College Football
Recruiting Class Composite Scores: What They Predict and What They Don’t
Recruiting class composite scores — what they actually measure, how they correlate with future performance, where they break, and how to read them without...
SportsHighLight · Author
Owen Brennan
Football writer based in Indianapolis. Former college beat reporter who turned to NFL and college football analytics after watching one too many quarterback evaluations built entirely on highlight reels. Skeptical of any take that survives less than three weeks. Covers EPA, DVOA, SP+ and the work that has to happen on the All-22 before any of those numbers make sense.
NFL
Air Yards vs Yards After Catch: Reading WR Production Past the Stat Line
Air yards and yards after catch — what they measure, how to read them together, where public coverage gets them wrong, and how to...
NFL
The 4th-Down Revolution: How Analytics Rewired NFL Coaching Decisions
The fourth-down revolution — how analytics rewired coaching decisions, what the math actually said, where the resistance came from, and where the math still...
College Football
Transfer Portal Math: Modeling Roster Volatility in the NIL Era
Transfer portal math — how the public models try to value player moves, where the math works, where it fails, and what the next...
College Football
Returning Production: The Single Most Predictive Variable in College Football
Returning production — what it measures, why it matters so much in college football specifically, where it breaks, and how to use it without...
NFL
Quarterback Pressure Rate: The Most Underused NFL Stat in Public Coverage
Quarterback pressure rate — what it actually measures, how it interacts with the rest of the public analytics toolkit, where it breaks, and why...
NFL
DVOA Explained: Football Outsiders’ Long Shadow on Modern NFL Analytics
DVOA, where it came from, how it actually worked, where it broke, and why every modern NFL analytical writer still owes the framework a...
College Football
The SEC vs Big Ten Question, Settled (or Almost) by the Numbers
The SEC vs Big Ten conference debate, settled (or partially settled) by the numbers, where the data agrees with the consensus and where it...