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Winner · Lamboki's team

1

67 kills · 5 players

de_mirage · 23 min

1 rounds · 2024-09-28

COMPETITIVE 5v5

ya-aguSha's team

0

38 kills · 4 players

Top fragger

Lamboki

18 kills

Top impact

mexa_04

139 ADR

Util damage

Lamboki

84 HP

Weak spots this match

vs lifetime baseline
  • ya-aguSha

    K/D 0.43 (avg 0.86)

    -50%
  • reternal

    HS % 33% (avg 47%)

    -30%
  • otterTF

    K/D 0.69 (avg 0.96)

    -28%
  • reternal

    ADR 35 (avg 42)

    -18%

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.

Lamboki's team

11 · 2

Lamboki

L43

18/6/5 · 1684 dmg

ADR

120

HS%

56

K/D

3.00

Entry 1/0Multi 1Util 84AWP 2Pistol 2

mexa_04

L33

18/7/5 · 1949 dmg

ADR

139

HS%

17

K/D

2.57

Entry 5/0Multi 2Util 54Pistol 2

winsloow1337

L53

14/11/5 · 1456 dmg

ADR

104

HS%

14

K/D

1.27

Entry 3/0Multi 2Util 34AWP 7Pistol 1

N1ce_7q

L32

13/7/2 · 1077 dmg

ADR

77

HS%

54

K/D

1.86

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

Dauzal

L32

4/7/6 · 682 dmg

ADR

49

HS%

75

K/D

0.57

Util 4Pistol 2

ya-aguSha's team

1 · 0

holyyow

L31

17/13/3 · 1710 dmg

ADR

122

HS%

65

K/D

1.31

Multi 1Util 40Pistol 1

otterTF

L3

9/13/4 · 1138 dmg

ADR

81

HS%

44

K/D

0.69

Entry 1/0Util 81AWP 2Pistol 3
K/D -28%

ya-aguSha

L4

6/14/4 · 895 dmg

ADR

64

HS%

83

K/D

0.43

Entry 1/0Util 24Pistol 2
K/D -50%HS % +118%

reternal

L4

6/13/0 · 488 dmg

ADR

35

HS%

33

K/D

0.46

Entry 1/0AWP 2Pistol 2
HS % -30%ADR -18%K/D +10%

Half-by-half

First half

11 · 1

Second half

2 · 0

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.