swept away in a sea of hype and hysteria ahead of the draft.

But keeping a cool head, separating the true signals from the noise, and not being swayed by huge production numbers or freakish shows of athleticism at the Combine, are key to making more accurate reads on which college football stars will kick on in the NFL.

Remember these important considerations:

·         Is their production age-adjusted?

·         Did their efficiency persist across multiple seasons?

·         Does their athleticism meet their positional threshold?

·         Is their college role translatable to the NFL?

In an age of social media content creation, clickbait headlines, and chasing likes, outliers will always be exaggerated and hyped.

Only the calmest of heads will prevail…

College Star, NFL Kingpin

Hopefully, this article has made for informative and eye-opening reading.

No single metric is a precursor to guaranteed success in the NFL. Indeed, efficiency and continuity can often trump big stats – upending the draft order completely.

So, here’s your takeaway point: signal stacking is still optimal in an era of hype and over-excitement when making your draft projections.