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Diane Bloodworth
- Sep 9, 2018
- 2 min
Georgia Tech Basketball Leverages Analytics to Improve Team Performance
The CSA team is fortunate to have some of the most innovative coaches in the country just down the street in the Georgia Tech Men’s Basketball program. Coach Eric Reveno, a Stanford grad, was looking for technology that could support Dan Taylor, Player Development Coach, and the rest of the coaching staff. Coach Taylor is an innovator in the use of analytics to inform player development decisions to improve overall team performance. Our team worked directly with Coach Taylor
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Monisha Longacre and Grace Rieger
- Jul 19, 2018
- 1 min
Check Out our Average scoutSMART statSCOREs by State
Using a unique algorithm to calculate a statSCORE, we were able to determine the best high school football states.
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Monisha Longacre
- Feb 13, 2018
- 2 min
2017 High School Football Stats Reveal Interesting Facts
With the end of another high school football season, we gathered and uploaded the 2017 season’s stats for over 60,000 recruits in the scoutSMART database. Our interactive visualization tools helped us uncover some interesting facts about the upcoming prospects that may help you determine where to look for your next recruits. First, California is home to the largest number of recruits topping off at 7,230 athletes. Texas follows in second place with 6,468 athletes. Rounding ou
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Diane Bloodworth
- Dec 19, 2017
- 2 min
The Role of Academics in Athlete Recruiting
The scoutSMART GHSF Daily All-Academic Team was announced this week. We received a record number of nominations at every position. We are so impressed with these “student-athletes.” They understand what it takes to be successful in life, not just football. However, it raises the question, do we put enough focus on academics in athlete recruiting? Even the best players that are recruited by top D1 programs around the country must meet minimum NCAA academic requirements to ea
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Diane Bloodworth
- Aug 16, 2017
- 2 min
Why Recruiting Analytics?
I had an idea about 20 years ago that technology could help sports teams win. At the time, I was pursuing an MBA at night while working for IBM. At IBM, I was doing work in expert systems (early machine learning). My initial idea was to look at opponent tendencies and develop a winning game plan based on these tendencies. I left IBM and started a consulting business. After that company was acquired, I started customer discovery for game planning analytics. In my discussions w
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