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Winner · C4ESAR's team

13

94 kills · 5 players

de_dust2 · 45 min

24 rounds · 2026-05-27

Europe 5v5 Queue

FIG0's team

11

83 kills · 5 players

Top fragger

MamaLover

23 kills

Top impact

MamaLover

103 ADR

Util damage

Maaazi

225 HP

Weak spots this match

vs lifetime baseline
  • DarwinSucks

    HS % 31% (avg 44%)

    -30%
  • DarwinSucks

    K/D 0.80 (avg 1.09)

    -27%

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.

C4ESAR's team

5 · 8

MamaLover

L105

23/17/9 · 2472 dmg

ADR

103

HS%

39

K/D

1.35

Entry 5/0Multi 4Util 32AWP 4Pistol 2

Hoperr

L102

20/17/4 · 2341 dmg

ADR

98

HS%

70

K/D

1.18

Entry 5/0Util 32AWP 9Pistol 3

C4ESAR

L101

17/18/9 · 2110 dmg

ADR

88

HS%

53

K/D

0.94

Entry 3/0Multi 2AWP 3Pistol 4

suwuku

L103

17/17/5 · 1605 dmg

ADR

67

HS%

47

K/D

1.00

Entry 2/0Multi 2Util 211Pistol 3
HS % +9%

Pomidir4ik

L102

17/14/9 · 1698 dmg

ADR

71

HS%

47

K/D

1.21

Multi 2Util 92Pistol 1

FIG0's team

7 · 4

musha777

L103

18/20/3 · 1701 dmg

ADR

71

HS%

39

K/D

0.90

Entry 3/0Multi 1Util 3AWP 3Pistol 3

nookier

L103

18/18/4 · 1854 dmg

ADR

77

HS%

50

K/D

1.00

Multi 1Util 115Pistol 2

DarwinSucks

L101

16/20/9 · 1989 dmg

ADR

83

HS%

31

K/D

0.80

Entry 1/0Multi 2Util 92AWP 1Pistol 3
HS % -30%K/D -27%

Maaazi

L102

16/18/10 · 1944 dmg

ADR

81

HS%

62

K/D

0.89

Entry 3/0Multi 2Util 225Pistol 3

FIG0

L102

15/20/4 · 1816 dmg

ADR

76

HS%

73

K/D

0.75

Entry 2/0Util 90Pistol 7

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.