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Miisaaki's team

15

108 kills · 5 players

de_nuke · 54 min

34 rounds · 2026-05-31

Europe 5v5 Queue

Winner · heltgrQn's team

19

130 kills · 5 players

Top fragger

heltgrQn

33 kills

Top impact

heltgrQn

105 ADR

Util damage

Tubbelub

193 HP

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.

Miisaaki's team

5 · 7 · OT 3

Miisaaki

L95

29/25/4 · 2861 dmg

ADR

84

HS%

34

K/D

1.16

Entry 8/0Multi 2Util 45AWP 14Pistol 3

-bouffdaddy

L94

29/27/7 · 2840 dmg

ADR

84

HS%

59

K/D

1.07

Entry 3/0Multi 2Util 140Pistol 3

dysch

L93

19/26/10 · 2604 dmg

ADR

77

HS%

37

K/D

0.73

Entry 2/0Multi 1Util 19AWP 1Pistol 3

-Eros

L92

18/24/7 · 2027 dmg

ADR

60

HS%

28

K/D

0.75

Entry 1/0Multi 1Util 115Pistol 2

lushi69

L91

13/28/4 · 1598 dmg

ADR

47

HS%

46

K/D

0.46

Entry 3/0Util 104Pistol 1

heltgrQn's team

7 · 5 · OT 7

heltgrQn

L98

33/18/8 · 3558 dmg

ADR

105

HS%

33

K/D

1.83

Entry 5/0Multi 4Util 110AWP 18Pistol 8
HS % -11%K/D +56%ADR +29%

V4lluz

L96

28/26/8 · 3134 dmg

ADR

92

HS%

57

K/D

1.08

Entry 2/0Multi 2Util 84Pistol 5
HS % +16%ADR +11%

KEKSl

L91

27/19/6 · 2701 dmg

ADR

79

HS%

56

K/D

1.42

Entry 3/0Multi 1Util 58AWP 6Pistol 3

Tubbelub

L93

22/23/5 · 2654 dmg

ADR

78

HS%

45

K/D

0.96

Entry 4/0Util 193Pistol 1

sh1z0xd

L81

20/23/4 · 1892 dmg

ADR

56

HS%

40

K/D

0.87

Entry 3/0Multi 1Util 110AWP 3Pistol 1

Half-by-half

First half

5 · 7

Second half

7 · 5

Overtime

3 · 7

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.