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s0msiad's team

10

74 kills · 5 players

de_cache · 39 min

23 rounds · 2026-05-05

Europe 5v5 Queue

Winner · tehomylly82's team

13

95 kills · 5 players

Top fragger

DannyBoii

26 kills

Top impact

duunari69

122 ADR

Util damage

duunari69

508 HP

Weak spots this match

vs lifetime baseline
  • RealPende

    K/D 0.76 (avg 0.93)

    -18%
  • RealPende

    ADR 71 (avg 84)

    -16%

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.

s0msiad's team

8 · 2

DannyBoii

L93

26/16/8 · 2591 dmg

ADR

113

HS%

19

K/D

1.62

Entry 2/0Multi 3Util 60Pistol 3

KowalMontage

L92

15/23/8 · 2144 dmg

ADR

93

HS%

33

K/D

0.65

Entry 8/0Multi 1Util 163AWP 6Pistol 1

Zagloba

L52

14/19/3 · 1487 dmg

ADR

65

HS%

14

K/D

0.74

Entry 2/0Multi 1Util 77Pistol 4

s0msiad

L71

13/18/1 · 1306 dmg

ADR

57

HS%

69

K/D

0.72

Multi 1Util 121Pistol 1

Kropeczkaa

L72

6/19/7 · 941 dmg

ADR

41

HS%

67

K/D

0.32

Util 107Pistol 1

tehomylly82's team

4 · 9

duunari69

L64

25/16/6 · 2804 dmg

ADR

122

HS%

56

K/D

1.56

Entry 3/0Multi 2Util 508AWP 1Pistol 1

tehomylly82

L103

23/12/4 · 2331 dmg

ADR

101

HS%

48

K/D

1.92

Entry 5/0Multi 3Util 151AWP 2Pistol 2

Puikula

L91

18/14/4 · 1623 dmg

ADR

71

HS%

61

K/D

1.29

Multi 1Util 55Pistol 7

pellava

L83

16/15/9 · 1961 dmg

ADR

85

HS%

38

K/D

1.07

Entry 2/0Multi 3Util 250Pistol 3

RealPende

2

13/17/4 · 1630 dmg

ADR

71

HS%

62

K/D

0.76

Entry 1/0Multi 1Util 259AWP 2Pistol 3
K/D -18%ADR -16%HS % +51%

Half-by-half

First half

8 · 4

Second half

2 · 9

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.