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Winner · -Armada-'s team

13

75 kills · 5 players

de_anubis · 31 min

18 rounds · 2026-05-09

North America 5V5 Queue

PKYOGY's team

5

59 kills · 5 players

Top fragger

-Armada-

27 kills

Top impact

-Armada-

138 ADR

Util damage

PKYOGY

131 HP

Weak spots this match

vs lifetime baseline
  • prososoe

    HS % 25% (avg 46%)

    -46%
  • prososoe

    K/D 0.89 (avg 1.20)

    -26%
  • prososoe

    ADR 62 (avg 83)

    -25%

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.

-Armada-'s team

9 · 4

-Armada-

L105

27/10/7 · 2483 dmg

ADR

138

HS%

52

K/D

2.70

Entry 4/0Multi 6Util 27AWP 5Pistol 3

RhinoStarus

L104

16/15/5 · 1699 dmg

ADR

94

HS%

31

K/D

1.07

Entry 3/0Multi 3Util 125AWP 4

Oranjun

L81

12/14/4 · 1423 dmg

ADR

79

HS%

50

K/D

0.86

Entry 3/0Multi 1Util 51Pistol 3

Aaza-

L82

12/11/4 · 1011 dmg

ADR

56

HS%

58

K/D

1.09

Entry 2/0Multi 2Util 74Pistol 4

prososoe

L81

8/9/7 · 1119 dmg

ADR

62

HS%

25

K/D

0.89

Multi 1Util 87
HS % -46%K/D -26%

PKYOGY's team

3 · 2

PKYOGY

L91

17/12/2 · 1666 dmg

ADR

93

HS%

35

K/D

1.42

Multi 1Util 131AWP 2Pistol 2

TheSkyHowl

L92

13/16/5 · 1660 dmg

ADR

92

HS%

54

K/D

0.81

Entry 1/0Multi 1AWP 2Pistol 4

iAmTinoo

1

12/14/3 · 1297 dmg

ADR

72

HS%

42

K/D

0.86

Entry 1/0Multi 2Util 51Pistol 5

coochiesmith

L81

9/17/1 · 1021 dmg

ADR

57

HS%

56

K/D

0.53

Entry 2/0Multi 2Util 56

jkdoan24

L8

8/16/4 · 959 dmg

ADR

53

HS%

50

K/D

0.50

Entry 2/0Multi 1Util 10AWP 1

Half-by-half

First half

9 · 3

Second half

4 · 2

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.