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Using real-time NFL Next Gen stats to analyze performance play by play, mid-game.

January 13, 2026 / 01:12

This episode discusses NFL analytics, focusing on real-time data from NFL NextGen Stats, and features Shawn Lee, a linebacker for the Cowboys.

The conversation highlights how the analytics company Adrenaline uses data to predict blitz probabilities, run-pass ratios, and target probabilities. Shawn Lee shares insights on how these metrics dynamically update during games.

A specific example is given from a recent San Francisco game, where the blitz probability shifted dramatically from single digits in the first half to over 40% in the second half. This change illustrates a strategic shift in the team's approach as the game progressed.

The discussion emphasizes the importance of data in understanding game strategies and how it can reveal trends that may not be immediately visible during live play.

TL;DR

Shawn Lee discusses NFL analytics and blitz probability shifts during games.

Episode

1:12
00:00:00
We're working with a company called
00:00:01
Adrenaline, which Shawn Lee is a big
00:00:03
player there. Shawn Lee, the Cowboys
00:00:05
linebacker, if you remember, and they're
00:00:07
an analytics company. They've got real
00:00:09
time data coming in from NFL NextGen
00:00:12
Stats. And what they use it for is to
00:00:14
predict the probability of blitzes, run
00:00:16
pass, and target probability, and it's
00:00:20
dynamically updating. So, when a
00:00:22
linebacker starts to creep forward,
00:00:24
you'll see that blitz probability pop. I
00:00:26
found that to be really cool, especially
00:00:28
if you look just trends over game. We
00:00:29
did the San Francisco game a few weeks
00:00:31
ago, not this last week, but a few weeks
00:00:33
ago, and in the first half, everything
00:00:36
was singledigit blitz probability. They
00:00:38
were just 8 9% blitzing. And I don't
00:00:40
know if they blitzed at all in the first
00:00:41
half. And then suddenly in the second
00:00:44
half, it was 40% or 45% or 50% and they
00:00:49
were blitzing more. And to me, that was
00:00:51
cool as someone that it just I I just
00:00:54
need the numbers sometimes to highlight
00:00:56
this. And even though it was
00:00:57
predictable, it was clearly showing a
00:00:59
shift in mentality that they had from
00:01:01
early in the game to later in the game.

Episode Highlights

  • Dynamic Blitz Probability Analysis
    Adrenaline uses real-time data to predict blitz probabilities in NFL games. "It was clearly showing a shift in mentality."
    @ 00m 12s
    January 13, 2026

Episode Quotes

Key Moments

  • Analytics in NFL00:07
  • Real-time Data00:09
  • Blitz Probability Shift00:44

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