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Winner · Ka1fas's team

1

77 kills · 5 players

de_inferno · 38 min

1 rounds · 2025-07-15

Europe 5v5 Queue

TEDNazarKa's team

0

66 kills · 5 players

Top fragger

DViperB

21 kills

Top impact

DViperB

114 ADR

Util damage

_XDMasikXD_

237 HP

Weak spots this match

vs lifetime baseline
  • n1n2-

    K/D 0.87 (avg 1.22)

    -29%
  • n1n2-

    ADR 63 (avg 87)

    -28%

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.

Ka1fas's team

8 · 5

rumzilliah

L73

18/14/5 · 1813 dmg

ADR

91

HS%

22

K/D

1.29

Entry 2/0Multi 2Util 180Pistol 4

Fru

L73

18/11/11 · 2042 dmg

ADR

102

HS%

28

K/D

1.64

Entry 3/0Multi 1Util 106AWP 2Pistol 7

_XDMasikXD_

L71

16/16/5 · 1802 dmg

ADR

90

HS%

25

K/D

1.00

Entry 2/0Multi 2Util 237AWP 10Pistol 1

Ka1fas

L83

15/14/4 · 1366 dmg

ADR

68

HS%

47

K/D

1.07

Entry 2/0Multi 1Util 114AWP 2Pistol 4
HS % +21%K/D +16%

icewise1

L63

10/11/5 · 1271 dmg

ADR

64

HS%

60

K/D

0.91

Entry 1/0Multi 1Util 75Pistol 3

TEDNazarKa's team

4 · 3

DViperB

L73

21/17/5 · 2288 dmg

ADR

114

HS%

62

K/D

1.24

Entry 4/0Multi 4Util 9AWP 3Pistol 4

n1n2-

L81

13/15/3 · 1254 dmg

ADR

63

HS%

46

K/D

0.87

Multi 1Util 18Pistol 2
K/D -29%ADR -28%

ProSamuray

L73

12/13/1 · 1310 dmg

ADR

66

HS%

25

K/D

0.92

Entry 2/0Util 134AWP 2

TakiTaco

L7

10/15/3 · 1225 dmg

ADR

61

HS%

40

K/D

0.67

Entry 2/0Util 203Pistol 2

TEDNazarKa

L5

10/17/4 · 1383 dmg

ADR

69

HS%

40

K/D

0.59

Entry 2/0Util 35Pistol 1

Half-by-half

First half

8 · 4

Second half

5 · 3

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.