Competitive gaming is a growing market with nearly 500 million fans worldwide.
With professional gaming on the rise, developers are under increased pressure to create
a fair and balanced gameplay experience.

The goal of this thesis is the creation of analysis tools, which support developers of competitive games during the game design process. Although various genres are represented
in competitive gaming, the focus was laid on first person shooter games, specifically the
Counter Strike series of games.

Based on various map design guides, a number of analysis tasks were defined, notably the identification of meeting points and the evaluation of
visibility between map areas.

For this purpose, a general framework for the analysis of game maps and visualization of
analysis data for use in the Unity Editor is implemented. A uniform grid representation
of the walkable map areas, which can be generated for arbitrary maps, forms the basis of
this framework. Additional tools allow the definition of map areas and locations.

Using a Monte Carlo approach, the mutual visibility between map areas is evaluated. The
evaluation is shown to predict possible angles of engagement on the Counter Strike map
de_dust2, as well as reveal possibly unintended sight lines between map areas.

Utilizing the NavMesh and pathfinding components provided by Unity, a distance evaluation tool
was implemented. An evaluation of meeting points for de_dust2 using this tool closely
matched known meeting points for the map.