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Zen0_o's team

7

72 kills · 5 players

de_ancient · 30 min

20 rounds · 2026-05-30

Europe 5v5 Queue

Winner · KAd1k_'s team

13

82 kills · 5 players

Top fragger

KAd1k_

26 kills

Top impact

KAd1k_

122 ADR

Util damage

-machine

232 HP

Weak spots this match

vs lifetime baseline
  • umirbekvv

    K/D 0.37 (avg 1.09)

    -66%
  • umirbekvv

    ADR 57 (avg 82)

    -31%
  • umirbekvv

    HS % 43% (avg 56%)

    -23%

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.

Zen0_o's team

3 · 4

Zen0_o

L103

20/17/4 · 2158 dmg

ADR

108

HS%

60

K/D

1.18

Entry 4/0Multi 1Util 60AWP 1Pistol 4

w8ingy

L103

20/16/5 · 1939 dmg

ADR

97

HS%

20

K/D

1.25

Entry 2/0Multi 1Util 49AWP 1Pistol 2

kunimen66

L101

12/18/3 · 1259 dmg

ADR

63

HS%

42

K/D

0.67

Entry 1/0Util 86AWP 1Pistol 2

arim4kishou

L10

11/15/4 · 1378 dmg

ADR

69

HS%

27

K/D

0.73

Entry 2/0Util 181Pistol 4

-loafe

L10

9/16/7 · 1107 dmg

ADR

55

HS%

89

K/D

0.56

Entry 1/0Pistol 3

KAd1k_'s team

9 · 4

KAd1k_

L104

26/12/7 · 2437 dmg

ADR

122

HS%

31

K/D

2.17

Entry 3/0Multi 3Util 157AWP 15Pistol 6

Tayphing

L103

19/15/9 · 1946 dmg

ADR

97

HS%

47

K/D

1.27

Entry 3/0Util 63Pistol 6

-machine

L102

16/14/9 · 1637 dmg

ADR

82

HS%

25

K/D

1.14

Entry 1/0Util 232Pistol 4

ab1konnn

L104

14/12/7 · 1406 dmg

ADR

70

HS%

29

K/D

1.17

Entry 1/0

umirbekvv

L10

7/19/9 · 1134 dmg

ADR

57

HS%

43

K/D

0.37

Entry 2/0Util 26
K/D -66%ADR -31%

Half-by-half

First half

3 · 9

Second half

4 · 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.