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it3nye's team

10

77 kills · 5 players

de_cache · 41 min

23 rounds · 2026-05-31

Europe 5v5 Queue

Winner · 0kmain's team

13

84 kills · 5 players

Top fragger

monqOr

24 kills

Top impact

monqOr

107 ADR

Util damage

s500

146 HP

Weak spots this match

vs lifetime baseline
  • Mefrozz

    HS % 31% (avg 48%)

    -35%
  • Mefrozz

    K/D 0.76 (avg 1.13)

    -33%

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.

it3nye's team

6 · 4

WATERPLZ-

4

20/17/2 · 2034 dmg

ADR

88

HS%

75

K/D

1.18

Entry 2/0Multi 2Util 67AWP 1Pistol 1

666YFEVER999

L92

20/16/6 · 2194 dmg

ADR

95

HS%

45

K/D

1.25

Entry 5/0Multi 1Util 77AWP 3Pistol 4

naimaaannn

L93

15/18/2 · 1719 dmg

ADR

75

HS%

47

K/D

0.83

Entry 2/0Multi 1Util 17AWP 1Pistol 2

Mefrozz

L91

13/17/5 · 1740 dmg

ADR

76

HS%

31

K/D

0.76

Entry 2/0Multi 1Util 60AWP 6Pistol 2
HS % -35%K/D -33%

it3nye

L9

9/17/9 · 1195 dmg

ADR

52

HS%

44

K/D

0.53

Entry 2/0Util 5Pistol 4

0kmain's team

6 · 7

monqOr

L92

24/18/3 · 2469 dmg

ADR

107

HS%

38

K/D

1.33

Entry 2/0Multi 3Util 101AWP 5Pistol 1

s500

L95

22/13/8 · 2459 dmg

ADR

107

HS%

64

K/D

1.69

Entry 4/0Multi 2Util 146Pistol 2

Akohi4

L93

19/15/3 · 1942 dmg

ADR

84

HS%

58

K/D

1.27

Entry 3/0Util 57AWP 4Pistol 6
K/D +23%HS % +16%

staxlyy

L91

10/16/5 · 1319 dmg

ADR

57

HS%

80

K/D

0.62

Multi 1Util 38AWP 1Pistol 3

0kmain

L92

9/18/3 · 1125 dmg

ADR

49

HS%

44

K/D

0.50

Entry 1/0Util 17AWP 1Pistol 3

Half-by-half

First half

6 · 6

Second half

4 · 7

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.