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_GolovA_'s team

2

26 kills · 5 players

de_dust2 · 27 min

15 rounds · 2026-05-05

Europe 5v5 Queue

Winner · -exp3ctm3's team

13

71 kills · 5 players

Top fragger

Erzhanzzzz

20 kills

Top impact

-exp3ctm3

127 ADR

Util damage

slowdivee

104 HP

Weak spots this match

vs lifetime baseline
  • BISHOP_76

    K/D 0.08 (avg 1.05)

    -92%
  • BISHOP_76

    ADR 34 (avg 78)

    -56%
  • YaTo008

    K/D 0.64 (avg 1.03)

    -38%
  • _GolovA_

    K/D 0.71 (avg 0.90)

    -21%

Death map

We can parse this match's demo and plot every death on a 2D radar — full kill timeline, side filter, player highlight. Parsing takes 30-60s the first time (the file is 100-300 MB); subsequent visits are instant from cache.

Demo source: FACEIT's public CDN. We don't store the raw demo — only the parsed event list (deaths, rounds, players) gets persisted, around 50-500 KB per match.

_GolovA_'s team

2 · 0

_GolovA_

L5

10/14/0 · 1041 dmg

ADR

69

HS%

50

K/D

0.71

Util 6
K/D -21%HS % +67%

YaTo008

L51

9/14/3 · 1093 dmg

ADR

73

HS%

44

K/D

0.64

Multi 1Util 29AWP 1Pistol 1
K/D -38%

NOOB228-

L51

5/14/1 · 626 dmg

ADR

42

HS%

20

K/D

0.36

Multi 1Util 4

BISHOP_76

L4

1/13/4 · 511 dmg

ADR

34

HS%

100

K/D

0.08

Pistol 1
K/D -92%ADR -56%HS % +186%

MR_Fiks

L4

1/7/1 · 371 dmg

ADR

25

HS%

0

K/D

0.14

AWP 1

-exp3ctm3's team

10 · 3

Erzhanzzzz

L53

20/4/2 · 1845 dmg

ADR

123

HS%

25

K/D

5.00

Entry 4/0Multi 1Util 59AWP 6

-exp3ctm3

5

18/4/3 · 1898 dmg

ADR

127

HS%

78

K/D

4.50

Entry 3/0Multi 2Util 12AWP 3Pistol 4

slowdivee

2

15/8/1 · 1445 dmg

ADR

96

HS%

67

K/D

1.88

Entry 5/0Multi 1Util 104AWP 1Pistol 4

maffind

L42

12/4/0 · 1264 dmg

ADR

84

HS%

42

K/D

3.00

Entry 3/0Multi 1Pistol 1

kanatbekov11

L41

6/7/3 · 868 dmg

ADR

58

HS%

50

K/D

0.86

Util 7Pistol 3

Half-by-half

First half

2 · 10

Second half

0 · 3

Numbers come from FACEIT's match-stats API directly — the scoreboard is the source of truth. Weak-spot deltas compare this match's metric against each player's lifetime FACEIT average; we flag anything ≥8% off. For death-location heatmaps + crosshair-placement analysis (which require demo parsing) use the "Death heatmap on Scope.gg" link in the header.