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GANRUL's team

11

77 kills · 5 players

de_ancient · 35 min

24 rounds · 2026-06-01

Europe 5v5 Queue

Winner · jinada9's team

13

84 kills · 5 players

Top fragger

GANRUL

22 kills

Top impact

GANRUL

98 ADR

Util damage

-TaiL0ng-

295 HP

Weak spots this match

vs lifetime baseline
  • basst777

    HS % 29% (avg 39%)

    -26%
  • basst777

    K/D 0.78 (avg 0.97)

    -20%

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.

GANRUL's team

8 · 3

GANRUL

L104

22/12/4 · 2362 dmg

ADR

98

HS%

50

K/D

1.83

Entry 2/0Multi 1Util 173AWP 2Pistol 3

E60EnJoyeRr

L103

17/20/8 · 1866 dmg

ADR

78

HS%

47

K/D

0.85

Entry 3/0Multi 3Util 63Pistol 3

basst777

L101

14/18/7 · 1825 dmg

ADR

76

HS%

29

K/D

0.78

Entry 3/0Multi 1Util 264Pistol 1
HS % -26%K/D -20%

zii

L103

13/16/3 · 1464 dmg

ADR

61

HS%

23

K/D

0.81

Entry 2/0Util 180Pistol 2

de5ive

L10

11/18/5 · 1225 dmg

ADR

51

HS%

18

K/D

0.61

Entry 4/0Util 6AWP 2Pistol 2

jinada9's team

4 · 9

rdwanix

L101

22/16/4 · 2356 dmg

ADR

98

HS%

27

K/D

1.38

Entry 3/0Multi 1AWP 10Pistol 4

Kyranin

L104

20/13/4 · 2322 dmg

ADR

97

HS%

55

K/D

1.54

Multi 1Util 181Pistol 6

jinada9

L103

16/15/3 · 1535 dmg

ADR

64

HS%

38

K/D

1.07

Entry 2/0Multi 2Util 116Pistol 1

-TaiL0ng-

L104

14/19/6 · 2083 dmg

ADR

87

HS%

21

K/D

0.74

Entry 4/0Multi 1Util 295Pistol 1

med1an_02

L101

12/14/6 · 1373 dmg

ADR

57

HS%

8

K/D

0.86

Entry 1/0Multi 1Util 16AWP 2Pistol 1

Half-by-half

First half

8 · 4

Second half

3 · 9

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.