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Winner · Expertooo's team

13

81 kills · 5 players

de_ancient · 39 min

24 rounds · 2026-05-30

Europe 5v5 Queue

mant1_top's team

11

80 kills · 5 players

Top fragger

vasapyamotik

22 kills

Top impact

vasapyamotik

95 ADR

Util damage

Sim0nRileyY

226 HP

Weak spots this match

vs lifetime baseline
  • Sim0nRileyY

    HS % 28% (avg 42%)

    -33%

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.

Expertooo's team

7 · 6

-sann1

L91

19/20/8 · 2286 dmg

ADR

95

HS%

63

K/D

0.95

Entry 4/0Util 113Pistol 10

Den1syao

L103

16/17/4 · 1914 dmg

ADR

80

HS%

38

K/D

0.94

Entry 3/0Multi 2Util 170AWP 3Pistol 2

Expertooo

L93

16/13/2 · 1639 dmg

ADR

68

HS%

56

K/D

1.23

Entry 1/0Multi 1Util 32AWP 7Pistol 3

aktsmui

L93

16/14/2 · 1540 dmg

ADR

64

HS%

38

K/D

1.14

Entry 2/0Multi 1Util 64AWP 1Pistol 3

DoGGylStyle

L93

14/16/5 · 1770 dmg

ADR

74

HS%

50

K/D

0.88

Entry 2/0Multi 1Util 30

mant1_top's team

5 · 6

vasapyamotik

L93

22/15/4 · 2288 dmg

ADR

95

HS%

36

K/D

1.47

Entry 2/0Multi 1Util 155AWP 7Pistol 6

Sim0nRileyY

L95

18/15/4 · 2100 dmg

ADR

88

HS%

28

K/D

1.20

Entry 4/0Multi 1Util 226Pistol 1
HS % -33%ADR +16%K/D +15%

T0ks1K2k

L102

17/18/2 · 1844 dmg

ADR

77

HS%

88

K/D

0.94

Entry 1/0Multi 1Util 28AWP 2Pistol 8

oblvkx

L101

14/19/4 · 1933 dmg

ADR

81

HS%

64

K/D

0.74

Entry 2/0Multi 2Util 23Pistol 3

mant1_top

L10

9/20/3 · 1136 dmg

ADR

47

HS%

44

K/D

0.45

Entry 3/0Util 193Pistol 3

Half-by-half

First half

7 · 5

Second half

6 · 6

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.