4+ years building tools, frameworks and providing data
analytics for the DFB-Akademie. We are proud to work with all teams in the German
Football Association.
Code + stats + physics. Make your data speak volumes.
Questions we can answer.
Our analysts spend a lot of time sifting through data. Can we
use algorithms to save them time?
Our next opponent performs well at set-pieces. Does our data
confirm this and how do we respond?
We have a lot of tracking and event data. How can we embrace
this trend and get the most out of it? Can we use it for player health? Fan engagement?
Meet Josh
Josh is a particle physicist by training, receiving his PhD from the
University of Göttingen, Germany. Among other topics, he studied the top-quark at the Large
Hadron Collider at CERN, where he was a member on the ATLAS Collaboration. He is currently
an Affiliate Assistant Professor in the math and stats department at Concordia University. In a previous
life, he was an NCAA Division 1 tennis player. He is excited about the collision of
big data and sports.
... Tony
Tony, also a CERN physicist, received his PhD from the University of Victoria in BC. His
thesis involved working with, at the time, one of the largest datasets in ATLAS. Following graduation, he
took a postdoctoral position at McGill University leading a lab in the construction of new,
state-of-the-art particle detectors and performing the statistical interpretation of a first measurement of
a rare particle physics process. Sports has always been in Tony's life, whether it be watching the big game
on TV or lacing them up and getting on the ice.
... and Christian.
Christian received his PhD in Physics from Toronto Metropolitan University, where he
specialized in
virophysics. Post-PhD, he joined the RIKEN research institute in Japan as a visiting
scientist. His research
focused on advanced spatial and stochastic mathematical models of virus infection dynamics.
He’s an avid
sports enthusiast, and actively engages in powerlifting, beach volleyball, and muay thai. He enjoys tackling
problems in sports analytics as they often provide unique puzzles waiting to be solved.
