She Couldn't Get a Press Pass. She Rewrote the NFL Draft Anyway.

The Room She Wasn't Supposed to Be In

Sometime in the late 1980s, a young woman named Susan Cohig walked into the offices of an NFL front office with a folder full of statistical models she had spent eighteen months building from scratch. She had a background in applied mathematics. She had studied the existing scouting literature and found it riddled with confirmation bias and gut-feel mythology. She had built a system that she believed could predict — with meaningful accuracy — which college players would translate to NFL success and which ones wouldn't.

The scout who agreed to see her gave her about twelve minutes.

He was polite. He told her the models were interesting. He told her that football wasn't really a numbers game — that you had to watch the tape, that you had to see how a player moved, that there were things the eye caught that no spreadsheet could capture. He thanked her for coming in.

She left the folder on his desk when she walked out.

Three years later, two of the players she had flagged as undervalued — both passed over in the early rounds based on traditional scouting — had made Pro Bowl rosters. The players the same team had drafted ahead of them, based on the conventional wisdom she'd pushed back against, were out of the league.

Nobody called her.

How the NFL Thought About Talent

To understand what Susan was pushing against, you have to understand how NFL scouting worked for most of the twentieth century. It was a world built on relationships, reputation, and a specific kind of masculine authority. Scouts were almost universally former players or coaches — men who had been on the field and believed, sincerely, that their physical experience gave them an insight into player evaluation that no outsider could replicate.

The metrics they used were crude by modern standards: forty-yard dash times, bench press reps, height, weight, position-specific drills. These numbers mattered, but they were interpreted through a lens of subjective impression that varied wildly from scout to scout. A player might get graded as a first-rounder by one team and a fourth-rounder by another, and neither team could fully explain the gap.

The draft, in other words, was expensive guesswork dressed up in the language of expertise.

Susan's models didn't try to eliminate judgment — she was too mathematically rigorous to make that mistake. What they tried to do was identify which measurable factors actually correlated with professional success and which ones were noise. The findings were uncomfortable for a lot of people in the building.

College production, adjusted for competition level, mattered more than anyone was admitting. Certain physical metrics that scouts treated as essential had almost no predictive value at the professional level. Age relative to college class — a factor almost nobody was tracking — turned out to be a surprisingly strong signal.

None of this was welcome news in a world where the guys doing the scouting had spent decades building their reputations on exactly the things her data was questioning.

The Press Box Problem

Susan's access issues weren't just about front office meetings. In the era she was working, women were frequently denied press box credentials at NFL games — a policy that varied by team but reflected a broader industry assumption that professional football was male professional territory at every level above fan.

For a researcher trying to build models, access to games and to the people inside them was essential. She worked around it the way women in male-dominated fields have always worked around it: she found allies, she leveraged the relationships she could build, and she did more with less access than anyone with full credentials would have needed to.

She also got remarkably good at reading film. Whatever the scouts believed about experiential knowledge, Susan developed a film study practice that was as rigorous as her statistical work — not because she was trying to beat them at their own game, but because she understood that the most useful models would integrate both.

The Moment the Numbers Became Impossible to Ignore

By the mid-1990s, Susan had refined her models through several draft cycles and was tracking her predictions against actual outcomes with the kind of obsessive precision her critics never bothered to apply to their own track records. The results were striking. Her model's top-ranked players at each position were outperforming their draft position at a rate that couldn't be explained by chance.

A general manager who had heard about her work through a mutual contact agreed to a longer conversation. Unlike the scout from a decade earlier, he asked questions. He pushed back on her methodology in ways that were substantive rather than dismissive. He brought in two of his own analysts to poke holes in her framework.

They couldn't find the holes.

She was brought on as a consultant. Her role was never announced publicly — that wasn't how it worked in those days, and frankly, it probably still isn't how it works in a lot of organizations. But her models began quietly influencing which players the team targeted in the middle and late rounds of the draft, where the leverage in the system had always been greatest.

Over the following decade, variations of her core methodology spread through the league the way good ideas always spread in competitive industries: through people who learned from her directly, through analysts who independently arrived at similar conclusions, and through the slow, grudging acknowledgment by the old guard that the numbers were doing something their gut feelings weren't.

Credit, and the Lack of It

The analytics revolution in the NFL is usually told as a story about men — about specific GMs who embraced data, about the Moneyball effect spreading from baseball, about a new generation of Harvard-educated front office executives who brought a different vocabulary to the game.

Susan Cohig's name doesn't appear in most of those accounts. She never held a title that got her into the official history. Her consulting work was confidential by design. The scouts and executives who learned from her methods didn't always know — or acknowledge — where those methods came from.

This is not a story unique to football, or to sports. It is the story of how women's intellectual contributions get absorbed into institutions that then forget where the contribution originated.

What makes Susan's version worth telling is the specificity of it. She didn't just participate in a change — she helped architect one. In an industry that had built its identity around a particular kind of masculine knowledge, she walked in with a folder full of math and turned out to be right in ways that were eventually impossible to dispute.

She just never got the press pass to prove it.