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Winner · zero_n1's team

13

80 kills · 5 players

de_mirage · 31 min

19 rounds · 2026-06-18

Europe 5v5 Queue

_flor1an_'s team

6

64 kills · 5 players

Top fragger

zero_n1

19 kills

Top impact

pekazi

104 ADR

Util damage

lezzyt01

169 HP

Weak spots this match

vs lifetime baseline
  • lezzyt01

    K/D 0.93 (avg 1.22)

    -24%
  • lezzyt01

    HS % 36% (avg 44%)

    -18%

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.

zero_n1's team

9 · 4

zero_n1

L103

19/15/5 · 1922 dmg

ADR

101

HS%

58

K/D

1.27

Entry 2/0Multi 2Util 67AWP 4Pistol 2

pekazi

L84

19/13/4 · 1978 dmg

ADR

104

HS%

42

K/D

1.46

Entry 2/0Multi 2Util 132Pistol 2
ADR +35%K/D +33%

Imo01

L91

14/11/4 · 1414 dmg

ADR

74

HS%

43

K/D

1.27

Entry 1/0Util 90AWP 3Pistol 1

lezzyt01

L84

14/15/10 · 1886 dmg

ADR

99

HS%

36

K/D

0.93

Entry 5/0Multi 1Util 169Pistol 2
K/D -24%HS % -18%

s0nnensta1n

L81

14/11/2 · 1222 dmg

ADR

64

HS%

43

K/D

1.27

Entry 1/0Util 40Pistol 2

_flor1an_'s team

3 · 3

_f1xmay_

L93

16/16/3 · 1852 dmg

ADR

98

HS%

62

K/D

1.00

Entry 2/0Multi 2Util 99Pistol 6

_flor1an_

L101

16/16/6 · 1709 dmg

ADR

90

HS%

38

K/D

1.00

Entry 1/0Multi 1Util 112Pistol 6

RedSun-

L81

14/15/2 · 1416 dmg

ADR

75

HS%

36

K/D

0.93

Entry 1/0Multi 1Util 90Pistol 3

Andrusha2015

L8

10/15/4 · 1242 dmg

ADR

65

HS%

50

K/D

0.67

Entry 2/0Util 34AWP 2Pistol 2

--shiza

L71

8/18/6 · 1154 dmg

ADR

61

HS%

62

K/D

0.44

Entry 2/0Util 90

Half-by-half

First half

9 · 3

Second half

4 · 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.