NTDevLab / CSP
CSP.GG — CS2 matches and predictions
Outcome probabilities, team form, maps and lineups for Counter-Strike 2. Open statistics of the CSP model results and a live mode during matches.
- Python
- FastAPI
- ML
- PostgreSQL
- Active project
- Interface languages: RU / EN
The problem it solves
Following CS2 teams and maps manually takes hours. CSP collects match data and turns it into outcome probabilities and readable team form statistics.
Data and ML
The model uses match results, map statistics and team form data. The ML pipeline and result validation are maintained by NTDevLab.
The NTDevLab approach
The prediction is published before the event and is never rewritten afterwards: the open history keeps both hits and misses, so model accuracy can be checked independently.