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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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Insomnia70ยท T3 ONLINE BO5
FINAL 10 Apr 2023 14:03 UTC
eMasters
eMasters
Elo 1484
3 โ€“ 0
Winner: eMasters
OC
Ocelot
Elo 1490
CQ-GESUS CS2-APEX SHAP
AUC 0.702 54% CONF WRONG
eMasters 46.0% 54.0% Ocelot
Why this prediction?
โˆ’100.0 Elo advantage
+84.2 Elo implied probability
+75.5 Elo win probability
โˆ’46.2 Schedule difficulty edge
โˆ’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)
nuke
16 โ€“ 3
eMasters
inferno
16 โ€“ 13
eMasters
anubis
10 โ€“ 16
Ocelot
de_nuke
nuke
16 โ€“ 3
eMasters WON
Round timeline loading โ€” available after demo parsing
Round โ€” Player Stats
Player K D A HS ADR KAST
Player Rating K D A HS% ADR KAST
eMasters โ˜… won this map
dexter AU
1.33 14 10 0 0% 75.1 84.2%
Ocelot
2high MK
1.32 20 15 0 0% 104.0 63.2%
Highlights available for subscribers Sign in
de_inferno
inferno
16 โ€“ 13
eMasters WON
Round timeline loading โ€” available after demo parsing
Round โ€” Player Stats
Player K D A HS ADR KAST
Player Rating K D A HS% ADR KAST
Ocelot
2high MK
1.39 26 20 0 0% 99.2 72.4%
eMasters โ˜… won this map
dexter AU
1.07 21 17 0 0% 64.7 79.3%
Highlights available for subscribers Sign in
de_anubis
anubis
10 โ€“ 16
Ocelot WON
Round timeline loading โ€” available after demo parsing
Round โ€” Player Stats
Player K D A HS ADR KAST
Player Rating K D A HS% ADR KAST
Ocelot โ˜… won this map
2high MK
1.87 33 17 0 0% 114.7 69.2%
eMasters
dexter AU
1.11 19 17 0 0% 77.2 76.9%
Highlights available for subscribers Sign in
๐Ÿ’ฐ
Economy data not yet available
Available after demo parsing completes
๐Ÿ“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.