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m1kk0's team

10

78 kills · 5 players

de_ancient · 40 min

23 rounds · 2026-06-03

Europe 5v5 Queue

Winner · KARUKELLAD67's team

13

90 kills · 5 players

Top fragger

m025

25 kills

Top impact

m025

97 ADR

Util damage

KARUKELLAD67

236 HP

Weak spots this match

vs lifetime baseline
  • gile27

    K/D 0.47 (avg 1.14)

    -59%
  • gile27

    ADR 47 (avg 85)

    -45%

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.

m1kk0's team

5 · 5

m025

L106

25/19/4 · 2240 dmg

ADR

97

HS%

44

K/D

1.32

Entry 3/0Multi 6Util 48AWP 3Pistol 1

VR0T_EBAKIN

L103

23/15/3 · 2225 dmg

ADR

97

HS%

52

K/D

1.53

Entry 2/0Multi 2Util 110AWP 1Pistol 9
K/D +40%ADR +16%

m1kk0

L101

12/19/7 · 1666 dmg

ADR

72

HS%

58

K/D

0.63

Util 148Pistol 2

brysu

L10

10/20/7 · 1170 dmg

ADR

51

HS%

30

K/D

0.50

Entry 1/0Util 52AWP 1

gile27

L10

8/17/6 · 1083 dmg

ADR

47

HS%

62

K/D

0.47

Entry 1/0Util 178Pistol 2
K/D -59%ADR -45%HS % +17%

KARUKELLAD67's team

7 · 6

Aym_666

L104

24/13/8 · 2024 dmg

ADR

88

HS%

42

K/D

1.85

Entry 1/0Multi 1Util 34Pistol 5

noxl0l

L103

19/19/5 · 1860 dmg

ADR

81

HS%

37

K/D

1.00

Entry 6/0Multi 1Util 109AWP 2Pistol 1

skype-user

L104

17/15/4 · 1881 dmg

ADR

82

HS%

41

K/D

1.13

Entry 1/0Multi 1Util 165AWP 6Pistol 6

KARUKELLAD67

L102

15/18/13 · 2230 dmg

ADR

97

HS%

40

K/D

0.83

Entry 3/0Util 236Pistol 2

Mroziu666

L10

15/13/8 · 1907 dmg

ADR

83

HS%

73

K/D

1.15

Entry 5/0Util 187Pistol 2

Half-by-half

First half

5 · 7

Second half

5 · 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.