From a rented room in Nha Trang to the world stage: The story of a Data Monk

I used to sit in a cramped rented room in Nha Trang, sweating, manually recording every V-League statistic. Each match took four hours to collect data from low-quality live streams. Back then, I was 19, a Statistics student, and no one knew the name 'Data Monk' yet.

The first match that truly changed me was round 8 of the 2026 season: Hanoi FC controlled 61% possession, fired 15 shots, but their xG was only 0.8. On the other side, Ho Chi Minh City FC had only three shots, yet an xG of 0.6 – the match ended 1-1. The numbers spoke: possession does not create truth; you must combine it with running distance and duels. That was when I realized I was not just a sports fan, but a real data analyst.

From there, I built a blog on an old computer, writing about what the crowd missed. When I predicted the German national team would be eliminated at the 2026 World Cup, based on their PPDA soaring from 8.1 to 11.6 and high-speed running distance dropping 18%, I was called 'the number freak'. But the result: Germany finished bottom of Group F. That post was shared 3,000 times, and I knew I was right.

The COVID-19 pandemic in 2026 brought a natural experiment: empty stadiums with no fans. I collected 64 Bundesliga matches after the league resumed, finding that home win rate dropped from 42.7% to 31.3%, average home xG decreased by 0.19. The article 'Is Home Advantage Noise or Silence?' helped me get an offer from a data company in Ho Chi Minh City as a full-time analyst. The dream from that rented room began to take shape.

The peak came at the 2026 World Cup. I built a model with 12 indicator groups, where Morocco stood out with 28% possession but the ability to reduce opponents' xG by 0.35 per match, goalkeeper Bounou with a PSxG of +2.4 above expectation. I bet on Morocco and Argentina; both reached the final. People called me 'Data Monk', and I considered that the highest compliment.

But for me, the real value is not in titles. It's when I can look at a match and see stories others miss: a goalkeeper with poor reflexes but high transfer value due to his godly distribution; a young player with outstanding xG but poor locker-room chemistry; a loan-with-obligation-to-buy system that destroys small clubs' finances. I write about these things, and each article is a piece of the truth.

The match ends, but the data remains. That sentence is my guiding principle. When the crowd has left, I still sit in front of the screen, examining every pass, every touch, every advanced metric. Each match is an experiment, and each experiment has an answer.

Today, I sit here, writing from a professional office, but inside I am still that 19-year-old student in Nha Trang, with the belief that data can tell a more truthful story than any commentator. I have gone from a rented room to the world stage, and that journey is not over. Because every time a ball rolls, I see a new number waiting to be decoded.