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LONGISHA's team

9

67 kills · 5 players

de_dust2 · 35 min

22 rounds · 2026-05-03

Europe 5v5 Queue

Winner · _og's team

13

81 kills · 5 players

Top fragger

LONGISHA

21 kills

Top impact

LONGISHA

105 ADR

Util damage

_seni

153 HP

Weak spots this match

vs lifetime baseline
  • dapzicle

    K/D 0.88 (avg 1.20)

    -27%
  • dapzicle

    ADR 62 (avg 77)

    -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.

LONGISHA's team

4 · 5

LONGISHA

L102

21/16/4 · 2299 dmg

ADR

105

HS%

43

K/D

1.31

Entry 3/0Multi 3Util 74AWP 9Pistol 2

dapzicle

L102

14/16/2 · 1363 dmg

ADR

62

HS%

57

K/D

0.88

Entry 2/0Multi 1Util 31AWP 3Pistol 2
K/D -27%ADR -19%HS % +27%

Ozemx

L101

12/16/4 · 1416 dmg

ADR

64

HS%

58

K/D

0.75

Entry 1/0Multi 1Util 48AWP 1Pistol 3

lukaslove

L103

12/16/4 · 1346 dmg

ADR

61

HS%

58

K/D

0.75

Entry 2/0Multi 1Util 42AWP 2Pistol 4

przem0vskyN-

L101

8/17/7 · 1170 dmg

ADR

53

HS%

62

K/D

0.47

Entry 1/0Util 63Pistol 2

_og's team

8 · 5

Lxnxr666

L103

21/12/3 · 2165 dmg

ADR

98

HS%

52

K/D

1.75

Entry 6/0Multi 1Util 23AWP 11Pistol 6

WarDog

L102

19/10/3 · 1708 dmg

ADR

78

HS%

47

K/D

1.90

Multi 2Util 141Pistol 3

_og

L103

16/14/4 · 1627 dmg

ADR

74

HS%

62

K/D

1.14

Entry 3/0Multi 2Util 13Pistol 3

_seni

L104

16/17/5 · 1792 dmg

ADR

82

HS%

69

K/D

0.94

Entry 3/0Multi 2Util 153Pistol 3

G_Gojo

L101

9/14/7 · 1277 dmg

ADR

58

HS%

56

K/D

0.64

Entry 1/0Util 103Pistol 3

Half-by-half

First half

4 · 8

Second half

5 · 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.