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Winner · lLAVRONl's team

1

85 kills · 5 players

de_inferno · 44 min

1 rounds · 2024-04-17

COMPETITIVE 5v5

lobby_zaNaX-

0

72 kills · 5 players

Top fragger

YOLO_777

22 kills

Top impact

YOLO_777

0 ADR

Util damage

YOLO_777

0 HP

Weak spots this match

vs lifetime baseline
  • YOLO_777

    ADR 0 (avg 85)

    -100%
  • -zhila

    ADR 0 (avg 82)

    -100%
  • fuserz

    ADR 0 (avg 93)

    -100%
  • dejlr

    ADR 0 (avg 71)

    -100%
  • ardawgg

    ADR 0 (avg 80)

    -100%
  • Mukhfi

    ADR 0 (avg 84)

    -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.

lLAVRONl's team

7 · 6

YOLO_777

L105

22/15/5 · 0 dmg

ADR

0

HS%

36

K/D

1.47

Multi 4
ADR -100%HS % -23%K/D +15%

-zhila

L93

18/14/6 · 0 dmg

ADR

0

HS%

50

K/D

1.29

Multi 2
ADR -100%K/D +19%HS % +14%

lLAVRONl

L101

16/16/7 · 0 dmg

ADR

0

HS%

50

K/D

1.00

Multi 1

fuserz

L102

16/13/5 · 0 dmg

ADR

0

HS%

62

K/D

1.23

Multi 1
ADR -100%K/D -11%HS % +13%

dejlr

L82

13/14/3 · 0 dmg

ADR

0

HS%

31

K/D

0.93

ADR -100%K/D -27%

lobby_zaNaX-

5 · 5

ardawgg

L93

18/16/5 · 0 dmg

ADR

0

HS%

39

K/D

1.12

Multi 1
ADR -100%HS % -20%

Mukhfi

L81

17/17/3 · 0 dmg

ADR

0

HS%

29

K/D

1.00

ADR -100%HS % -26%

Tqha

L104

15/14/4 · 0 dmg

ADR

0

HS%

53

K/D

1.07

Multi 2
ADR -100%

zaNaX-

L92

12/17/4 · 0 dmg

ADR

0

HS%

83

K/D

0.71

ADR -100%K/D -34%HS % +80%

menforr

L10

10/21/10 · 0 dmg

ADR

0

HS%

70

K/D

0.48

ADR -100%K/D -55%HS % +40%

Half-by-half

First half

7 · 5

Second half

6 · 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.