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Fedtmule67's team

6

62 kills · 5 players

de_nuke · 30 min

19 rounds · 2026-05-12

Europe 5v5 Queue

Winner · N1K0B's team

13

76 kills · 5 players

Top fragger

Pusiboi

26 kills

Top impact

Pusiboi

112 ADR

Util damage

Rqchi

259 HP

Weak spots this match

vs lifetime baseline
  • Fedtmule67

    HS % 41% (avg 56%)

    -27%
  • Fedtmule67

    K/D 1.06 (avg 1.34)

    -21%

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.

Fedtmule67's team

2 · 4

Fedtmule67

L102

17/16/1 · 1619 dmg

ADR

85

HS%

41

K/D

1.06

Entry 3/0Multi 1Util 102Pistol 6
HS % -27%K/D -21%

Tomppaw

L83

16/13/5 · 1684 dmg

ADR

89

HS%

69

K/D

1.23

Entry 4/0Multi 1Util 55AWP 1Pistol 2
HS % +50%K/D +19%

DEADMANHACHI

L6

12/15/1 · 1073 dmg

ADR

57

HS%

33

K/D

0.80

Entry 2/0Util 29Pistol 2

karppow

L101

12/16/7 · 1559 dmg

ADR

82

HS%

33

K/D

0.75

Entry 3/0Util 105AWP 2Pistol 2

ellamau

L3

5/16/7 · 1104 dmg

ADR

58

HS%

20

K/D

0.31

Util 24

N1K0B's team

10 · 3

Pusiboi

L106

26/11/1 · 2118 dmg

ADR

112

HS%

38

K/D

2.36

Entry 2/0Multi 3Util 167AWP 2Pistol 6

0t5ku

L52

17/8/4 · 1696 dmg

ADR

89

HS%

35

K/D

2.12

Entry 2/0Multi 2Util 45Pistol 5
HS % -13%K/D +121%ADR +32%

N1K0B

L83

13/16/5 · 1481 dmg

ADR

78

HS%

69

K/D

0.81

Entry 1/0Util 122Pistol 1

Rqchi

L61

11/13/6 · 1482 dmg

ADR

78

HS%

55

K/D

0.85

Entry 2/0Multi 1Util 259Pistol 1

eppe-

L101

9/14/7 · 1158 dmg

ADR

61

HS%

33

K/D

0.64

Util 27AWP 1Pistol 2

Half-by-half

First half

2 · 10

Second half

4 · 3

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.