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Winner · EmilS's team

13

80 kills · 5 players

de_mirage · 35 min

22 rounds · 2026-06-01

Europe 5v5 Queue

Crybd's team

9

72 kills · 5 players

Top fragger

EmilS

25 kills

Top impact

EmilS

105 ADR

Util damage

yghtyyy

191 HP

Weak spots this match

vs lifetime baseline
  • Ballong-Igor

    K/D 0.53 (avg 1.20)

    -56%
  • Ballong-Igor

    ADR 64 (avg 84)

    -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.

EmilS's team

6 · 7

EmilS

6

25/11/5 · 2313 dmg

ADR

105

HS%

48

K/D

2.27

Entry 4/0Multi 3AWP 7Pistol 3

yghtyyy

L103

22/13/4 · 2251 dmg

ADR

102

HS%

41

K/D

1.69

Entry 1/0Multi 2Util 191AWP 3Pistol 1
K/D +50%ADR +26%

M0NTANAA

L102

13/17/4 · 1497 dmg

ADR

68

HS%

62

K/D

0.76

Entry 3/0Multi 1Util 91Pistol 2

lilhydrate

L101

11/14/5 · 1237 dmg

ADR

56

HS%

45

K/D

0.79

Util 135AWP 1Pistol 1

Ballong-Igor

1

9/17/9 · 1399 dmg

ADR

64

HS%

67

K/D

0.53

Entry 1/0Multi 1Util 84Pistol 3
K/D -56%ADR -24%HS % +43%

Crybd's team

6 · 3

Grahnn

L101

19/16/4 · 1917 dmg

ADR

87

HS%

53

K/D

1.19

Entry 4/0Multi 1Util 10Pistol 4

Suno

L103

15/14/6 · 1996 dmg

ADR

91

HS%

47

K/D

1.07

Entry 1/0Multi 1Util 163AWP 5Pistol 3

77007707

L101

13/18/4 · 1413 dmg

ADR

64

HS%

62

K/D

0.72

Entry 1/0Multi 1Util 60AWP 1Pistol 4

Crybd

L102

13/17/1 · 1391 dmg

ADR

63

HS%

62

K/D

0.76

Entry 5/0Util 17AWP 2Pistol 2

FragZ-

L102

12/15/5 · 1602 dmg

ADR

73

HS%

50

K/D

0.80

Entry 2/0Util 174

Half-by-half

First half

6 · 6

Second half

7 · 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.