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Winner · lobby_swz--

1

83 kills · 5 players

de_vertigo · 37 min

1 rounds · 2024-05-21

COMPETITIVE 5V5

Arasaki's team

0

67 kills · 5 players

Top fragger

swz--

21 kills

Top impact

swz--

0 ADR

Util damage

swz--

0 HP

Weak spots this match

vs lifetime baseline
  • swz--

    ADR 0 (avg 77)

    -100%
  • nenenn

    ADR 0 (avg 93)

    -100%
  • WALL_XD

    ADR 0 (avg 68)

    -100%
  • MgldaK1ng

    ADR 0 (avg 89)

    -100%
  • BatucoGoD

    ADR 0 (avg 71)

    -100%
  • RaYz-

    ADR 0 (avg 80)

    -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.

lobby_swz--

6 · 7

swz--

L93

21/14/5 · 0 dmg

ADR

0

HS%

62

K/D

1.50

Multi 1
ADR -100%K/D +36%

nenenn

L94

17/14/6 · 0 dmg

ADR

0

HS%

71

K/D

1.21

Multi 1
ADR -100%HS % +42%

WALL_XD

L53

16/13/6 · 0 dmg

ADR

0

HS%

44

K/D

1.23

Multi 1
ADR -100%

MgldaK1ng

L101

16/13/5 · 0 dmg

ADR

0

HS%

50

K/D

1.23

ADR -100%K/D -19%HS % +11%

BatucoGoD

L32

13/14/6 · 0 dmg

ADR

0

HS%

46

K/D

0.93

ADR -100%K/D -11%

Arasaki's team

6 · 3

RaYz-

L83

19/14/3 · 0 dmg

ADR

0

HS%

37

K/D

1.36

Multi 2
ADR -100%HS % -29%K/D +18%

_GONER_

L92

17/19/8 · 0 dmg

ADR

0

HS%

29

K/D

0.89

Multi 2
ADR -100%K/D -39%

Arasaki

L91

13/15/5 · 0 dmg

ADR

0

HS%

46

K/D

0.87

Multi 1
ADR -100%K/D -26%

VINI1313

L82

10/17/6 · 0 dmg

ADR

0

HS%

50

K/D

0.59

ADR -100%K/D -35%HS % +9%

Akenji_

L41

8/18/2 · 0 dmg

ADR

0

HS%

50

K/D

0.44

Multi 1
ADR -100%K/D -49%HS % +9%

Half-by-half

First half

6 · 6

Second half

7 · 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.