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samperezz's team

6

65 kills · 5 players

de_ancient · 31 min

19 rounds · 2026-05-24

Europe 5v5 Queue

Winner · BUFU-TiG3r's team

13

78 kills · 5 players

Top fragger

3lus1veXD

21 kills

Top impact

Doii14

113 ADR

Util damage

pleban2000

185 HP

Weak spots this match

vs lifetime baseline
  • pleban2000

    K/D 0.53 (avg 0.95)

    -44%
  • pleban2000

    ADR 51 (avg 69)

    -27%

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.

samperezz's team

6 · 0

3lus1veXD

3

21/15/5 · 1985 dmg

ADR

105

HS%

52

K/D

1.40

Entry 1/0Multi 2Util 103Pistol 4

kinsizee

L81

15/15/5 · 1861 dmg

ADR

98

HS%

40

K/D

1.00

Entry 2/0Multi 1Util 115AWP 4Pistol 1

samperezz

L71

13/15/1 · 1511 dmg

ADR

80

HS%

38

K/D

0.87

Multi 1Util 3AWP 2Pistol 3

alek_05

L71

8/18/3 · 898 dmg

ADR

47

HS%

62

K/D

0.44

Entry 2/0Multi 1Util 78Pistol 2

pleban2000

L7

8/15/7 · 959 dmg

ADR

51

HS%

38

K/D

0.53

Util 185
K/D -44%ADR -27%

BUFU-TiG3r's team

6 · 7

TotoSkillaci

L85

21/14/7 · 1783 dmg

ADR

94

HS%

14

K/D

1.50

Entry 4/0Multi 4Util 4AWP 10Pistol 1

Doii14

L74

20/11/7 · 2154 dmg

ADR

113

HS%

55

K/D

1.82

Entry 1/0Multi 1Util 185Pistol 4
K/D +47%HS % +45%

BUFU-TiG3r

L61

14/13/3 · 1495 dmg

ADR

79

HS%

64

K/D

1.08

Entry 3/0Util 14Pistol 3

medeeo

L7

12/17/6 · 1426 dmg

ADR

75

HS%

33

K/D

0.71

Entry 4/0Multi 1Util 82Pistol 4

GReeG0

L83

11/10/7 · 1405 dmg

ADR

74

HS%

55

K/D

1.10

Entry 2/0Util 146Pistol 2

Half-by-half

First half

6 · 6

Second half

0 · 7

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.