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-skv1z-'s team

9

81 kills · 5 players

de_dust2 · 43 min

22 rounds · 2026-06-01

Europe 5v5 Queue

Winner · mitsuru's team

13

80 kills · 5 players

Top fragger

pampers_aura

22 kills

Top impact

pampers_aura

102 ADR

Util damage

xNighte13

149 HP

Weak spots this match

vs lifetime baseline
  • PtEnC1k

    HS % 27% (avg 41%)

    -34%
  • PtEnC1k

    K/D 0.88 (avg 1.16)

    -24%

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.

-skv1z-'s team

5 · 4

ob1qs

L71

21/16/5 · 1873 dmg

ADR

85

HS%

33

K/D

1.31

Entry 5/0Multi 1Util 94AWP 9Pistol 4

-skv1z-

L82

17/18/3 · 1904 dmg

ADR

87

HS%

53

K/D

0.94

Entry 4/0Multi 2Util 52AWP 7Pistol 1
K/D -10%ADR +11%

PtEnC1k

L9

15/17/8 · 1778 dmg

ADR

81

HS%

27

K/D

0.88

Entry 4/0Util 54AWP 1Pistol 2
HS % -34%K/D -24%

dynatos_

L83

15/13/1 · 1521 dmg

ADR

69

HS%

73

K/D

1.15

Multi 2Util 74Pistol 2

xNighte13

3

13/16/5 · 1823 dmg

ADR

83

HS%

15

K/D

0.81

Entry 2/0Multi 1Util 149AWP 1

mitsuru's team

7 · 6

pampers_aura

L81

22/16/2 · 2238 dmg

ADR

102

HS%

36

K/D

1.38

Multi 2Util 29AWP 13Pistol 1

sAzik8

L81

16/15/2 · 1416 dmg

ADR

64

HS%

50

K/D

1.07

Entry 3/0Util 49Pistol 2

_KYNE_

L82

14/19/10 · 1956 dmg

ADR

89

HS%

43

K/D

0.74

Entry 1/0Multi 1Util 27Pistol 2

mitsuru

L83

14/15/5 · 1604 dmg

ADR

73

HS%

57

K/D

0.93

Multi 2Util 14AWP 1Pistol 4

s1vox

L86

14/17/3 · 1215 dmg

ADR

55

HS%

57

K/D

0.82

Entry 3/0Multi 1Util 37AWP 5Pistol 3

Half-by-half

First half

5 · 7

Second half

4 · 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.