Monday, February 27, 2017


With the rise in competition and battle for the top spots in competitive sports such as football, more data is needed. However, with the current state of data there is limited upward movement. This has caused an increase in a need for geo spatial data, that can be concluded by GIS work.

Using tracking data and event data, maps are able to be constructed to represent this data form the game. By first mapping the field itself, you can use spatial elements such as the players, ball, and referees to get spatial data. This blog analyzes that while it is in the beginning phases, the door is open for GIS to model a game more concretely than current practices in the future. The lacking knowledge is how this data can be connected to represent the game as a whole instead of "snapshots" of individual portions.

Kotzbek, G., & Kainz, W. (2014). Football Game Analysis: A New Application Area for Cartographers and GI-Scientists. In Proceedings (Vol. 1, pp. 299-306).


  1. What is the purpose of this data? What can it be used for? I understand that it can track players and where the ball goes over the course of a game, but I wonder if it could be used to possibly determine an outcome of a game?

  2. I'm really intrigued about the use of GIS in sports. Do you think it could potentially give teams an entirely new way to strategize? Do you see an flaws that might make playing unfair?

  3. Like Amara, I think that this style of GIS might offer new ways to study a team by potentially looking at their tendencies through out games, like if they run/pass to the left or right more. There also might be a way to tie this to an area of the field where there is high collision rates that could potentially be a known risk for the runners and the coaches might be able to find a way to avoid that by calling different plays in certain areas of the field.