Visualization of sports statistics is proven to improve the performance and training of athletes. Sports teams use several different types of software systems to help them visualize the data gathered from their games. We created a software system that visualizes and filters game data to help Linköping Hockey Club (LHC) develop and evaluate their goalkeepers. The current systems employed by LHC were evaluated to identify the missing desired features. We also identified the most effective types of visualization for LHC through an iterative development process and avid testing. The developed application works as a complementary tool to the currently used systems and uses data directly exported from those systems. A short usability test was done on a prototype and the final product. The final version of the application scored 92.5 of 100, which indicates that the software and layout are well designed.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-177903 |
| Date | January 2021 |
| Creators | Carsting, Tim, Gummesson, Jens |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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