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Winner · DvaStvola54's team

13

79 kills · 5 players

de_mirage · 37 min

21 rounds · 2026-05-28

Europe 5v5 Queue

FO4EEZZ's team

8

74 kills · 5 players

Top fragger

v7nny

25 kills

Top impact

v7nny

113 ADR

Util damage

FO4EEZZ

159 HP

Weak spots this match

vs lifetime baseline
  • kite-_-

    K/D 0.67 (avg 1.13)

    -41%
  • -Nepper

    K/D 0.62 (avg 1.03)

    -40%
  • kite-_-

    ADR 66 (avg 80)

    -18%

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.

DvaStvola54's team

7 · 6

Glodus

L104

20/14/4 · 1852 dmg

ADR

88

HS%

75

K/D

1.43

Multi 2Util 70Pistol 7

DvaStvola54

L82

18/16/3 · 1827 dmg

ADR

87

HS%

44

K/D

1.12

Entry 4/0Util 138Pistol 4

-n0thing666

L102

16/13/3 · 1495 dmg

ADR

71

HS%

12

K/D

1.23

Entry 1/0Multi 2Util 103AWP 10Pistol 2

kid1ebat

L104

13/14/5 · 1554 dmg

ADR

74

HS%

77

K/D

0.93

Entry 2/0Util 112

Pivnoy_bo4ek

L101

12/17/9 · 1769 dmg

ADR

84

HS%

25

K/D

0.71

Entry 3/0Util 84

FO4EEZZ's team

5 · 3

v7nny

L103

25/13/3 · 2380 dmg

ADR

113

HS%

36

K/D

1.92

Entry 6/0Multi 2Util 91AWP 10Pistol 6

loyalu

L103

16/20/3 · 1727 dmg

ADR

82

HS%

56

K/D

0.80

Entry 3/0Pistol 4

FO4EEZZ

L9

13/15/3 · 1297 dmg

ADR

62

HS%

69

K/D

0.87

Entry 1/0Util 159Pistol 2

-Nepper

L9

10/16/3 · 1328 dmg

ADR

63

HS%

60

K/D

0.62

Entry 1/0Util 1Pistol 2
K/D -40%ADR -12%HS % +50%

kite-_-

L102

10/15/3 · 1387 dmg

ADR

66

HS%

50

K/D

0.67

Util 15Pistol 1
K/D -41%ADR -18%

Half-by-half

First half

7 · 5

Second half

6 · 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.