CS2PREDICT uses multiple independent AI models to predict the outcome of professional CS2 matches. Each model analyzes different aspects of the game — from pure skill ratings to psychological momentum to team chemistry. No single model is perfect, but together they provide a comprehensive view of each matchup.
When a new match appears on HLTV, our system automatically:
| ELO family ELO, ELOHQ, ELOFACE, TIER, TIER2, TIER3 | Skill-based ratings. ELO tracks overall team strength. TIER variants focus on top-30 teams where data is richest. ELOFACE adds training activity signals. |
| Form & H2H OPEN, PRO, MAJOR, FORM | Combine HLTV ranking with recent form, head-to-head history, and match format. PRO and MAJOR are tuned for high-stakes events. |
| Psychology MIND, STREAK | Track mental state — tilt from losing streaks, momentum from winning streaks, recovery patterns after losses. |
| Player-based SQUAD, SOS, WR10 | Analyze individual player performance. SQUAD uses per-player ratings. SOS factors in opponent strength. WR10 focuses on win rate against top-10 teams. |
| Ensemble APEX, PHANTOM, ORACLE, EAGLE | Combine multiple signals. ORACLE blends ELO + form + tilt + SOS. EAGLE adds win rate data. These combine multiple signals for higher accuracy. |
Results are checked every 10 minutes. When a match completes:
We classify matches into tiers based on team rankings and tournament importance:
All data comes from HLTV.org — the authoritative source for professional CS2 statistics. We collect match results, player box scores, team rankings, and tactical profiles (Rating 3.0 radar). Data refreshes every 5 minutes for matches and daily for player profiles.