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Winner · 2tuFpyTU's team

1

70 kills · 4 players

de_vertigo · 44 min

1 rounds · 2024-04-01

COMPETITIVE 5v5

jreyn999's team

0

85 kills · 5 players

Top fragger

Mambleasy

21 kills

Top impact

P0of-

0 ADR

Util damage

P0of-

0 HP

Weak spots this match

vs lifetime baseline
  • P0of-

    ADR 0 (avg 83)

    -100%
  • fef_mr

    ADR 0 (avg 83)

    -100%
  • aested

    ADR 0 (avg 78)

    -100%
  • 2tuFpyTU

    ADR 0 (avg 74)

    -100%
  • Mambleasy

    ADR 0 (avg 80)

    -100%
  • neverthesame

    ADR 0 (avg 88)

    -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.

2tuFpyTU's team

5 · 8

P0of-

L104

19/15/5 · 0 dmg

ADR

0

HS%

42

K/D

1.27

Multi 2
ADR -100%HS % -21%K/D +13%

fef_mr

L103

19/17/7 · 0 dmg

ADR

0

HS%

42

K/D

1.12

Multi 1
ADR -100%HS % -9%

aested

L103

18/19/5 · 0 dmg

ADR

0

HS%

56

K/D

0.95

Multi 1
ADR -100%K/D -10%HS % +14%

2tuFpyTU

L91

14/17/4 · 0 dmg

ADR

0

HS%

64

K/D

0.82

ADR -100%K/D -27%HS % +25%

jreyn999's team

7 · 4

Mambleasy

L102

21/16/5 · 0 dmg

ADR

0

HS%

52

K/D

1.31

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

neverthesame

L91

18/16/7 · 0 dmg

ADR

0

HS%

56

K/D

1.12

ADR -100%HS % +24%

jreyn999

L104

18/19/2 · 0 dmg

ADR

0

HS%

56

K/D

0.95

Multi 1
ADR -100%K/D -9%

-vodopad1ck

L101

14/16/8 · 0 dmg

ADR

0

HS%

64

K/D

0.88

ADR -100%K/D -20%HS % +31%

-SNABBI

L103

14/21/7 · 0 dmg

ADR

0

HS%

57

K/D

0.67

Multi 1
K/D -38%HS % +30%

Half-by-half

First half

5 · 7

Second half

8 · 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.