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LimonchikKis's team

8

74 kills · 5 players

de_ancient · 34 min

21 rounds · 2026-05-25

Europe 5v5 Queue

Winner · papalewa's team

13

82 kills · 5 players

Top fragger

R4iche1

27 kills

Top impact

R4iche1

118 ADR

Util damage

papalewa

142 HP

Weak spots this match

vs lifetime baseline
  • Sinoptik71

    K/D 0.50 (avg 1.16)

    -57%
  • Sinoptik71

    ADR 66 (avg 85)

    -23%

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.

LimonchikKis's team

4 · 4

R4iche1

L74

27/14/1 · 2476 dmg

ADR

118

HS%

63

K/D

1.93

Entry 5/0Multi 4Util 117AWP 7Pistol 9
HS % +57%K/D +43%

LimonchikKis

L71

17/15/2 · 1590 dmg

ADR

76

HS%

24

K/D

1.13

Entry 3/0Multi 1Pistol 3

oxotnuk666

L71

12/17/8 · 2081 dmg

ADR

99

HS%

42

K/D

0.71

Entry 1/0Util 91Pistol 3

Sinoptik71

L62

9/18/7 · 1389 dmg

ADR

66

HS%

56

K/D

0.50

Entry 3/0Util 82AWP 7
K/D -57%ADR -23%HS % +10%

w8keupp

L3

9/19/3 · 806 dmg

ADR

38

HS%

33

K/D

0.47

Entry 1/0Util 62Pistol 1

papalewa's team

8 · 5

leav3amsg

L85

23/14/3 · 2176 dmg

ADR

104

HS%

52

K/D

1.64

Entry 2/0Multi 2Util 95Pistol 3

papalewa

L52

20/17/3 · 2206 dmg

ADR

105

HS%

30

K/D

1.18

Entry 4/0Multi 3Util 142AWP 9Pistol 3

ajuga

L62

15/16/7 · 1942 dmg

ADR

93

HS%

73

K/D

0.94

Entry 1/0Multi 2Util 12

bur333

L43

15/12/6 · 1551 dmg

ADR

74

HS%

40

K/D

1.25

Entry 1/0Multi 2Util 4Pistol 1

Fa11ingg

L51

9/15/4 · 1113 dmg

ADR

53

HS%

33

K/D

0.60

Util 18AWP 1Pistol 1

Half-by-half

First half

4 · 8

Second half

4 · 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.