u/Reez4thewin

blueprntanalytics.com

Every so often we hear during a tv broadcast "what do the analytics say to do in this situation?" or "the analytics guys are ruining the game". I'm personally a guy who likes to spend ~20-30min every night before bed on the ESPN app browsing through box scores to see who played well, who didn't play well, who had a good +/-, etc. The question I always ask myself however is, does viewing data have to be so boring? Or, how can we view advanced analytics in a way that's quickly digestible?

Often times in my profession working with the federal government the common theme is someone needs to have a PhD in Data Science or higher education to be a reputable source OR have the ability to analyze complex datasets. I built Blueprint to break down that barrier to entry. The basketball analytics tools out right now have random tables with flashes of green & red but it's never clear what that actually means.

Throughout the 2026-2027 season my app will update each morning with fresh stats for each team that played the previous day. It includes advanced analytics for each D1 team in the nation. It also includes a game predictor called 'Prediction Engine'.

Would love to hear folks thoughts and ideas on how I can make the application better leading up to the season.

https://blueprntanalytics.com/

Every so often we hear during a tv broadcast "what do the analytics say to do in this situation?" or "the analytics guys are ruining the game". I'm personally a guy who likes to spend ~20-30min every night before bed on the ESPN app browsing through box scores to see who played well, who didn't play well, who had a good +/-, etc. The question I always ask myself however is, does viewing data have to be so boring? Or, how can we view advanced analytics in a way that's quickly digestible?

Often times in my profession working with the federal government the common theme is someone needs to have a PhD in Data Science or higher education to be a reputable source OR have the ability to analyze complex datasets. I built Blueprint to break down that barrier to entry. The basketball analytics tools out right now have random tables with flashes of green & red but it's never clear what that actually means.

Throughout the 2026-2027 season my app will update each morning with fresh stats for each team that played the previous day. It includes advanced analytics for each D1 team in the nation. It also includes a game predictor called 'Prediction Engine'. Would love to hear folks thoughts and ideas on how I can make the application better leading up to the season. Cheers!