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I’m a math PhD student who started posting women’s basketball data content in 2022. It changed my trajectory a bit, and I’m open to seeing how far it can go :) I started out on tt making little video
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it’s me data guru maddy brown #wnba #data #sportanalytics
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wnba things I coded this week #wnba #research #math
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personally i think plain plus-minus fine as a stat, because it’s literally a true fact and an exact measure of something with an explicit meaning, but whatever let’s talk about why everyone hates plu
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wnba stat school is back, and we’re talking about a stat that is great for contextualizing a player’s offensive output: usage rate our case study is Marina Mabrey on the Tempo, who is averaging the h
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the start of the 2026 wnba season is already seeing way more foul calls than usual 491 fouls over 11 games, or about 44.6 per game over the previous 10 seasons, the average fouls per game over the f
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HOW DO YOU GET THE DATA???? if you want to learn wnba analytics, you need to know how to get the data! there are three main dataframe/table types to look out for: 1️⃣ player box scores- each row is
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From 1997 to now. Every era led to this. 📺 Season 30 is underway and the action continues today, starting at 1pm/ET on ABC! WNBA Tip-Off 2026 | @carmax
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shoutout to beatles rockband today’s wnba stat school pop quiz: if a team leads a game in efg%, how often do you expect them to win the game? inspired by Bob Bellotti “Which NBA Statistical Categori
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do you think AST:TOV is a fair stat for evaluating WNBA passers? today’s wnba stat school is on Assist to Turnover Ratio, with a special guest appearance from Assist to Bad Pass Turnover Ratio stats
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📚 if I was just starting my basketball analytics journey, these are the books I would read: (for analytics background, knowledge, and examples of things to recreate!) 📕 Mathletics: How Gamblers, M
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there are hundreds of basketball stats, but only four actually matter and they just might be the key to explaining the Aces’s crazy 2025 turnaround today’s wnba stat school is on the four factors, a
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About @wnbadata

Maddy Brown is a Instagram micro influencer in the Scientist category. With 11.3K followers and 12 posts, wnbadata's account shows a follower-to-following ratio of 23.4:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

wnbadata's engagement rate sits at 9.29%. That's 272% above what you'd typically see for accounts with 10K-100K followers (average 2.5%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 30 days. Captions lean detailed, averaging 527 characters.

9.29% engagement rate — 272% above average for 10K-100K follower accounts.
Posts about every 30 days.
23.4:1 follower-to-following ratio.

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Popular Countries

United StatesTurkeyGermanyUnited KingdomBrazilFranceSpainItalyAll Countries (196)

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wnbadata
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@wnbadata

Maddy Brown

PublicScientist
Posts
12
Followers
11.3K
Top Hashtags
#wnba#sportsanalytics#womensbasketball#indianafever#phdstudent#data#sportanalytics#research

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

Following
481
Avg. Likes
1K
Avg. Comments
22
Engagement
9.29%

math phd candidate 🧮 🔬dissecting, archiving, & teaching women’s basketball data

www.maddybrown.digital