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Winner · S1lny8RS's team

13

86 kills · 5 players

de_ancient · 32 min

22 rounds · 2026-05-24

Europe 5v5 Queue

Bot_Killed's team

9

69 kills · 5 players

Top fragger

S1lny8RS

21 kills

Top impact

WhiteWoof

97 ADR

Util damage

Diixu

376 HP

Weak spots this match

vs lifetime baseline
  • s1woo77

    HS % 29% (avg 51%)

    -43%
  • Ninja_kiler

    HS % 30% (avg 49%)

    -39%
  • s1woo77

    K/D 0.78 (avg 1.10)

    -29%

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.

S1lny8RS's team

5 · 8

S1lny8RS

L85

21/13/10 · 2032 dmg

ADR

92

HS%

43

K/D

1.62

Entry 2/0Multi 3Util 116AWP 1Pistol 2

Ninja_kiler

L73

20/12/7 · 1899 dmg

ADR

86

HS%

30

K/D

1.67

Entry 3/0Multi 2Util 164AWP 1Pistol 5
HS % -39%K/D +55%

wuz1k1337

L83

18/13/3 · 1782 dmg

ADR

81

HS%

56

K/D

1.38

Entry 2/0Multi 1Util 209Pistol 1

Diixu

L71

15/17/13 · 2119 dmg

ADR

96

HS%

67

K/D

0.88

Entry 3/0Multi 1Util 376Pistol 3

Wampysik

L71

12/15/4 · 1330 dmg

ADR

61

HS%

42

K/D

0.80

Entry 3/0Multi 2Util 123Pistol 2

Bot_Killed's team

7 · 2

WhiteWoof

L73

20/17/6 · 2142 dmg

ADR

97

HS%

25

K/D

1.18

Entry 4/0Multi 3Util 169Pistol 3

Bot_Killed

L81

15/17/3 · 1563 dmg

ADR

71

HS%

60

K/D

0.88

Entry 3/0Multi 1Util 67Pistol 3

s1woo77

L71

14/18/2 · 1624 dmg

ADR

74

HS%

29

K/D

0.78

Entry 1/0Util 6AWP 5
HS % -43%K/D -29%

DMA-167

L81

11/16/4 · 1349 dmg

ADR

61

HS%

45

K/D

0.69

Entry 1/0Util 68AWP 1Pistol 3

XiconLuan

L73

9/18/3 · 1123 dmg

ADR

51

HS%

33

K/D

0.50

Multi 1Util 41Pistol 1

Half-by-half

First half

5 · 7

Second half

8 · 2

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.