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Advanced, detail-oriented, easy-to-understand college basketball analytics. Explore game predictions, lineups, visuals & more at https://nitter.cf/t.co/gKNm09hy6T.

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Joined August 2026
Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)Photo by Blueprint Analytics (@BlueprintData)
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Blueprint replaces clunky tables and raw data dumps with clean, interactive visuals for coaches, media, and fans. Give it a spin and let us know what you think: 🎈 blueprntanalytics.com/
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Dig into Blueprint for an in-depth breakdown of any team during the season! Here's our shooting breakdown for George Washington vs. Navy from yesterday
🧵 Thread: A look at Game Matrix in Blueprint for yesterday's matchup between Georgetown & Loyola (MD) 📈 1H vs. 2H + shooting breakdowns for both teams 👇 Loyola grabbed 15 defensive rebounds in the second half (only 8 in the first half)
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Happy Sunday! 🎈 As of this morning, our Launch Phase has officially ended. 7-day free trials are now available so you can try Blueprint Unlimited before committing! Feel free to reach out if you have any questions 😀 blueprntanalytics.com/subscr…
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Happy Friday to all of our new Blueprint users! 🎈 We appreciate the support and are committed to delivering killer features and content all season long. blueprntanalytics.com
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🧵Kills spark huge momentum shifts. Our Kill Tracker shows who was on the floor for both teams and highlights in neon green if a team scored during the kill window. Here is an example from the George Washington vs. New Mexico NIT matchup on Sun, March 22.
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George Washington achieved 4 kills total throughout the game, all occurring in the first half. Using the minute toggle in Game Matrix, you can easily see that kills #3 & #4 occurred between the 13-minute mark and halftime.
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Blueprint will be the go-to platform for your daily college basketball analytics needs ☕️. There's power in formatting data so that any audience can understand what they're reading. That's what we're building every single day. Stay tuned for more! blueprntanalytics.com
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Here's a breakdown of conferences for teams currently in the AP Preseason Top 25: Check it out on Blueprint! 📈 blueprntanalytics.com/rankin…
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MTC Media @A10MBB Preseason Poll
🤖 Made with AI
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🧵 Here's an example of how impactful Game Matrix can be for your postgame analysis! This is for the legendary UConn vs. Duke game at Capital One Arena on March 29. Using the Minute Window Toggle, you can filter for the last 5 minutes of regulation (35min-40min) more below 🔽
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Game Matrix adjusts to the minute window instantly. In the last 5 minutes of the game, UConn was an effective 2/3 from 3PT range and 3/5 from the paint area. The 'Team Stats' window also rapidly adjusts for the minute window so you can measure stats & efficiency.
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On the flip side, you can filter for the other team in Game Matrix and view how they performed during that stretch. Here you can see Duke was an efficient 2/4 shooting in the last 5-minutes, but their 3 turnovers were crticial. blueprntanalytics.com
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🚨 🧵Game Matrix Update Thread Game Matrix is continuing to grow 👀 Starting with the 'Overview' tab, the Team Stats feature provides context for each metric compared to the opposing team for faster analysis. (thread below in comments) blueprntanalytics.com
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We've also moved the MOST important feature of Game Matrix, the minute toggle up besides the 'Minute Window' scoreboard. Make sure to play with this feature and filter for the minute interval you wish during any game and see how the analytics change 📊 blueprntanalytics.com
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Lastly, under the 'Player Share Breakdown' tab, we've added minutes (exact minutes:seconds), +/- and some additional color coding for faster analysis. Create your free account today: blueprntanalytics.com
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Thanks for the collaboration @mtcmediasports ! This is just the beginning 📈 🧨
This is why MTC Media is working with @BlueprintData all season. The data breakdown is unmatched. Here's @kayvaunnn breakdown from last season: #HoyaSaxa
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🚨 New Feature Inside of Player Hub we've enhanced the Shot Diet visual for every singe player. Our curiosity for shooting performance relative to when shots are taken in a game led to this new feature!
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In the example above, you can see Cayden Boozer (Duke) last season attempted 61% of his shots from the paint, 8% from mid-range and 31% from 3pt land. Here you also see between halftime and the 30min window of games, he shot an effective 38% from 3pt range.
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This feature allows you to filter for any # of games throughout a given season. The upgrade answers this question easily: Against UConn on March 29th & St. John's on March 27th, how well did Cayden Boozer shoot during the 10min-Halftime window?
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