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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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ESL Pro League Season 5 Finals· S-TIER ONLINE BO3
FINAL 31 May 2017 21:13 UTC
SK
SK
Elo 1794
1 – 0
Winner: SK
fnatic
fnatic
GB
Elo 1684
CS:GO
CQ-GESUS CS2-APEX SHAP
AUC 0.702 58% CONF WRONG
SK 41.8% 58.2% fnatic
Why this prediction?
−100.0 Elo advantage
+84.2 Elo implied probability
+75.5 Elo win probability
−46.2 Schedule difficulty edge
−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
? – ?
SK
Match Highlights Demo parsed
Top Performers
Top Fragger
SK|felps
3
kills
ADR 185.0
Top Assist
flusha
1
assists
0 flash
Best ADR
SK|felps
185.0
avg dmg/rd
3K 1D
Best KAST
SK|felps
100.0%
KAST
3K 1D
Most HS
SK|felps
1
headshots
33% HS rate
Best K/D
SK|felps
3.00
K/D ratio
3K 1D
de_train
train
? – ?
SK WON
Round Timeline
CT win T win
📊
Player stats not yet available
Appears after demo parsing completes
Match Stats — All Players Combined DEMO PARSED
Player K D A K/D HS% ADR KAST% Rds
⭐ SK|felps t1
3 1 0 3.00 33% 185.0 100.0% 2
SK|coldzera t1
3 0 0 3.00 0% 135.5 100.0% 2
SK|fer t1
2 1 0 2.00 50% 109.5 100.0% 2
JW t2
2 1 0 2.00 50% 100.0 100.0% 2
flusha t2
2 2 1 1.00 50% 148.5 100.0% 2
SK|FALLEN t1
1 2 1 0.50 0% 48.0 100.0% 2
olofmeister t2
1 2 0 0.50 0% 94.5 50.0% 2
dennis t2
1 2 1 0.50 0% 69.0 100.0% 2
SK|TACO t1
0 2 1 0.00 0% 57.0 50.0% 2
KRIMZ t2
0 2 1 0.00 0% 83.0 50.0% 2
Player Awards
🔫
Top Fragger
SK|felps
3 kills
🎯
Headshot Machine
SK|felps
33% HS
3K
Per-Map Player Stats per map · sorted by kills
de_train train 10 players
Player K D A K/D HS% ADR KAST% Impact
⭐
SK|felps
3 1 0 3.00 33% 185.0 100.0% 1.1
SK|coldzera
3 0 0 3.00 0% 135.5 100.0% 1.13
SK|fer
2 1 0 2.00 50% 109.5 100.0% 0.79
SK|FALLEN
1 2 1 0.50 0% 48.0 100.0% 0.25
SK|TACO
0 2 1 0.00 0% 57.0 50.0% -0.09
JW
2 1 0 2.00 50% 100.0 100.0% 0.78
flusha
2 2 1 1.00 50% 148.5 100.0% 0.7
olofmeister
1 2 0 0.50 0% 94.5 50.0% 0.19
dennis
1 2 1 0.50 0% 69.0 100.0% 0.28
KRIMZ
0 2 1 0.00 0% 83.0 50.0% -0.05
de_train train 2 rounds
■ CT Win ■ T Win Click a round to see kill feed
Round 1
T $0 | CT $0
Round 2
T $0 | CT $0
fnatic Eco Rating: 3.3
Avg Equip
$
Util Dmg
0.00
0.0/rd
Opening K
1
100%/rd
Trade Kill Rate 33%
Headshot% 33%
2K
0
3K
2
4K
0
5K
0
SK Eco Rating: 2.2
Avg Equip
$
Util Dmg
0.00
0.0/rd
Opening K
1
100%/rd
Trade Kill Rate 44%
Headshot% 22%
2K
0
3K
0
4K
1
5K
1
fnatic Eco Rating: 3.3
Economy Mastery
Eco Win%
0%
Force Win%
0%
Kill Quality
Headshot%
33%
Trade Rate
33%
Opening K/Rd
100%
Util Dmg/Rd
—
Multi-Kill Rounds
2K
0
3K
2
4K
0
5K
0
Multi-Kill Score: 4
SK Eco Rating: 2.2
Economy Mastery
Eco Win%
0%
Force Win%
0%
Kill Quality
Headshot%
22%
Trade Rate
44%
Opening K/Rd
100%
Util Dmg/Rd
—
Multi-Kill Rounds
2K
0
3K
0
4K
1
5K
1
Multi-Kill Score: 7
Quantum Locked

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

SK
9 – 6
fnatic
Recent Meetings
SK 3 – 0 fnatic Jan 2018 fnatic 0 – 1 SK Jul 2017 SK 3 – 0 fnatic Jun 2017 SK 1 – 0 fnatic May 2017 fnatic 0 – 1 SK May 2017
Player Performance
DEMO PARSED sorted by Impact
Impact = KPR×0.45 − DPR×0.30 + KAST×0.25 + HS%×0.15 + ADR/100×0.15  |  KAST = Kill/Assist/Survived/Traded per round  |  Source: awpy + demoparser2
de_train train 2 rounds
■ CT Win ■ T Win B Bomb planted Buy: Eco Force Buy Click a round to see kill feed
Round 1 1 — 1st half
T $0 | CT $0
T buy: — CT buy: — Bomb planted
Round 2 2 — 1st half
T $0 | CT $0
T buy: — CT buy: — Bomb planted