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Winner · CG1dawg's team

1

79 kills · 5 players

de_anubis · 38 min

1 rounds · 2024-02-25

COMPETITIVE 5V5

R1ceCake's team

0

63 kills · 5 players

Top fragger

miniedz

22 kills

Top impact

miniedz

0 ADR

Util damage

miniedz

0 HP

Weak spots this match

vs lifetime baseline
  • CG1dawg

    ADR 0 (avg 78)

    -100%
  • CrazyCharl

    ADR 0 (avg 98)

    -100%
  • 1tP-yoda

    ADR 0 (avg 75)

    -100%
  • R1ceCake

    ADR 0 (avg 75)

    -100%
  • MrBorooooooo

    ADR 0 (avg 77)

    -100%
  • nirun12

    ADR 0 (avg 81)

    -100%

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.

CG1dawg's team

8 · 5

miniedz

L53

22/10/4 · 0 dmg

ADR

0

HS%

55

K/D

2.20

Multi 1
K/D +65%HS % +28%

CG1dawg

L54

19/12/2 · 0 dmg

ADR

0

HS%

42

K/D

1.58

Multi 1
ADR -100%K/D +44%

CrazyCharl

L42

16/15/3 · 0 dmg

ADR

0

HS%

31

K/D

1.07

Multi 2
ADR -100%

AgentPM

L52

14/12/6 · 0 dmg

ADR

0

HS%

43

K/D

1.17

1tP-yoda

L42

8/14/6 · 0 dmg

ADR

0

HS%

88

K/D

0.57

ADR -100%K/D -52%HS % +76%

R1ceCake's team

4 · 4

Shjncookies

L54

20/15/2 · 0 dmg

ADR

0

HS%

15

K/D

1.33

Multi 4
HS % -53%

R1ceCake

L4

16/15/4 · 0 dmg

ADR

0

HS%

88

K/D

1.07

Multi 1
ADR -100%K/D -11%HS % +80%

HOANGBUU

L53

12/15/5 · 0 dmg

ADR

0

HS%

58

K/D

0.80

Multi 1
K/D -30%HS % +29%

MrBorooooooo

L3

8/17/3 · 0 dmg

ADR

0

HS%

25

K/D

0.47

ADR -100%K/D -52%

nirun12

L31

7/17/1 · 0 dmg

ADR

0

HS%

71

K/D

0.41

ADR -100%K/D -61%HS % +39%

Half-by-half

First half

8 · 4

Second half

5 · 4

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.