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t1maz's team

4

42 kills · 5 players

de_ancient · 26 min

17 rounds · 2026-05-22

Europe 5v5 Queue

Winner · highlision's team

13

73 kills · 5 players

Top fragger

B3rb4r

21 kills

Top impact

B3rb4r

133 ADR

Util damage

lilforzecs

333 HP

Weak spots this match

vs lifetime baseline
  • highlision

    HS % 14% (avg 44%)

    -68%
  • Knz1Tap

    K/D 0.50 (avg 1.04)

    -52%
  • Knz1Tap

    ADR 51 (avg 81)

    -36%

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.

t1maz's team

4 · 0

Osa221

L9

10/13/0 · 946 dmg

ADR

56

HS%

50

K/D

0.77

Entry 1/0Util 125Pistol 2

rasko-

L91

9/15/1 · 957 dmg

ADR

56

HS%

56

K/D

0.60

Util 124Pistol 1

t1maz

L10

8/17/4 · 1000 dmg

ADR

59

HS%

50

K/D

0.47

Entry 2/0Util 90Pistol 2

xxyp

L102

8/15/5 · 1337 dmg

ADR

79

HS%

50

K/D

0.53

Entry 1/0Util 326AWP 3

Knz1Tap

L101

7/14/4 · 872 dmg

ADR

51

HS%

86

K/D

0.50

Entry 1/0Multi 1Util 44
K/D -52%ADR -36%HS % +72%

highlision's team

8 · 5

B3rb4r

L105

21/10/6 · 2268 dmg

ADR

133

HS%

62

K/D

2.10

Entry 3/0Multi 2Util 86Pistol 5

lilforzecs

L92

18/7/4 · 1817 dmg

ADR

107

HS%

56

K/D

2.57

Entry 3/0Multi 2Util 333AWP 1Pistol 4

ator1

L101

17/8/3 · 1841 dmg

ADR

108

HS%

59

K/D

2.12

Entry 4/0Multi 1Util 126Pistol 2

highlision

L104

14/7/1 · 1451 dmg

ADR

85

HS%

14

K/D

2.00

Entry 2/0Util 294AWP 2
HS % -68%K/D +89%ADR +15%

sizz7

L101

3/10/1 · 415 dmg

ADR

24

HS%

33

K/D

0.30

Util 60

Half-by-half

First half

4 · 8

Second half

0 · 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.