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GOJO-777's team

5

52 kills · 5 players

de_mirage · 27 min

17 rounds · 2025-12-09

Europe 5v5 Queue

Winner · p1mpgaLs's team

12

71 kills · 5 players

Top fragger

MayBe123321

25 kills

Top impact

MayBe123321

135 ADR

Util damage

p1mpgaLs

201 HP

Weak spots this match

vs lifetime baseline
  • viinim4ki

    K/D 0.47 (avg 1.34)

    -65%
  • viinim4ki

    ADR 59 (avg 88)

    -33%
  • viinim4ki

    HS % 29% (avg 38%)

    -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.

GOJO-777's team

5 · 0

GOJO-777

L71

17/13/2 · 1528 dmg

ADR

90

HS%

29

K/D

1.31

Entry 2/0Multi 2Util 55

Lucky_cfg

L71

12/14/4 · 1378 dmg

ADR

81

HS%

58

K/D

0.86

Entry 2/0AWP 2Pistol 5

KAHVAKUULA

L71

11/9/4 · 1300 dmg

ADR

77

HS%

73

K/D

1.22

Entry 3/0Multi 1Util 38Pistol 1

viinim4ki

L61

7/15/3 · 995 dmg

ADR

59

HS%

29

K/D

0.47

Entry 2/0Util 50AWP 2Pistol 3
K/D -65%ADR -33%

Lyped

L61

5/14/3 · 854 dmg

ADR

50

HS%

60

K/D

0.36

Entry 1/0Util 146Pistol 2

p1mpgaLs's team

7 · 5

MayBe123321

L95

25/10/8 · 2294 dmg

ADR

135

HS%

52

K/D

2.50

Entry 2/0Multi 5Util 180AWP 1Pistol 3

agartha67

L85

19/10/4 · 1453 dmg

ADR

86

HS%

58

K/D

1.90

Entry 1/0Multi 3Util 6Pistol 4

p1mpgaLs

L6

11/9/7 · 1433 dmg

ADR

84

HS%

36

K/D

1.22

Entry 3/0Util 201Pistol 2

ernistoner

L4

8/15/6 · 891 dmg

ADR

52

HS%

12

K/D

0.53

Multi 1Util 76AWP 4Pistol 1

simpled0nk

L42

8/13/5 · 1147 dmg

ADR

68

HS%

50

K/D

0.62

Entry 1/0Pistol 2

Half-by-half

First half

5 · 7

Second half

0 · 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.