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Winner · Shika_meow's team

1

74 kills · 5 players

de_ancient · 28 min

1 rounds · 2025-10-12

Europe 5v5 Queue

CUMcvat's team

0

42 kills · 5 players

Top fragger

Big_Flopster

21 kills

Top impact

Bizzl_17

125 ADR

Util damage

v0d9n01

265 HP

Weak spots this match

vs lifetime baseline
  • Heathcl1f

    HS % 0% (avg 36%)

    -100%
  • Heathcl1f

    ADR 55 (avg 90)

    -39%
  • CUMcvat

    K/D 0.79 (avg 1.26)

    -37%
  • Heathcl1f

    K/D 0.80 (avg 1.02)

    -22%
  • CUMcvat

    ADR 68 (avg 85)

    -20%

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.

Shika_meow's team

9 · 4

Big_Flopster

L73

21/6/1 · 1824 dmg

ADR

107

HS%

48

K/D

3.50

Entry 3/0Multi 2Util 33Pistol 1
K/D +100%ADR +21%

Bizzl_17

L75

20/9/5 · 2131 dmg

ADR

125

HS%

60

K/D

2.22

Entry 3/0Multi 2Util 197Pistol 3

v0d9n01

L83

19/8/6 · 2010 dmg

ADR

118

HS%

42

K/D

2.38

Entry 2/0Multi 3Util 265AWP 5Pistol 4
K/D +62%ADR +25%

Heathcl1f

L72

8/10/2 · 930 dmg

ADR

55

HS%

0

K/D

0.80

Entry 2/0Util 11
HS % -100%ADR -39%

Shika_meow

L6

6/9/4 · 724 dmg

ADR

43

HS%

67

K/D

0.67

Entry 2/0Util 73Pistol 1

CUMcvat's team

3 · 1

CUMcvat

L92

11/14/3 · 1159 dmg

ADR

68

HS%

45

K/D

0.79

Entry 1/0Multi 2Util 156AWP 1Pistol 5
K/D -37%ADR -20%

ANTOHA_282

L62

9/14/3 · 1182 dmg

ADR

70

HS%

89

K/D

0.64

Entry 2/0Multi 1Util 23Pistol 4

PA5YN

L8

8/15/6 · 1167 dmg

ADR

69

HS%

88

K/D

0.53

Entry 1/0Util 88Pistol 2

VOLOSYATINA

L4

8/15/2 · 900 dmg

ADR

53

HS%

75

K/D

0.53

useless--

L6

6/16/2 · 841 dmg

ADR

50

HS%

33

K/D

0.38

Entry 1/0Util 12Pistol 3

Half-by-half

First half

9 · 3

Second half

4 · 1

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.