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Winner · golosa's team

13

84 kills · 5 players

de_mirage · 33 min

21 rounds · 2026-05-26

South America 5V5 Queue

BigCrisS's team

8

66 kills · 5 players

Top fragger

fbxify-

26 kills

Top impact

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126 ADR

Util damage

BigCrisS

224 HP

Weak spots this match

vs lifetime baseline
  • dardzz

    K/D 0.56 (avg 1.12)

    -50%
  • dardzz

    ADR 63 (avg 79)

    -20%
  • golosa

    ADR 73 (avg 92)

    -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.

golosa's team

5 · 8

fbxify-

L95

26/11/6 · 2650 dmg

ADR

126

HS%

73

K/D

2.36

Entry 4/0Multi 4Util 90AWP 1Pistol 4

Role17

L72

17/13/2 · 1515 dmg

ADR

72

HS%

24

K/D

1.31

Entry 2/0Multi 2Util 78Pistol 4

matz1nho

L62

15/15/8 · 1924 dmg

ADR

92

HS%

73

K/D

1.00

Entry 1/0Multi 1Util 3Pistol 3

golosa

L73

14/13/5 · 1537 dmg

ADR

73

HS%

57

K/D

1.08

Entry 2/0Multi 1Util 118Pistol 1
ADR -20%

pdr-

L41

12/14/5 · 1430 dmg

ADR

68

HS%

58

K/D

0.86

Entry 3/0Multi 1Util 21Pistol 3

BigCrisS's team

7 · 1

BigCrisS

L82

20/16/5 · 2342 dmg

ADR

112

HS%

60

K/D

1.25

Entry 5/0Multi 2Util 224Pistol 4
ADR +22%HS % +15%

24K7

L73

14/17/4 · 1889 dmg

ADR

90

HS%

50

K/D

0.82

Multi 1Util 62AWP 4Pistol 5

001trusT

L42

13/17/1 · 965 dmg

ADR

46

HS%

31

K/D

0.76

Multi 1

dardzz

L81

10/18/2 · 1323 dmg

ADR

63

HS%

50

K/D

0.56

Entry 4/0Util 24AWP 5Pistol 2
K/D -50%ADR -20%

AlanMeg

L4

9/16/4 · 1160 dmg

ADR

55

HS%

44

K/D

0.56

Util 74Pistol 1

Half-by-half

First half

5 · 7

Second half

8 · 1

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.