
TheOffensiveEdge
37 posts

TheOffensiveEdge
@TEO_Analytics
Data. Scheme. Execution. | Analyzing NFL offenses to find the edge 📊🏈 | Ex D1 offensive lineman → analytics future



"The OL can't block!!" Well, who’s really to blame for QB pressure? X = QB Time-to-Throw | Y = Pressure Proxy (1 – PBWR) Above the trend line + QBs facing more pressure than their O-Line suggests (Hurts OL) Below the trend line = QBs taking pressure off their line (Helps OL)







I was always a firm believer/strong advocator for more pre snap motioning- Make the defense show their hand. In my first case study, I wanted to test the correlation between pre-snap motion and offensive efficiency(EPA/play). I'm looking forward to keeping up with this #Data #NFL




Midseason! Bringing back a favorite stat: SCRACK EPA (Scramble EPA + Sack EPA). Identifying how much a QB helps or hurts his team on called pass plays when he doesn't throw the ball. Josh Allen still the king, but Bo Nix moving his way up! Data from @NextGenStats


Elite protection doesn’t always equal elite offense 👀 This chart shows how each NFL team’s average block win rate stacks up against their total EPA. Colts and Chiefs are cooking with efficiency — but some strong O-lines (Titans, Falcons) aren’t cashing in.





2025 finding: Passing efficiency *doubles* with multiple TEs on the field #SumerSportsShow @lindsay_rhodes @sambruchhaus















