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 | 28 | Founded | 4 months ago | Last Issue | 5 days ago |
| Active | |||||
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danflemingdata.substack.comLatest Issues
Noise, Process, and Power Plays: Early-Season NHL Special Teams
Hockey was never a sport I got into during my time in the US. I left Utah to move back to England right as the Mammoth came into town, but as my wife is from Seattle I was quickly naturalized as a Kraken fan (jersey and all)! Given that Hoc...
Research Notebook 007: NBA Simulations
Welcome to my research notebook - A weekly rundown of what I learnt from writing this week's article.
I am SO excited for the new NBA season to begin. In the spirit of this, I spent some time running simulations for the upcoming season. As...
I Built an NBA Model. It Made Atlanta the Best Team in the League.
Yes, I know it sounds like clickbait, but it’s true. It is worth saying, I fixed this… but the first attempt at the model resulted in Atlanta winning the most games in the league. The NBA season is just around the corner, and I’ve loved see...
Research Notebook 006: Russo’s POTY Crown
Welcome to my research notebook - A weekly rundown of what I learnt from writing this week's article.
It’s been a busy week for me, but I’m glad I took the time to write this week’s article. My social feeds have been flooded with the news...
Right on Time: Alessia Russo’s England Player of the Year Crown
Better late than never… It has been a busy week for me personally with two Premier League games this weekend and a lot of teaching and research on campus, so I apologize for the late edition this week. However, in the midst of the chaos I d...
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| Subscribers | Engagement | 74 | Monthly Web Visits | ||
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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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