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Winner · emp_mun33b's team

13

85 kills · 5 players

de_ancient · 36 min

23 rounds · 2026-04-17

Europe 5v5 Queue

p3rF3c7o's team

10

83 kills · 5 players

Top fragger

emp_mun33b

21 kills

Top impact

EmGGii

111 ADR

Util damage

sazarqaz

372 HP

Weak spots this match

vs lifetime baseline
  • emp_mun33b

    HS % 19% (avg 48%)

    -60%

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.

emp_mun33b's team

7 · 6

emp_mun33b

L94

21/15/7 · 2076 dmg

ADR

90

HS%

19

K/D

1.40

Entry 3/0Multi 1Util 84Pistol 1
HS % -60%K/D +33%ADR +24%

BIG-DOLPHIN

L91

19/18/4 · 1854 dmg

ADR

81

HS%

11

K/D

1.06

Entry 1/0Multi 1Util 160Pistol 2

pFP5UxL

L93

18/17/7 · 1796 dmg

ADR

78

HS%

67

K/D

1.06

Entry 2/0Multi 2Pistol 6

MajinGohan

L93

17/15/8 · 2108 dmg

ADR

92

HS%

41

K/D

1.13

Entry 4/0Multi 1Util 255Pistol 2

DAVIDAKKKK

L82

10/19/4 · 1280 dmg

ADR

56

HS%

70

K/D

0.53

Entry 2/0Multi 2Util 76Pistol 2

p3rF3c7o's team

5 · 5

EmGGii

L94

21/14/8 · 2558 dmg

ADR

111

HS%

76

K/D

1.50

Entry 2/0Multi 3Util 237Pistol 7
HS % +58%K/D +36%

p3rF3c7o

L8

18/18/5 · 1778 dmg

ADR

77

HS%

50

K/D

1.00

Entry 3/0Multi 1Util 73Pistol 2

DrGino

L92

16/19/6 · 1816 dmg

ADR

79

HS%

44

K/D

0.84

Entry 3/0Multi 1Util 73Pistol 2

sazarqaz

L93

15/14/6 · 1823 dmg

ADR

79

HS%

47

K/D

1.07

Util 372Pistol 4
ADR +8%

Bobrovich0_0

L91

13/20/3 · 1251 dmg

ADR

54

HS%

38

K/D

0.65

Entry 3/0Multi 1Util 101Pistol 2

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.