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NIRVANA355's team

8

66 kills · 5 players

de_inferno · 38 min

21 rounds · 2026-06-09

Europe 5v5 Queue

Winner · Bugi94's team

13

82 kills · 5 players

Top fragger

LaPapinade

22 kills

Top impact

LaPapinade

102 ADR

Util damage

Bugi94

519 HP

Weak spots this match

vs lifetime baseline
  • UncleBgg

    HS % 25% (avg 53%)

    -53%
  • UncleBgg

    K/D 1.00 (avg 1.25)

    -20%

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.

NIRVANA355's team

7 · 1

UncleBgg

L82

16/16/8 · 1630 dmg

ADR

78

HS%

25

K/D

1.00

Entry 3/0Multi 2Util 431Pistol 2
HS % -53%K/D -20%

lilldizzy

L82

15/16/2 · 1393 dmg

ADR

66

HS%

40

K/D

0.94

Entry 1/0Util 53Pistol 1

felish1t

2

14/18/8 · 1937 dmg

ADR

92

HS%

86

K/D

0.78

Entry 2/0Util 183Pistol 6

NIRVANA355

L82

11/16/6 · 1245 dmg

ADR

59

HS%

55

K/D

0.69

Entry 1/0Multi 1Util 110

aWbicWojem

L8

10/17/2 · 951 dmg

ADR

45

HS%

40

K/D

0.59

Entry 3/0Multi 2Util 4Pistol 3

Bugi94's team

5 · 8

LaPapinade

L83

22/11/5 · 2139 dmg

ADR

102

HS%

59

K/D

2.00

Entry 2/0Multi 3Util 87Pistol 7

Gosopodin

L83

20/16/3 · 1787 dmg

ADR

85

HS%

35

K/D

1.25

Entry 3/0Multi 4Util 124Pistol 2

Bugi94

L92

18/12/9 · 2129 dmg

ADR

101

HS%

56

K/D

1.50

Entry 2/0Multi 1Util 519AWP 1
K/D +24%ADR +13%

NitrooZZ

L84

16/12/2 · 1600 dmg

ADR

76

HS%

25

K/D

1.33

Entry 3/0Multi 2Util 73AWP 8Pistol 1

D_MACABRE

L71

6/15/6 · 972 dmg

ADR

46

HS%

67

K/D

0.40

Entry 1/0Util 54Pistol 2

Half-by-half

First half

7 · 5

Second half

1 · 8

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.