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-Kalashnikov's team

10

77 kills · 5 players

de_dust2 · 36 min

23 rounds · 2026-06-04

South America 5V5 Queue

Winner · pedrolvrr's team

13

92 kills · 5 players

Top fragger

pedrolvrr

35 kills

Top impact

pedrolvrr

152 ADR

Util damage

pedrolvrr

307 HP

Weak spots this match

vs lifetime baseline
  • luukz

    HS % 15% (avg 41%)

    -63%
  • luukz

    K/D 0.65 (avg 1.13)

    -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.

-Kalashnikov's team

4 · 6

joaomolfer

L63

21/18/6 · 1942 dmg

ADR

84

HS%

43

K/D

1.17

Entry 1/0Multi 2Util 241Pistol 2

peperiloke

L72

16/18/6 · 1892 dmg

ADR

82

HS%

31

K/D

0.89

Entry 2/0Multi 2Util 9AWP 1Pistol 1

zh4k3r

L61

15/20/6 · 1971 dmg

ADR

86

HS%

60

K/D

0.75

Entry 2/0Util 220AWP 1Pistol 8

luukz

L71

13/20/4 · 1647 dmg

ADR

72

HS%

15

K/D

0.65

Entry 2/0Multi 1Util 68AWP 1Pistol 1
HS % -63%K/D -42%

-Kalashnikov

L63

12/17/6 · 1450 dmg

ADR

63

HS%

33

K/D

0.71

Entry 2/0Util 243Pistol 3

pedrolvrr's team

8 · 5

pedrolvrr

L96

35/15/7 · 3496 dmg

ADR

152

HS%

43

K/D

2.33

Entry 6/0Multi 6Util 307Pistol 7

Guilhermin15

L72

21/15/4 · 2129 dmg

ADR

93

HS%

43

K/D

1.40

Entry 3/0Multi 2Util 179AWP 5Pistol 4

Bigott

L63

15/16/9 · 1855 dmg

ADR

81

HS%

53

K/D

0.94

Entry 4/0Util 131Pistol 1

Pont3s

L62

13/14/5 · 1579 dmg

ADR

69

HS%

31

K/D

0.93

Entry 1/0Util 166Pistol 3

simxz

L4

8/19/4 · 861 dmg

ADR

37

HS%

0

K/D

0.42

Util 122AWP 2Pistol 1

Half-by-half

First half

4 · 8

Second half

6 · 5

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.