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CS2 match analytics & AI predictions
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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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Updates every 30 seconds

Match scores, map state and predictions refresh instantly.

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HLTV, Liquipedia, GRID

Sourced, normalised, and exposed via API.

T3
RM

RMU

Form
L L L W L W W L
Elo 1480 37.5% WR 3W–5L 0 players
1480
ELO RATING
Elo Rating
1480
Win Rate
37.5%
W – L
3–5
Roster
0
Map Win Rates
overpass
40.0% 2/5
nuke
16.7% 1/6
dust2
33.3% 1/3
inferno
33.3% 1/3
Recent Results
L
RMU 0–3 UCSC
27 Apr L
York 3–0 RMU
27 Apr L
Masked 2–0 RMU
03 Dec W
RMU 2–0 Reign
30 Nov L
RMU 0–3 Final Feature
29 Nov W
RMU 3–0 4US
28 Nov W
Illini 0–1 RMU
11 Nov L
RMU 0–5 York
15 Apr
👥
Roster information not available
Recent Matches
3W–5L · 37.5% WR
L
RMU 0–3 UCSC
CSL 2019 Spring Finals
27 Apr 2019
 L
York 3–0 RMU
CSL 2019 Spring Finals
27 Apr 2019
 L
Masked 2–0 RMU
ESEA Advanced Season 29 North America
03 Dec 2018
 W
RMU 2–0 Reign
ESEA Advanced Season 29 North America
30 Nov 2018
 L
RMU 0–3 Final Feature
ESEA Advanced Season 29 North America
29 Nov 2018
 W
RMU 3–0 4US
ESEA Advanced Season 29 North America
28 Nov 2018
 W
Illini 0–1 RMU
Showmatch CS
11 Nov 2018
 L
RMU 0–5 York
AVGL Spring 2018 Finals
15 Apr 2018
Elo by Map
Map Win Rates
overpass
40.0% 2/5
nuke
16.7% 1/6
dust2
33.3% 1/3
inferno
33.3% 1/3
Map Elo Breakdown
cobblestone
1484
train
1484
vertigo
1484
ine
1481
m
1500
mirage
1500
dust2
1489
inferno
1490
nuke
1463
overpass
1491
🎬
No highlights yet
Highlights are generated automatically as matches are processed