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dumbaks333's team

10

79 kills · 5 players

de_anubis · 43 min

23 rounds · 2026-04-05

Europe 5v5 Queue

Winner · dollxx's team

13

87 kills · 5 players

Top fragger

vano_while

25 kills

Top impact

_impliix

112 ADR

Util damage

_impliix

399 HP

Weak spots this match

vs lifetime baseline
  • zhvndv

    K/D 0.53 (avg 1.19)

    -55%
  • zhvndv

    ADR 52 (avg 86)

    -40%

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.

dumbaks333's team

5 · 5

vano_while

L101

25/16/3 · 2550 dmg

ADR

111

HS%

44

K/D

1.56

Entry 6/0Multi 2Util 2AWP 5Pistol 5

dumbaks333

L83

17/18/7 · 1601 dmg

ADR

70

HS%

35

K/D

0.94

Entry 1/0Multi 2Util 31AWP 2Pistol 3

BorlandMLP

L94

16/18/8 · 2054 dmg

ADR

89

HS%

38

K/D

0.89

Entry 2/0Multi 1Util 115Pistol 3

fabulous440

L82

12/18/4 · 1315 dmg

ADR

57

HS%

17

K/D

0.67

Entry 4/0Util 29AWP 4Pistol 4

zhvndv

L9

9/17/4 · 1196 dmg

ADR

52

HS%

44

K/D

0.53

Util 45Pistol 2
K/D -55%ADR -40%

dollxx's team

7 · 6

_impliix

L93

22/15/8 · 2566 dmg

ADR

112

HS%

18

K/D

1.47

Entry 1/0Multi 1Util 399AWP 1Pistol 4

oreke2701

L92

20/20/4 · 2075 dmg

ADR

90

HS%

45

K/D

1.00

Entry 2/0Multi 1Util 94Pistol 1

SolzOne1

L92

18/13/5 · 2000 dmg

ADR

87

HS%

50

K/D

1.38

Entry 3/0Util 22Pistol 1

alserzz

L85

15/15/3 · 1559 dmg

ADR

68

HS%

27

K/D

1.00

Entry 2/0Multi 1Util 47AWP 8Pistol 2

dollxx

L91

12/16/3 · 1437 dmg

ADR

63

HS%

75

K/D

0.75

Entry 2/0Multi 1Util 10Pistol 4

Half-by-half

First half

5 · 7

Second half

5 · 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.