The Numbers Game
Dan FlemingSports data, visualized - open-source stats from football, basketball, baseball and beyond, with the story behind the numbers. One chart weekly.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 23 | Founded | 4 months ago | Last Issue | 8 days ago |
| Active | |||||
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danflemingdata.substack.comLatest Issues
Research Notebook 006: NFL Non-Scoring Plays
Welcome to my research notebook - A weekly rundown of what I learnt from writing this week's article.
I’ve really been enjoying the start of the 2026 NFL season. Partly because I’m currently 3-0 in my fantasy league, but it’s been a lovely...
Forget Touchdowns: The NFL’s Most Influential Plays of Weeks 1-3
Now that the new NFL season is a few weeks in, we’ve seen some great (and less great) football performances. We’ve seen 6,378 plays across the first three weeks and a total of 2,194 points scored across the league. It becomes too easy to fo...
Three Months of The Numbers Game
Three months, twelve articles, 800 subscribers - and this week, no analysis. This week is the first time I haven’t had an open-source data analysis go live - and with good reason. Last week I had two of my wisdom teeth removed, so instead o...
A Perfect Month: Do Premier League teams that win their opening four games go on to win the league?
The first four game weeks of the 2026/27 Premier League season are complete and two teams remain perfect, 12 points from 12, Manchester City and Arsenal. They’ve made it through those games in different fashion, and perhaps it could be argu...
Research Notebook 005: Correlation, Causation, and the Perfect Start
Welcome to my research notebook - A weekly rundown of what I learnt from writing this week's article.
While writing this week’s article, I couldn’t help but think what a perfect example it was of correlation vs causation. We found that nin...
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Independent sport data journalism - built using open-source datasets. Weekly charts with a short, evidence-based write-up: what the data shows, what it doesn't, and where the sample size means you should be skeptical.
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