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Winner · maad-_'s team

13

85 kills · 5 players

de_dust2 · 32 min

21 rounds · 2026-05-29

Europe 5v5 Queue

_Cheba's team

8

65 kills · 5 players

Top fragger

g0ld113

23 kills

Top impact

g0ld113

127 ADR

Util damage

neverloose69

389 HP

Weak spots this match

vs lifetime baseline
  • Igarilla

    HS % 18% (avg 38%)

    -53%
  • Igarilla

    K/D 0.65 (avg 0.99)

    -34%
  • Igarilla

    ADR 64 (avg 78)

    -19%

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.

maad-_'s team

5 · 8

g0ld113

L85

23/12/10 · 2658 dmg

ADR

127

HS%

61

K/D

1.92

Entry 2/0Multi 3Util 264AWP 5Pistol 6

neverloose69

L93

22/13/5 · 2441 dmg

ADR

116

HS%

55

K/D

1.69

Entry 4/0Multi 3Util 389AWP 6Pistol 7

1948

L83

16/12/6 · 1883 dmg

ADR

90

HS%

56

K/D

1.33

Multi 1Util 72Pistol 3

maad-_

L7

14/14/3 · 1390 dmg

ADR

66

HS%

43

K/D

1.00

Entry 5/0Util 63Pistol 1
ADR -9%

Spiner362

L82

10/14/6 · 1014 dmg

ADR

48

HS%

50

K/D

0.71

Entry 4/0Util 233Pistol 4

_Cheba's team

7 · 1

0rl0

L93

20/20/7 · 2195 dmg

ADR

105

HS%

45

K/D

1.00

Entry 2/0Multi 3Util 59AWP 3Pistol 4

bogdiS

L73

14/14/4 · 1679 dmg

ADR

80

HS%

71

K/D

1.00

Util 16AWP 2Pistol 2

Igarilla

L72

11/17/6 · 1338 dmg

ADR

64

HS%

18

K/D

0.65

Multi 1Util 172
HS % -53%K/D -34%

_Cheba

L10

10/18/4 · 1235 dmg

ADR

59

HS%

20

K/D

0.56

Entry 3/0Util 64AWP 3Pistol 3

Ghost1313

L7

10/16/2 · 1020 dmg

ADR

49

HS%

50

K/D

0.62

Entry 1/0Util 56Pistol 2

Half-by-half

First half

5 · 7

Second half

8 · 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.