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Counter-Strike 2 Intelligence

Real-time CS2 match data, event highlights and AI predictions.

UK-based analytics built for serious CS2 teams, content creators and quant traders. Live scores, historic match features, and data-driven insight from an independent Counter-Strike research platform.

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Copenhagen Games 2017Β· T3 ONLINE BO3
FINAL 14 Apr 2017 18:10 UTC
EX
eXtatus
Elo 1563
0 – 1
North Academy
North Academy
Elo 1593
CQ-GESUS CS2-APEX SHAP
AUC 0.702 54% CONF CORRECT
eXtatus 46.0% 54.0% North Academy
Why this prediction?
βˆ’100.0 Elo advantage
+84.2 Elo implied probability
+75.5 Elo win probability
βˆ’46.2 Schedule difficulty edge
βˆ’37.7 Avg opponent quality diff
+32.5 Consensus Win Prob Team1
+29.3 Days since last match (T1)
+26.6 Glicko2 rating (T2)
+25.2 Elo (T1)
+24.7 Glicko2 rating (T1)
train
? – ?
North Academy
de_train
train
? – ?
North Academy WON
Round timeline loading β€” available after demo parsing
πŸ“Š
Player stats not yet available
Appears after demo parsing completes
πŸ’°
Economy data not yet available
Available after demo parsing completes
πŸ“Š
Advanced stats require demo parsing
Available after the demo pipeline processes this match
Quantum Locked

Quantum signals require Uranium-tier data: <10% null features.