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Winner · ManicSK's team

13

79 kills · 5 players

de_inferno · 42 min

24 rounds · 2026-04-22

Europe 5v5 Queue

-Legionar-'s team

11

82 kills · 5 players

Top fragger

Bastillen

28 kills

Top impact

Bastillen

105 ADR

Util damage

Szkudzio

426 HP

Weak spots this match

vs lifetime baseline
  • TOELICK3R

    ADR 45 (avg 79)

    -44%
  • TOELICK3R

    K/D 0.62 (avg 1.07)

    -42%

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.

ManicSK's team

7 · 6

Bastillen

3

28/14/1 · 2530 dmg

ADR

105

HS%

46

K/D

2.00

Entry 6/0Multi 2Util 58AWP 10Pistol 7

lenyy

4

20/16/9 · 2496 dmg

ADR

104

HS%

50

K/D

1.25

Entry 2/0Multi 1Util 273Pistol 7

Sebyneby

2

12/20/7 · 1679 dmg

ADR

70

HS%

33

K/D

0.60

Entry 2/0Multi 1Util 206AWP 2Pistol 1

TOELICK3R

1

10/16/2 · 1067 dmg

ADR

45

HS%

80

K/D

0.62

Util 68Pistol 1
ADR -44%K/D -42%HS % +63%

ManicSK

3

9/16/3 · 1398 dmg

ADR

58

HS%

78

K/D

0.56

Entry 2/0Util 230Pistol 4

-Legionar-'s team

5 · 6

-Legionar-

3

21/12/5 · 1922 dmg

ADR

80

HS%

48

K/D

1.75

Entry 1/0Multi 2Util 334Pistol 2

xrio

3

19/17/8 · 2183 dmg

ADR

91

HS%

42

K/D

1.12

Entry 5/0Multi 1Util 181AWP 2
ADR +16%K/D +11%

Szkudzio

2

18/15/6 · 2040 dmg

ADR

85

HS%

61

K/D

1.20

Entry 1/0Multi 2Util 426Pistol 10

OpalonyCham4

1

13/19/4 · 1830 dmg

ADR

76

HS%

62

K/D

0.68

Entry 2/0Multi 1Util 285AWP 3

_BrNo_

2

11/16/7 · 1411 dmg

ADR

59

HS%

45

K/D

0.69

Entry 3/0Multi 1Util 200AWP 1Pistol 1

Half-by-half

First half

7 · 5

Second half

6 · 6

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.