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Winner · Pachino007's team

13

84 kills · 5 players

de_anubis · 36 min

21 rounds · 2026-04-27

North America 5V5 Queue

TonyP1mple's team

8

73 kills · 5 players

Top fragger

ChillLearn

23 kills

Top impact

ChillLearn

101 ADR

Util damage

FantasyG

233 HP

Weak spots this match

vs lifetime baseline
  • _yy10

    HS % 26% (avg 43%)

    -40%
  • TonyP1mple

    K/D 0.50 (avg 0.80)

    -38%

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.

Pachino007's team

9 · 4

ChillLearn

L22

23/15/3 · 2111 dmg

ADR

101

HS%

48

K/D

1.53

Entry 2/0Multi 1Util 30Pistol 4
K/D +143%ADR +57%

Sohib

7

22/12/2 · 1980 dmg

ADR

94

HS%

18

K/D

1.83

Entry 2/0Multi 3Util 74AWP 9

_yy10

2

19/16/9 · 1899 dmg

ADR

90

HS%

26

K/D

1.19

Entry 3/0Multi 1Pistol 3
HS % -40%K/D +51%ADR +39%

Pachino007

11/14/3 · 1108 dmg

ADR

53

HS%

64

K/D

0.79

Entry 3/0Util 62Pistol 4

FantasyG

2

9/16/10 · 1652 dmg

ADR

79

HS%

33

K/D

0.56

Entry 1/0Util 233Pistol 1

TonyP1mple's team

3 · 5

Mamert0x

L25

22/13/2 · 2083 dmg

ADR

99

HS%

50

K/D

1.69

Multi 2Util 68Pistol 3

LeGoat999

L41

17/15/3 · 1882 dmg

ADR

90

HS%

12

K/D

1.13

Entry 3/0Multi 1Util 88AWP 14Pistol 2

t1_t1

L31

13/19/5 · 1430 dmg

ADR

68

HS%

38

K/D

0.68

Entry 1/0Multi 1Util 33AWP 4

whyt1nkyy_

1

11/19/1 · 1074 dmg

ADR

51

HS%

55

K/D

0.58

Entry 3/0Multi 1AWP 3Pistol 3

TonyP1mple

10/20/9 · 1692 dmg

ADR

81

HS%

60

K/D

0.50

Entry 3/0Util 10
K/D -38%HS % +54%ADR +14%

Half-by-half

First half

9 · 3

Second half

4 · 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.