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Winner · LeninnG's team

1

61 kills · 4 players

de_inferno · 43 min

1 rounds · 2025-01-02

South America 5V5 Queue

Berli_0z's team

0

72 kills · 5 players

Top fragger

LeninnG

22 kills

Top impact

jetrhoK

103 ADR

Util damage

mztO

409 HP

Weak spots this match

vs lifetime baseline
  • -MaSsaro

    K/D 0.56 (avg 1.03)

    -46%
  • cH90

    K/D 0.61 (avg 0.95)

    -36%
  • cH90

    ADR 62 (avg 79)

    -22%

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.

LeninnG's team

8 · 5

LeninnG

L83

22/16/2 · 2006 dmg

ADR

91

HS%

55

K/D

1.38

Entry 3/0Multi 1Util 77Pistol 2

-LayF

L73

16/13/4 · 1879 dmg

ADR

85

HS%

25

K/D

1.23

Entry 1/0Multi 1Util 177AWP 4Pistol 3

CholoFMeistr

L61

13/15/3 · 1268 dmg

ADR

58

HS%

54

K/D

0.87

Entry 3/0Util 84Pistol 2

-MaSsaro

L61

10/18/7 · 1552 dmg

ADR

71

HS%

40

K/D

0.56

Entry 2/0Util 69AWP 1Pistol 3
K/D -46%HS % -15%

Berli_0z's team

4 · 5

jetrhoK

L62

20/15/6 · 2264 dmg

ADR

103

HS%

60

K/D

1.33

Entry 2/0Multi 1Util 217Pistol 3
ADR +26%HS % +18%

PijaTe

L92

17/15/7 · 2064 dmg

ADR

94

HS%

47

K/D

1.13

Entry 5/0Multi 1Util 246AWP 5Pistol 5

Berli_0z

L52

14/15/4 · 1469 dmg

ADR

67

HS%

57

K/D

0.93

Entry 3/0Multi 1Util 260AWP 1Pistol 3
ADR -9%HS % +27%

cH90

L72

11/18/3 · 1366 dmg

ADR

62

HS%

55

K/D

0.61

Multi 1Util 75Pistol 1
K/D -36%ADR -22%HS % +17%

mztO

L71

10/17/8 · 1413 dmg

ADR

64

HS%

30

K/D

0.59

Entry 2/0Util 409Pistol 1

Half-by-half

First half

8 · 4

Second half

5 · 5

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.