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Edge Lab

Sports data analyst & independent researcher. I build statistical models across soccer, NBA, MLB, NFL, UFC, and tennis — then publish the backtested findings. Over 1,000 matches and games analyzed. Sy

San Francisco, CA Joined on Jun 16, 2026 https://edgelab.gumroad.com

Education

Statistics & Data Science

Work

Independent Sports Analytics Researcher

Edge Lab

Jun 30

I Tracked 800 Clutch-Time Situations. Your Favorite Star Player Is Choking Less Than You Think [Jun 30]

#analytics

5 min read

Edge Lab

Jun 30

The 4th Down Revolution: Why NFL Teams Win 67% More Games When They Trust the Math [Jun 30]

#analytics

6 min read

Edge Lab

Jun 30

Sharp Money vs Public Money: What Betting Line Movement Data Reveals About Market Inefficiency [Jun 30]

#datascience

6 min read

Edge Lab

Jun 30

The Wisdom of Crowds Is Wrong About Sports 23% of the Time — Here's the Pattern [Jun 30]

#datascience

6 min read

Edge Lab

Jun 30

I Almost Missed This Pattern Until I Wrote 15 Lines of Python: How xG Actually Predicts Goals (Spoiler: Not How You Thin

#tutorial

6 min read

Edge Lab

Jun 30

Line Shopping Actually Works: I Tracked Odds Across 10 Sportsbooks and Found $47K in Annual Leakage for Sharp Bettors [J

#datascience

6 min read

Edge Lab

Jun 30

Free Sports Data Is Better Than 90% of Paid APIs—Here's Why Nobody Talks About It [Jun 30]

#python

6 min read

Edge Lab

Jun 30

The Serve Speed Paradox: Why the 130+ MPH Club Wins 23% Fewer Pressure Points [Jun 30]

#analytics

6 min read

Edge Lab

Jun 30

World Cup 2026: The 48-Team Format's Hidden Statistical Trap—and Why Group Stage Math Just Changed [Jun 30]

#datascience

6 min read

Edge Lab

Jun 30

World Cup 2026: The 48-Team Format Is Hiding a Statistical Landmine — and Three Nations Don't Know It Yet [Jun 30]

#datascience

6 min read

Edge Lab

Jun 30

World Cup 2026: Spain's 4-0 Demolition Reveals Why the 48-Team Format Has a Hidden Statistical Killer [Jun 30]

#datascience

6 min read

Edge Lab

Jun 29

World Cup 2026: The 48-Team Format's Hidden Statistical Trap — and Why It Breaks Conventional Tournament Logic [Jun 30]

#datascience

6 min read

Edge Lab

Jun 29

World Cup 2026: The 48-Team Format Just Created a Statistical Nightmare — and Nobody's Talking About It [Jun 30]

#datascience

6 min read

Edge Lab

Jun 29

I Analyzed 1,085 Soccer Matches. The 87th Minute Data Will Surprise You. [Jun 29]

#datascience

5 min read

Edge Lab

Jun 29

The 47-Point Vig Trap: How Bookmaker Margins Hide Profitable Opportunities in Plain Sight [Jun 29]

#datascience

6 min read

Edge Lab

Jun 29

xG Models Lie: How StatsBomb Data Reveals 47% of "High-Quality" Shots Never Should Have Counted [Jun 29]

#analytics

6 min read

Edge Lab

Jun 29

The Serve Speed Paradox: Why Faster Servers Don't Always Win More [Jun 29]

#analytics

6 min read

Edge Lab

Jun 29

UFC Underdog ROI: I Tracked 500 Fights to Find Systematic Mispricings [Jun 29]

#datascience

6 min read

Edge Lab

Jun 29

Portugal's 5-0 Win Hides a Catastrophic Defensive Pattern No One's Discussing [Jun 29]

#statistics

4 min read

Edge Lab

Jun 29

World Cup 2026: The 16-Group Format Is Creating a Statistical Nightmare Nobody Saw Coming [Jun 29]

#datascience

6 min read

Edge Lab

Jun 29

World Cup 2026: Spain's 5-Goal Blitz Exposes Why Late Draws Are Actually Red Flags [Jun 29]

#datascience

6 min read

Edge Lab

Jun 29

World Cup 2026: The 16-Group Format Is Creating a Statistical Trap Nobody Expected [Jun 29]

#datascience

6 min read

Edge Lab

Jun 28

World Cup 2026: The 48-Team Format Just Created a Statistical Trap Nobody's Talking About [Jun 29]

#datascience

6 min read

Edge Lab

Jun 28

World Cup 2026: The 48-Team Format's Hidden Statistical Trap — And Why It's About to Upend Tournament Favorites [Jun 29]

#datascience

6 min read

Edge Lab

Jun 28

Sharp Money vs Public Money: What 847,000 Betting Line Movements Reveal About Market Inefficiency [Jun 28]

#datascience

6 min read

Edge Lab

Jun 28

I Found 5 Systematic Biases in Sports Prediction Markets Using Polymarket Data [Jun 28]

#datascience

6 min read

Edge Lab

Jun 28

I Almost Missed This Pattern Until I Wrote 15 Lines of Python: How Pandas Revealed Why Shot Location Beats Shot Volume i

#tutorial

5 min read

Edge Lab

Jun 28

Line Shopping Is Dead: I Tracked 10 Sportsbooks for 6 Months and Found They're All Wrong Together [Jun 28]

#datascience

6 min read

Edge Lab

Jun 28

xG Overestimates Strikers by 19%: What StatsBomb Data Actually Shows About Shot Quality [Jun 28]

#analytics

6 min read

Edge Lab

Jun 28

The Serve Speed Paradox: Why Faster Servers Don't Always Win More (And What Actually Matters) [Jun 28]

#analytics

6 min read

Edge Lab

Jun 28

Portugal's 5-0 Win Hides a Catastrophic Defensive Vulnerability—And the Data Says It's Repeatable [Jun 28]

#statistics

4 min read

Edge Lab

Jun 28

World Cup 2026: Why Spain's 9-Goal Rampage Doesn't Mean They'll Win It All [Jun 28]

#datascience

6 min read

Edge Lab

Jun 28

World Cup 2026: The 48-Team Format Just Created a Scoring Exploit — And Three Nations Are Already Exploiting It [Jun 28]

#datascience

6 min read

Edge Lab

Jun 28

World Cup 2026: Why Spain's 9-Goal Rampage Masks a Fatal Late-Game Weakness [Jun 28]

#datascience

7 min read

Edge Lab

Jun 27

World Cup 2026: The 48-Team Format Just Exposed a Brutal Statistical Trap—and Most Teams Don't See It Coming [Jun 28]

#datascience

7 min read

Edge Lab

Jun 27

World Cup 2026: Spain's 9-Goal Rampage Exposes the 48-Team Format's Most Dangerous Statistical Illusion [Jun 28]

#datascience

6 min read

Edge Lab

Jun 27

UFC Underdog ROI: I Tracked 500 Fights to Find Systematic Mispricings

#datascience

6 min read

Edge Lab

Jun 27

Computer Vision in Sports: How Tracking Data Is Changing How We Analyze Games

#datascience

6 min read

Edge Lab

Jun 27

Giant Killings in Champions League: Data Analysis of 30 Years of Upsets

#analytics

6 min read

Edge Lab

Jun 27

Exit Velocity vs ERA: What Statcast Data Reveals About Pitcher Vulnerability

#analytics

6 min read

Edge Lab

Jun 27

The Analytics Behind NFL Underdogs: Why Spread Covers Happen More Than Bookmakers Price

#analytics

6 min read

Edge Lab

Jun 27

Sharp Money vs Public Money: What Betting Line Movement Data Reveals

#datascience

6 min read

Edge Lab

Jun 27

I Found 5 Systematic Biases in Sports Prediction Markets Using Polymarket Data

#datascience

6 min read

Edge Lab

Jun 27

StatsBomb Open Data Reveals: Late Goals Aren't Random

#datascience

6 min read

Edge Lab

Jun 27

Line Shopping Analytics: I Tracked Odds Across 10 Books and Found Systematic Differences

#datascience

6 min read

Edge Lab

Jun 27

World Cup 2026: How the 48-Team Format Is Creating Historic Upset Probabilities—And Which Dark Horses Should Terrify Fav

#datascience

5 min read

Edge Lab

Jun 27

Giant Killings in Champions League: Data Analysis of 30 Years of Upsets

#analytics

5 min read

Edge Lab

Jun 27

Exit Velocity vs ERA: What Statcast Data Reveals About Pitcher Vulnerability

#analytics

6 min read

Edge Lab

Jun 27

Advanced NBA Metrics That Predict Playoff Success Better Than Seed Position

#analytics

6 min read

Edge Lab

Jun 27

Building a Sports Data Pipeline: Python, StatsBomb API, and pandas in Practice

#tutorial

5 min read

Edge Lab

Jun 27

StatsBomb Open Data Reveals: Late Goals Aren't Random

#datascience

6 min read

Edge Lab

Jun 27

The Best Free Sports Data APIs in 2025: A Developer's Practical Review

#python

5 min read

Edge Lab

Jun 27

xG vs Actual Goals: A Deep Dive Into StatsBomb Open Data Across 5 Competitions

#analytics

6 min read

Edge Lab

Jun 27

The Serve Speed Paradox: Why Faster Servers Don't Always Win More

#analytics

6 min read

Edge Lab

Jun 27

UFC Underdog ROI: I Tracked 500 Fights to Find Systematic Mispricings

#datascience

6 min read

Edge Lab

Jun 27

World Cup 2026: How the 48-Team Format is Creating Statistical Anomalies in Group Stage Upset Probability

#datascience

4 min read

Edge Lab

Jun 27

World Cup 2026: How the 48-Team Format Is Creating Statistically Unprecedented Upset Opportunities

#datascience

5 min read

Edge Lab

Jun 27

World Cup 2026: How the 48-Team Format Is Creating Historic Group Stage Upset Probability

#datascience

6 min read

Edge Lab

Jun 27

Argentina's Dominance at WC2026: The xG Story Behind Their 3-1 Win vs Mexico

#statistics

3 min read

Edge Lab

Jun 26

World Cup 2026: Why the 48-Team Format is a Goldmine for Upset Predictions (And How to Model It)

#datascience

5 min read

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