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wasteoftime-'s team

9

65 kills · 5 players

de_ancient · 32 min

22 rounds · 2026-05-30

Europe 5v5 Queue

Winner · Collinn15's team

13

82 kills · 5 players

Top fragger

makazze

21 kills

Top impact

makazze

99 ADR

Util damage

kataleja

276 HP

Weak spots this match

vs lifetime baseline
  • leri511

    K/D 0.61 (avg 1.36)

    -55%
  • leri511

    ADR 56 (avg 91)

    -39%

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.

wasteoftime-'s team

4 · 5

gazela71

L102

19/16/1 · 1743 dmg

ADR

79

HS%

58

K/D

1.19

Entry 4/0Util 102Pistol 3

wasteoftime-

L103

16/14/3 · 1763 dmg

ADR

80

HS%

81

K/D

1.14

Entry 1/0Multi 2Util 70Pistol 3

feIIo

L102

13/18/8 · 1576 dmg

ADR

72

HS%

46

K/D

0.72

Entry 4/0Multi 1Util 115

leri511

L102

11/18/5 · 1221 dmg

ADR

56

HS%

64

K/D

0.61

Entry 1/0Multi 1Util 140AWP 1
K/D -55%ADR -39%HS % +52%

Scorch

L10

6/16/6 · 1101 dmg

ADR

50

HS%

83

K/D

0.38

Entry 1/0Util 82Pistol 1

Collinn15's team

8 · 5

makazze

4

21/16/7 · 2187 dmg

ADR

99

HS%

52

K/D

1.31

Entry 5/0Multi 2Util 268Pistol 4

m1traa

L104

20/12/3 · 1943 dmg

ADR

88

HS%

70

K/D

1.67

Entry 3/0Multi 2Util 58Pistol 3

kataleja

L102

19/11/7 · 1933 dmg

ADR

88

HS%

74

K/D

1.73

Entry 1/0Util 276Pistol 3

Collinn15

L102

13/11/6 · 1558 dmg

ADR

71

HS%

62

K/D

1.18

Entry 1/0Multi 1Util 66AWP 4Pistol 2

ChAlZi-_-

L101

9/15/5 · 1208 dmg

ADR

55

HS%

56

K/D

0.60

Entry 1/0Util 147Pistol 2

Half-by-half

First half

4 · 8

Second half

5 · 5

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.