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Winner · hasler's team

13

75 kills · 5 players

de_mirage · 25 min

18 rounds · 2026-05-29

Europe 5v5 Queue

ryuuk's team

5

53 kills · 5 players

Top fragger

m1rskiy

23 kills

Top impact

m1rskiy

111 ADR

Util damage

m1rskiy

123 HP

Weak spots this match

vs lifetime baseline
  • m1rskiy

    HS % 22% (avg 50%)

    -56%
  • Ekstreeam

    K/D 0.60 (avg 1.20)

    -50%
  • Ekstreeam

    ADR 58 (avg 78)

    -26%

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.

hasler's team

10 · 3

m1rskiy

L106

23/7/1 · 1989 dmg

ADR

111

HS%

22

K/D

3.29

Entry 3/0Multi 2Util 123AWP 15Pistol 6
HS % -56%K/D +179%ADR +39%

K0t0ne

L102

16/12/5 · 1945 dmg

ADR

108

HS%

38

K/D

1.33

Entry 5/0Multi 2Util 24Pistol 2

LeoJeeYT

L102

13/11/3 · 1392 dmg

ADR

77

HS%

46

K/D

1.18

Entry 2/0Multi 1Util 54AWP 2Pistol 3

Drakoz

L102

12/12/5 · 1360 dmg

ADR

76

HS%

50

K/D

1.00

Util 80Pistol 3

hasler

L101

11/11/4 · 1128 dmg

ADR

63

HS%

82

K/D

1.00

Util 10Pistol 2

ryuuk's team

2 · 3

-GetMeOut-

L102

13/15/3 · 1444 dmg

ADR

80

HS%

69

K/D

0.87

Multi 2Util 45Pistol 3

ryuuk

L102

12/16/2 · 1507 dmg

ADR

84

HS%

42

K/D

0.75

Entry 5/0Util 48AWP 3Pistol 4

FluviaL

L10

10/13/1 · 1039 dmg

ADR

58

HS%

70

K/D

0.77

Util 37Pistol 2

Ekstreeam

L10

9/15/3 · 1043 dmg

ADR

58

HS%

67

K/D

0.60

Entry 1/0Pistol 3
K/D -50%ADR -26%HS % +46%

AsT

L101

9/16/6 · 1181 dmg

ADR

66

HS%

56

K/D

0.56

Entry 2/0Util 20Pistol 1

Half-by-half

First half

10 · 2

Second half

3 · 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.