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Winner · Rrownn1's team

1

89 kills · 5 players

de_inferno · 32 min

1 rounds · 2024-10-03

Shqip 5v5 - Hellcase

vetDora's team

0

78 kills · 5 players

Top fragger

Florijan1

31 kills

Top impact

Q4FF4

129 ADR

Util damage

TYuSoja-_-

372 HP

Weak spots this match

vs lifetime baseline
  • bblendd

    ADR 61 (avg 90)

    -32%
  • bblendd

    HS % 33% (avg 46%)

    -28%
  • bblendd

    K/D 0.94 (avg 1.21)

    -22%

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.

Rrownn1's team

5 · 8

Q4FF4

L98

30/13/4 · 2976 dmg

ADR

129

HS%

47

K/D

2.31

Entry 2/0Multi 4Util 316Pistol 3

TYuSoja-_-

L71

17/16/14 · 2422 dmg

ADR

105

HS%

59

K/D

1.06

Entry 2/0Util 372AWP 1Pistol 3

q1mi1

L7

15/17/7 · 1362 dmg

ADR

59

HS%

80

K/D

0.88

Entry 1/0Util 83AWP 2Pistol 4

bblendd

L81

15/16/4 · 1402 dmg

ADR

61

HS%

33

K/D

0.94

Entry 3/0Multi 1Util 116Pistol 2
ADR -32%HS % -28%

Rrownn1

L63

12/16/8 · 1714 dmg

ADR

75

HS%

42

K/D

0.75

Entry 2/0Multi 1Util 186Pistol 1

vetDora's team

7 · 3

Florijan1

L106

31/14/2 · 2764 dmg

ADR

120

HS%

45

K/D

2.21

Entry 6/0Multi 4Util 253AWP 8Pistol 6

nnighty

L63

15/17/3 · 1522 dmg

ADR

66

HS%

80

K/D

0.88

Entry 6/0Multi 1Util 97Pistol 1

cimzey

L8

11/18/8 · 1803 dmg

ADR

78

HS%

82

K/D

0.61

Entry 1/0Util 118Pistol 4

VetRrollll

L61

11/19/3 · 1335 dmg

ADR

58

HS%

36

K/D

0.58

Multi 1Util 91AWP 5

vetDora

L6

10/21/4 · 1365 dmg

ADR

59

HS%

40

K/D

0.48

Util 28Pistol 3

Half-by-half

First half

5 · 7

Second half

8 · 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.