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Winner · fcTatsuya's team

1

99 kills · 5 players

de_inferno · 43 min

1 rounds · 2025-09-29

Europe 5v5 Queue

Demoulin's team

0

75 kills · 5 players

Top fragger

Ayyanchik

28 kills

Top impact

Ayyanchik

120 ADR

Util damage

ffduple

349 HP

Weak spots this match

vs lifetime baseline
  • Demoulin

    K/D 0.68 (avg 1.05)

    -35%
  • Demoulin

    ADR 57 (avg 77)

    -26%
  • Demoulin

    HS % 31% (avg 40%)

    -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.

fcTatsuya's team

7 · 6

Ayyanchik

L610

28/14/8 · 2871 dmg

ADR

120

HS%

36

K/D

2.00

Entry 7/0Multi 3Util 153

fcTatsuya

L63

26/12/5 · 2463 dmg

ADR

103

HS%

69

K/D

2.17

Entry 3/0Multi 3Util 143Pistol 5
HS % +41%K/D +38%

fcMakS0N

L4

20/18/7 · 2239 dmg

ADR

93

HS%

40

K/D

1.11

Entry 2/0Multi 1Util 159Pistol 1

__vovan41k__

L5

15/17/10 · 1943 dmg

ADR

81

HS%

40

K/D

0.88

Entry 3/0Util 209

7matan71

L3

10/14/5 · 1192 dmg

ADR

50

HS%

30

K/D

0.71

Util 69AWP 4Pistol 3

Demoulin's team

5 · 6

sivnzz

L55

26/18/1 · 1986 dmg

ADR

83

HS%

38

K/D

1.44

Multi 3Util 20Pistol 3

Psico97

L54

15/21/11 · 2012 dmg

ADR

84

HS%

47

K/D

0.71

Entry 5/0Util 348Pistol 3

Demoulin

L5

13/19/4 · 1355 dmg

ADR

57

HS%

31

K/D

0.68

Entry 3/0Util 5AWP 2Pistol 3
K/D -35%ADR -26%

raphaelpb

L41

11/21/8 · 2038 dmg

ADR

85

HS%

36

K/D

0.52

Util 181Pistol 2

ffduple

L31

10/20/7 · 1565 dmg

ADR

65

HS%

60

K/D

0.50

Entry 1/0Util 349Pistol 1

Half-by-half

First half

7 · 5

Second half

6 · 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.