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Winner · jumankautsi's team

13

75 kills · 5 players

de_dust2 · 29 min

19 rounds · 2026-05-28

Europe 5v5 Queue

-romeo's team

6

61 kills · 5 players

Top fragger

zes1

19 kills

Top impact

FK7

115 ADR

Util damage

TIRARARA

165 HP

Weak spots this match

vs lifetime baseline
  • DMuggel

    K/D 0.59 (avg 1.27)

    -54%
  • DMuggel

    ADR 64 (avg 85)

    -25%
  • w4lczak

    HS % 40% (avg 53%)

    -25%

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.

jumankautsi's team

9 · 4

zes1

L104

19/9/4 · 1890 dmg

ADR

100

HS%

68

K/D

2.11

Entry 2/0Multi 1Util 16Pistol 5

w4lczak

L103

15/15/3 · 1484 dmg

ADR

78

HS%

40

K/D

1.00

Entry 2/0Util 19AWP 2Pistol 4
HS % -25%K/D -14%

jumankautsi

L102

14/12/9 · 1650 dmg

ADR

87

HS%

50

K/D

1.17

Entry 2/0Multi 1Util 47AWP 1Pistol 2

TIRARARA

L102

14/12/5 · 1520 dmg

ADR

80

HS%

71

K/D

1.17

Entry 2/0Multi 1Util 165Pistol 3

shmotk1

L102

13/13/6 · 1496 dmg

ADR

79

HS%

69

K/D

1.00

Entry 1/0Multi 1Util 56Pistol 1

-romeo's team

3 · 3

FK7

L103

18/16/2 · 2189 dmg

ADR

115

HS%

89

K/D

1.12

Entry 7/0Multi 1Util 28AWP 12

server67

L101

13/14/1 · 1250 dmg

ADR

66

HS%

54

K/D

0.93

Util 8Pistol 2

-romeo

L102

12/14/4 · 1462 dmg

ADR

77

HS%

42

K/D

0.86

Entry 1/0Util 14

DMuggel

L10

10/17/0 · 1207 dmg

ADR

64

HS%

70

K/D

0.59

Entry 1/0Util 3AWP 1Pistol 4
K/D -54%ADR -25%HS % +46%

NAKAZWJAZDU

L10

8/14/5 · 883 dmg

ADR

47

HS%

38

K/D

0.57

Entry 1/0Util 49Pistol 1

Half-by-half

First half

9 · 3

Second half

4 · 3

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.