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maujesu's team

10

74 kills · 5 players

de_dust2 · 37 min

23 rounds · 2026-06-02

South America 5V5 Queue

Winner · berrian's team

13

82 kills · 5 players

Top fragger

LAURJ

20 kills

Top impact

LAURJ

95 ADR

Util damage

Nik98Maga

307 HP

Weak spots this match

vs lifetime baseline
  • bezeta666

    K/D 0.47 (avg 1.23)

    -62%
  • bezeta666

    ADR 50 (avg 86)

    -42%

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.

maujesu's team

1 · 9

LAURJ

L76

20/15/5 · 2187 dmg

ADR

95

HS%

35

K/D

1.33

Entry 5/0Multi 2Util 25AWP 11Pistol 1

maujesu

L82

16/17/1 · 1789 dmg

ADR

78

HS%

56

K/D

0.94

Entry 2/0Multi 2Util 62Pistol 1

JotaPexD

L51

15/14/4 · 1610 dmg

ADR

70

HS%

80

K/D

1.07

Entry 3/0Multi 2Util 177Pistol 2

RMI_N_BUUR

L6

14/17/4 · 1561 dmg

ADR

68

HS%

50

K/D

0.82

Entry 4/0Util 157AWP 3Pistol 1

bezeta666

L61

9/19/7 · 1152 dmg

ADR

50

HS%

89

K/D

0.47

Entry 1/0Util 60Pistol 2
K/D -62%ADR -42%HS % +41%

berrian's team

11 · 2

berrian

L82

18/14/5 · 2147 dmg

ADR

93

HS%

44

K/D

1.29

Entry 2/0Util 71AWP 4Pistol 3

Nik98Maga

L63

18/15/6 · 1649 dmg

ADR

72

HS%

39

K/D

1.20

Util 307

Abzud

L63

18/13/7 · 1922 dmg

ADR

84

HS%

72

K/D

1.38

Entry 3/0Multi 1Util 276Pistol 5
HS % +38%K/D +16%

ramalibe2002

L53

14/16/6 · 1483 dmg

ADR

65

HS%

36

K/D

0.88

Entry 1/0Multi 1Util 44Pistol 3

Hikavuzoz

L52

14/16/4 · 1574 dmg

ADR

68

HS%

43

K/D

0.88

Entry 2/0Util 146AWP 6Pistol 2

Half-by-half

First half

1 · 11

Second half

9 · 2

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.