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gabigln's team

7

66 kills · 5 players

de_inferno · 35 min

20 rounds · 2026-05-30

Europe 5v5 Queue

Winner · yuungbruuh's team

13

83 kills · 5 players

Top fragger

d1bbs

23 kills

Top impact

d1bbs

104 ADR

Util damage

GOAT_FckeR

269 HP

Weak spots this match

vs lifetime baseline
  • Mizzz-_-

    K/D 0.78 (avg 1.03)

    -24%
  • IvgiZ

    HS % 44% (avg 52%)

    -15%

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.

gabigln's team

5 · 2

IvgiZ

L102

16/15/5 · 1749 dmg

ADR

87

HS%

44

K/D

1.07

Multi 1Util 73Pistol 2
HS % -15%K/D -12%

gabigln

L101

14/16/2 · 1553 dmg

ADR

78

HS%

50

K/D

0.88

Entry 1/0Multi 1Util 58Pistol 4

Mizzz-_-

L102

14/18/5 · 1578 dmg

ADR

79

HS%

64

K/D

0.78

Entry 6/0Multi 1Util 18Pistol 2
K/D -24%HS % +25%

GOAT_FckeR

L101

11/17/4 · 1267 dmg

ADR

63

HS%

36

K/D

0.65

Multi 1Util 269AWP 3Pistol 2

RagnaroK-

L101

11/17/7 · 1213 dmg

ADR

61

HS%

82

K/D

0.65

Entry 2/0Util 51Pistol 2

yuungbruuh's team

7 · 6

d1bbs

L104

23/11/2 · 2083 dmg

ADR

104

HS%

39

K/D

2.09

Entry 1/0Multi 3Util 89AWP 14Pistol 2

noxq

L103

18/13/4 · 1738 dmg

ADR

87

HS%

67

K/D

1.38

Entry 2/0Multi 2Util 109Pistol 4

yuungbruuh

L103

17/13/8 · 2083 dmg

ADR

104

HS%

47

K/D

1.31

Entry 4/0Util 181Pistol 2

rulichh

L101

13/14/5 · 1397 dmg

ADR

70

HS%

62

K/D

0.93

Entry 1/0Util 102AWP 1Pistol 2

SEYED

L102

12/15/4 · 1637 dmg

ADR

82

HS%

100

K/D

0.80

Entry 3/0Multi 1Util 166Pistol 5

Half-by-half

First half

5 · 7

Second half

2 · 6

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.