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Winner · kiko-22-'s team

13

82 kills · 5 players

de_anubis · 41 min

22 rounds · 2026-05-29

Europe 5v5 Queue

-Miko0_'s team

9

75 kills · 5 players

Top fragger

Pahany

23 kills

Top impact

Pahany

103 ADR

Util damage

brajnxd

220 HP

Weak spots this match

vs lifetime baseline
  • -Miko0_

    K/D 0.65 (avg 1.11)

    -41%
  • -Miko0_

    ADR 61 (avg 80)

    -23%
  • -Miko0_

    HS % 45% (avg 53%)

    -15%

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.

kiko-22-'s team

6 · 7

Chuuuda

L104

20/13/6 · 2031 dmg

ADR

92

HS%

50

K/D

1.54

Entry 3/0Multi 3Util 169AWP 5Pistol 2

pand4_-

L103

18/18/5 · 1965 dmg

ADR

89

HS%

72

K/D

1.00

Entry 1/0Util 68Pistol 6

brajnxd

L102

17/14/6 · 1754 dmg

ADR

80

HS%

47

K/D

1.21

Entry 4/0Multi 2Util 220Pistol 1
HS % +15%

kiko-22-

L102

14/16/7 · 1513 dmg

ADR

69

HS%

36

K/D

0.88

Entry 3/0Multi 2Util 29AWP 1Pistol 3

lylu

L102

13/14/4 · 1303 dmg

ADR

59

HS%

54

K/D

0.93

Entry 2/0Multi 1Util 48Pistol 2

-Miko0_'s team

6 · 3

Pahany

L102

23/15/3 · 2270 dmg

ADR

103

HS%

61

K/D

1.53

Entry 7/0Multi 3Util 16AWP 6Pistol 5

Junkiee

L103

16/18/2 · 1853 dmg

ADR

84

HS%

38

K/D

0.89

Multi 1Util 7Pistol 2

Kr3shProSkuf

L101

15/15/5 · 1651 dmg

ADR

75

HS%

40

K/D

1.00

Entry 1/0Util 142Pistol 1

-Miko0_

L102

11/17/4 · 1342 dmg

ADR

61

HS%

45

K/D

0.65

Entry 1/0Util 45AWP 1Pistol 2
K/D -41%ADR -23%

-yama_

L101

10/17/7 · 1302 dmg

ADR

59

HS%

40

K/D

0.59

Util 11

Half-by-half

First half

6 · 6

Second half

7 · 3

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.