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Winner · spada-masona's team

13

72 kills · 5 players

de_inferno · 29 min

15 rounds · 2026-04-29

Europe 5v5 Queue

draskovic's team

2

41 kills · 5 players

Top fragger

kokalaru

22 kills

Top impact

kokalaru

127 ADR

Util damage

draskovic

244 HP

Weak spots this match

vs lifetime baseline
  • oanlkcr

    K/D 0.33 (avg 0.92)

    -64%
  • oanlkcr

    ADR 47 (avg 70)

    -33%
  • kokalaru

    HS % 45% (avg 57%)

    -21%

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.

spada-masona's team

10 · 3

kokalaru

L54

22/9/2 · 1909 dmg

ADR

127

HS%

45

K/D

2.44

Entry 2/0Multi 3Util 25Pistol 5
HS % -21%K/D +76%ADR +31%

slowN1

4

20/8/6 · 1744 dmg

ADR

116

HS%

45

K/D

2.50

Entry 2/0Multi 4Util 31Pistol 4

spada-masona

L72

15/8/4 · 1471 dmg

ADR

98

HS%

27

K/D

1.88

Entry 2/0Multi 2Util 243AWP 6

sabia-masona

L71

8/8/8 · 1373 dmg

ADR

92

HS%

25

K/D

1.00

Entry 3/0Util 35AWP 1Pistol 1

y4-

2

7/10/1 · 795 dmg

ADR

53

HS%

29

K/D

0.70

Entry 1/0Multi 1

draskovic's team

2 · 0

FakirV

L71

14/14/1 · 1213 dmg

ADR

81

HS%

50

K/D

1.00

Multi 1Util 19Pistol 3

draskovic

L6

11/14/7 · 1549 dmg

ADR

103

HS%

82

K/D

0.79

Entry 3/0Util 244Pistol 2

samc0

L6

6/15/4 · 934 dmg

ADR

62

HS%

50

K/D

0.40

Entry 1/0Util 98

oanlkcr

5/15/0 · 711 dmg

ADR

47

HS%

100

K/D

0.33

Util 110AWP 1Pistol 2
K/D -64%ADR -33%HS % +82%

Kartal28

1

5/14/1 · 630 dmg

ADR

42

HS%

80

K/D

0.36

Entry 1/0AWP 1Pistol 1

Half-by-half

First half

10 · 2

Second half

3 · 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.