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 | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 12 | Founded | 2 months ago | Last Issue | 9 days ago |
| Active | |||||
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danflemingdata.substack.comLatest Issues
The Death of NBA Monoculture
When I first moved to the US I knew almost nothing about basketball.
Once I got drawn into watching the team at Utah State play, with now NBA winners Sam Merrill and Neemias Queta on the team at the time, living just outside Salt Lake Cit...
Research Notebook 001: WSL Elite Tax
Every week I publish a new article for The Numbers Game. What you see is the polished version that I’ve sat with for a week or two, made countless edits on, and figure that have been reformatted more times than I care to count.
As researc...
The WSL Elite Tax: Is the Gap Really Closing?
As we welcome in another new season of the Women’s Super League (WSL), fans of Arsenal, Chelsea, and Man City will be eager to see which team will come out on top in the 26/27 season. I mention those three teams specifically because, once a...
Is the F1 Constructors’ Championship Really Decided by Summer?
The 2026 Formula 1 season is in the middle of its summer break. While we have a few weeks to sit back and wonder what to do with ourselves waiting for the next round, I decided to take a look at when the Constructor’s championship is usuall...
I Simulated 10,000 Premier League Seasons. Here's Who Wins.
I ran 10,000 simulated Premier League 26/27 seasons to see where teams are most likely to finish in the coming year.
The Premier League season is just around the corner, and by now I’m sure you’ve heard every opinion under the sun on who’...
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Authors
The writers behind this newsletter.
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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