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Winner · g0dsakeNN's team

1

139 kills · 5 players

de_vertigo · 59 min

1 rounds · 2024-06-02

COMPETITIVE 5v5

Black-Hammer's team

0

122 kills · 5 players

Top fragger

sbeyaz

40 kills

Top impact

sbeyaz

0 ADR

Util damage

sbeyaz

0 HP

Weak spots this match

vs lifetime baseline
  • sbeyaz

    ADR 0 (avg 82)

    -100%
  • DenniS03

    ADR 0 (avg 98)

    -100%
  • Tiagopa

    ADR 0 (avg 80)

    -100%
  • garrixxxx

    ADR 0 (avg 85)

    -100%
  • garrixxxx

    K/D 0.55 (avg 1.12)

    -51%
  • sTreeTzs

    K/D 0.88 (avg 1.27)

    -31%

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.

g0dsakeNN's team

6 · 6 · OT 7

sbeyaz

L79

40/21/6 · 0 dmg

ADR

0

HS%

40

K/D

1.90

Multi 6
ADR -100%HS % -13%K/D +86%

DenniS03

L53

28/27/8 · 0 dmg

ADR

0

HS%

50

K/D

1.04

ADR -100%

gr1ve-

L53

27/23/7 · 0 dmg

ADR

0

HS%

52

K/D

1.17

Multi 1

sTreeTzs

L42

23/26/14 · 0 dmg

ADR

0

HS%

22

K/D

0.88

Multi 2
K/D -31%HS % -24%

g0dsakeNN

L42

21/27/11 · 0 dmg

ADR

0

HS%

52

K/D

0.78

Multi 1

Black-Hammer's team

6 · 6 · OT 5

Der_Flynn

L68

31/24/2 · 0 dmg

ADR

0

HS%

45

K/D

1.29

Multi 1

Tiagopa

L42

28/30/7 · 0 dmg

ADR

0

HS%

36

K/D

0.93

Multi 1
ADR -100%HS % -22%

Black-Hammer

L43

23/30/11 · 0 dmg

ADR

0

HS%

48

K/D

0.77

AP0LL00

L53

23/27/9 · 0 dmg

ADR

0

HS%

52

K/D

0.85

Multi 1

garrixxxx

L41

17/31/7 · 0 dmg

ADR

0

HS%

76

K/D

0.55

Multi 1
ADR -100%K/D -51%HS % +38%

Half-by-half

First half

6 · 6

Second half

6 · 6

Overtime

7 · 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.