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Winner · Zyl0xX's team

13

78 kills · 5 players

de_inferno · 35 min

19 rounds · 2026-06-02

Europe 5v5 Queue

KwR's team

6

64 kills · 5 players

Top fragger

romika

22 kills

Top impact

romika

114 ADR

Util damage

slivKKo

366 HP

Weak spots this match

vs lifetime baseline
  • Lukoni7

    K/D 0.88 (avg 1.16)

    -24%
  • KwR

    ADR 56 (avg 73)

    -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.

Zyl0xX's team

7 · 6

romika

L104

22/13/3 · 2170 dmg

ADR

114

HS%

55

K/D

1.69

Entry 2/0Multi 3Util 47Pistol 3

SWISO

L103

17/13/3 · 1702 dmg

ADR

90

HS%

53

K/D

1.31

Entry 1/0Multi 2Util 131Pistol 1
K/D +24%HS % +15%

slivKKo

L103

16/12/8 · 1754 dmg

ADR

92

HS%

44

K/D

1.33

Entry 2/0Multi 2Util 366Pistol 6

Floxxie

L103

14/10/7 · 1475 dmg

ADR

78

HS%

50

K/D

1.40

Entry 3/0Multi 1Util 361Pistol 5
K/D +36%HS % +22%

Zyl0xX

L10

9/16/4 · 1119 dmg

ADR

59

HS%

33

K/D

0.56

Entry 4/0Util 76AWP 1Pistol 2

KwR's team

5 · 1

General

L104

18/14/6 · 2101 dmg

ADR

111

HS%

72

K/D

1.29

Entry 1/0Multi 2Util 139Pistol 7

Lukoni7

L101

15/17/7 · 1731 dmg

ADR

91

HS%

47

K/D

0.88

Entry 1/0Multi 1Util 176Pistol 1
K/D -24%ADR +15%

KwR

L10

14/16/3 · 1070 dmg

ADR

56

HS%

50

K/D

0.88

Entry 2/0Multi 1Util 138Pistol 5
ADR -23%K/D -9%

-GEnX_lb-

L101

10/14/4 · 1112 dmg

ADR

59

HS%

60

K/D

0.71

Entry 3/0Util 121AWP 1Pistol 2

1ntz3

L10

7/17/8 · 1128 dmg

ADR

59

HS%

57

K/D

0.41

Multi 1Util 271Pistol 1

Half-by-half

First half

7 · 5

Second half

6 · 1

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.