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Winner · g3n1al's team

13

92 kills · 5 players

de_inferno · 36 min

23 rounds · 2026-06-08

Europe 5v5 Queue

SSS_l1's team

10

74 kills · 5 players

Top fragger

sku1yak

29 kills

Top impact

bafi-

121 ADR

Util damage

SSS_l1

304 HP

Weak spots this match

vs lifetime baseline
  • homonto-

    K/D 0.70 (avg 0.96)

    -27%
  • homonto-

    ADR 65 (avg 78)

    -16%

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.

g3n1al's team

7 · 6

sku1yak

L94

29/13/3 · 2661 dmg

ADR

116

HS%

55

K/D

2.23

Entry 3/0Multi 4Util 256AWP 1Pistol 2
K/D +108%ADR +38%

sivesco

L92

20/17/6 · 2023 dmg

ADR

88

HS%

50

K/D

1.18

Entry 4/0Multi 2Util 47AWP 3Pistol 6

g3n1al

L104

18/15/7 · 2077 dmg

ADR

90

HS%

39

K/D

1.20

Entry 3/0Multi 3Util 206AWP 3Pistol 1

kakashulya-

L91

13/13/3 · 1255 dmg

ADR

55

HS%

54

K/D

1.00

Entry 1/0Pistol 5

d3erxd

L72

12/16/8 · 1671 dmg

ADR

73

HS%

50

K/D

0.75

Entry 2/0Multi 1Util 67AWP 3Pistol 4

SSS_l1's team

5 · 5

bafi-

L106

27/16/3 · 2782 dmg

ADR

121

HS%

59

K/D

1.69

Entry 2/0Multi 5Util 237AWP 5Pistol 4

BroukG

L101

16/20/5 · 1880 dmg

ADR

82

HS%

69

K/D

0.80

Entry 3/0Multi 1Util 283Pistol 5

homonto-

L72

14/20/2 · 1500 dmg

ADR

65

HS%

64

K/D

0.70

Entry 2/0Multi 2Util 96Pistol 2
K/D -27%ADR -16%HS % +14%

SSS_l1

L8

9/18/8 · 1314 dmg

ADR

57

HS%

33

K/D

0.50

Entry 2/0Util 304Pistol 1

Camavo

L51

8/18/5 · 961 dmg

ADR

42

HS%

88

K/D

0.44

Entry 1/0Util 57Pistol 4

Half-by-half

First half

7 · 5

Second half

6 · 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.