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Winner · satbaevv's team

13

75 kills · 5 players

de_mirage · 32 min

17 rounds · 2026-05-06

Europe 5v5 Queue

MAHA_gg's team

4

53 kills · 5 players

Top fragger

RiNDiMeJ

27 kills

Top impact

RiNDiMeJ

146 ADR

Util damage

Z1RYUX

103 HP

Weak spots this match

vs lifetime baseline
  • MAHA_gg

    K/D 0.12 (avg 0.60)

    -80%
  • GaLaXy13lol

    K/D 0.38 (avg 0.88)

    -57%
  • MAHA_gg

    ADR 31 (avg 58)

    -47%

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.

satbaevv's team

8 · 5

RiNDiMeJ

L44

27/8/2 · 2478 dmg

ADR

146

HS%

37

K/D

3.38

Entry 3/0Multi 2Util 54AWP 4Pistol 4
K/D +284%ADR +90%

satbaevv

L45

22/11/4 · 2475 dmg

ADR

146

HS%

36

K/D

2.00

Entry 2/0Multi 3Util 101AWP 1Pistol 2

SKXLP3L

1

15/12/1 · 1305 dmg

ADR

77

HS%

80

K/D

1.25

Entry 3/0Multi 1Pistol 8

Avtomat130

L22

7/9/7 · 939 dmg

ADR

55

HS%

86

K/D

0.78

Util 76Pistol 2

sayonara_sg

L41

4/15/3 · 555 dmg

ADR

33

HS%

25

K/D

0.27

AWP 1Pistol 2

MAHA_gg's team

4 · 0

Sheva_17

L31

18/16/2 · 1541 dmg

ADR

91

HS%

50

K/D

1.12

Entry 1/0Multi 3AWP 3Pistol 4

B1smarc

L61

14/14/4 · 1499 dmg

ADR

88

HS%

43

K/D

1.00

Entry 3/0Multi 1AWP 2Pistol 5

Z1RYUX

1

13/15/3 · 1424 dmg

ADR

84

HS%

31

K/D

0.87

Entry 1/0Multi 2Util 103Pistol 3

GaLaXy13lol

L31

6/16/6 · 1006 dmg

ADR

59

HS%

33

K/D

0.38

Entry 3/0AWP 1Pistol 3
K/D -57%ADR -14%

MAHA_gg

L4

2/16/1 · 527 dmg

ADR

31

HS%

50

K/D

0.12

Entry 1/0
K/D -80%ADR -47%HS % +47%

Half-by-half

First half

8 · 4

Second half

5 · 0

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.