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Winner · Fasster's team

13

89 kills · 5 players

de_mirage · 35 min

23 rounds · 2026-06-05

Europe 5v5 Queue

SIYASALTURK's team

10

79 kills · 5 players

Top fragger

Fasster

25 kills

Top impact

Fasster

108 ADR

Util damage

-mostyy

179 HP

Weak spots this match

vs lifetime baseline
  • geil

    HS % 35% (avg 51%)

    -31%
  • geil

    K/D 1.05 (avg 1.39)

    -24%

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.

Fasster's team

8 · 5

Fasster

L54

25/15/6 · 2486 dmg

ADR

108

HS%

48

K/D

1.67

Entry 2/0Multi 3Util 147AWP 6Pistol 6
K/D +43%ADR +24%

geil

L74

20/19/6 · 2437 dmg

ADR

106

HS%

35

K/D

1.05

Entry 3/0Util 69AWP 4Pistol 4
HS % -31%K/D -24%ADR +12%

-mostyy

L92

20/16/4 · 2104 dmg

ADR

92

HS%

40

K/D

1.25

Entry 3/0Multi 1Util 179Pistol 4

Limikras

L62

15/17/4 · 1707 dmg

ADR

74

HS%

40

K/D

0.88

Entry 1/0Multi 1Util 19Pistol 3

behadini

L41

9/13/6 · 928 dmg

ADR

40

HS%

44

K/D

0.69

Util 137Pistol 3

SIYASALTURK's team

4 · 6

SIYASALTURK

L73

23/16/3 · 2384 dmg

ADR

104

HS%

39

K/D

1.44

Entry 2/0Multi 1Util 110AWP 4Pistol 7

WeLoop

L83

23/18/6 · 2260 dmg

ADR

98

HS%

70

K/D

1.28

Entry 6/0Multi 2Util 31Pistol 5

Marionette12

L64

16/20/5 · 1883 dmg

ADR

82

HS%

75

K/D

0.80

Entry 3/0Multi 1Util 39Pistol 6

marcoasensik

L7

9/20/5 · 1280 dmg

ADR

56

HS%

56

K/D

0.45

Entry 3/0Util 9Pistol 3

Emirtmzl

L5

8/18/4 · 1048 dmg

ADR

46

HS%

38

K/D

0.44

Multi 1Util 106Pistol 1

Half-by-half

First half

8 · 4

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.