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Winner · Tan0shi's team

19

131 kills · 5 players

de_mirage · 64 min

36 rounds · 2026-06-01

Europe 5v5 Queue

skame's team

17

126 kills · 5 players

Top fragger

xEskiz

34 kills

Top impact

skame

98 ADR

Util damage

mefr1k

316 HP

Weak spots this match

vs lifetime baseline
  • Waassaaap

    HS % 29% (avg 50%)

    -42%
  • xEskiz

    HS % 26% (avg 44%)

    -41%

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.

Tan0shi's team

5 · 7 · OT 7

xEskiz

L105

34/24/4 · 3366 dmg

ADR

94

HS%

26

K/D

1.42

Entry 4/0Multi 4Util 66AWP 26Pistol 2
HS % -41%K/D +18%ADR +9%

feedfid

L105

32/25/5 · 3523 dmg

ADR

98

HS%

50

K/D

1.28

Entry 6/0Multi 4Pistol 5

Waassaaap

L104

24/22/6 · 2955 dmg

ADR

82

HS%

29

K/D

1.09

Multi 2Util 45
HS % -42%

mefr1k

L105

22/26/7 · 2338 dmg

ADR

65

HS%

68

K/D

0.85

Entry 1/0Multi 2Util 316Pistol 1

Tan0shi

L10

19/29/4 · 2213 dmg

ADR

62

HS%

68

K/D

0.66

Entry 2/0Util 7

skame's team

7 · 5 · OT 5

skame

L108

32/25/10 · 3535 dmg

ADR

98

HS%

50

K/D

1.28

Entry 8/0Multi 3Util 223Pistol 4

Kato77

L103

29/26/8 · 2913 dmg

ADR

81

HS%

41

K/D

1.12

Entry 5/0Util 102AWP 10Pistol 3

-1Xa1n-

L102

23/28/8 · 2589 dmg

ADR

72

HS%

48

K/D

0.82

Entry 4/0Util 75AWP 3Pistol 3

saberzzz

L102

23/28/9 · 2674 dmg

ADR

74

HS%

61

K/D

0.82

Entry 4/0Util 47AWP 1Pistol 3

heathrow_

L102

19/24/1 · 1866 dmg

ADR

52

HS%

32

K/D

0.79

Entry 2/0Util 63AWP 8Pistol 1

Half-by-half

First half

5 · 7

Second half

7 · 5

Overtime

7 · 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.