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Winner · glizzy's team

13

75 kills · 5 players

de_mirage · 31 min

18 rounds · 2026-06-02

North America 5V5 Queue

AU-6's team

5

51 kills · 5 players

Top fragger

m2-

19 kills

Top impact

m2-

123 ADR

Util damage

glizzy

140 HP

Weak spots this match

vs lifetime baseline
  • y0dababy

    HS % 0% (avg 43%)

    -100%
  • y0dababy

    K/D 0.83 (avg 1.26)

    -34%
  • Gxldy

    HS % 29% (avg 38%)

    -24%

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.

glizzy's team

7 · 6

jimboyyy

L84

18/13/3 · 1962 dmg

ADR

109

HS%

50

K/D

1.38

Entry 4/0Multi 1Util 45AWP 1Pistol 3

Gxldy

L93

17/7/2 · 1355 dmg

ADR

75

HS%

29

K/D

2.43

Entry 2/0Multi 1Util 47AWP 1Pistol 2
HS % -24%K/D +131%

glizzy

L93

16/10/4 · 1477 dmg

ADR

82

HS%

31

K/D

1.60

Entry 3/0Multi 2Util 140AWP 2Pistol 1

SapsCs

L81

14/10/5 · 1619 dmg

ADR

90

HS%

79

K/D

1.40

Entry 2/0Util 95Pistol 3

y0dababy

L72

10/12/6 · 1434 dmg

ADR

80

HS%

0

K/D

0.83

Entry 1/0Util 115AWP 6
HS % -100%K/D -34%

AU-6's team

5 · 0

m2-

L101

19/15/8 · 2217 dmg

ADR

123

HS%

74

K/D

1.27

Entry 2/0Multi 2Util 59AWP 1Pistol 3

AU-6

L62

14/13/4 · 1658 dmg

ADR

92

HS%

50

K/D

1.08

Entry 1/0Multi 1AWP 4Pistol 1

k0gan

L8

7/17/2 · 889 dmg

ADR

49

HS%

86

K/D

0.41

Entry 1/0Util 124Pistol 1

kago7

L92

6/16/4 · 1195 dmg

ADR

66

HS%

67

K/D

0.38

Entry 2/0Util 61Pistol 4

terat01d

L8

5/15/3 · 598 dmg

ADR

33

HS%

20

K/D

0.33

AWP 1

Half-by-half

First half

7 · 5

Second half

6 · 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.