Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Valuing Player Actions in Counter-Strike: Global Offensive   Esports, despite its expanding interest, lacks fundamental sports analytics
resources such as accessible data or proven and reproducible analytical
frameworks. Even Counter-Strike: Global Offensive (CSGO), the second most
popular esport, suffers from these problems. Thus, quantitative evaluation of
CSGO players, a task important to teams, media, bettors and fans, is difficult.
To address this, we introduce (1) a data model for CSGO with an open-source
implementation; (2) a graph distance measure for defining distances in CSGO;
and (3) a context-aware framework to value players' actions based on changes in
their team's chances of winning. Using over 70 million in-game CSGO events, we
demonstrate our framework's consistency and independence compared to existing
valuation frameworks. We also provide use cases demonstrating high-impact play
identification and uncertainty estimation.

27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph