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4ert1ck's team

10

79 kills · 5 players

de_mirage · 36 min

23 rounds · 2026-05-28

Europe 5v5 Queue

Winner · tatiana's team

13

82 kills · 5 players

Top fragger

mandj0s

26 kills

Top impact

tatiana

114 ADR

Util damage

hopneZ

180 HP

Weak spots this match

vs lifetime baseline
  • 14X

    HS % 27% (avg 39%)

    -31%
  • 14X

    K/D 1.07 (avg 1.35)

    -21%
  • 14X

    ADR 65 (avg 82)

    -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.

4ert1ck's team

3 · 7

mandj0s

L104

26/16/6 · 2376 dmg

ADR

103

HS%

58

K/D

1.62

Entry 4/0Multi 2Util 132Pistol 2

doka

L104

18/16/2 · 1727 dmg

ADR

75

HS%

61

K/D

1.12

Entry 2/0Multi 1Util 22Pistol 2

-woland-

L101

17/14/7 · 2164 dmg

ADR

94

HS%

76

K/D

1.21

Entry 1/0Util 99Pistol 3

4ert1ck

L10

10/19/2 · 1233 dmg

ADR

54

HS%

70

K/D

0.53

Entry 1/0Util 55AWP 1Pistol 2

hopneZ

L101

8/18/5 · 1197 dmg

ADR

52

HS%

25

K/D

0.44

Entry 1/0Util 180Pistol 4

tatiana's team

9 · 4

tatiana

L105

26/15/3 · 2625 dmg

ADR

114

HS%

42

K/D

1.73

Entry 4/0Multi 4Util 23Pistol 3

Xanatyy

L103

18/14/3 · 1780 dmg

ADR

77

HS%

50

K/D

1.29

Entry 3/0Util 140AWP 1Pistol 4
K/D +17%

swtzrlndd

L102

16/18/6 · 1946 dmg

ADR

85

HS%

62

K/D

0.89

Entry 3/0Util 46Pistol 1

14X

L102

15/14/5 · 1501 dmg

ADR

65

HS%

27

K/D

1.07

Entry 2/0Util 69AWP 8
HS % -31%K/D -21%

L1nkero

L101

7/19/3 · 915 dmg

ADR

40

HS%

71

K/D

0.37

Entry 2/0Util 6Pistol 1

Half-by-half

First half

3 · 9

Second half

7 · 4

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.