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Winner · -Asires-'s team

13

89 kills · 5 players

de_mirage · 36 min

23 rounds · 2026-01-16

Europe 5v5 Queue

OrionBalboa's team

10

68 kills · 5 players

Top fragger

nxrsex

27 kills

Top impact

omen61

106 ADR

Util damage

LavidDynch

206 HP

Weak spots this match

vs lifetime baseline
  • LavidDynch

    K/D 0.71 (avg 1.00)

    -29%
  • LavidDynch

    ADR 63 (avg 75)

    -16%

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.

-Asires-'s team

5 · 8

nxrsex

L43

27/15/1 · 2420 dmg

ADR

105

HS%

52

K/D

1.80

Entry 3/0Multi 3Util 12

iBleend

L53

21/16/4 · 2224 dmg

ADR

97

HS%

29

K/D

1.31

Entry 3/0Multi 3Util 181Pistol 1
HS % -15%K/D +27%ADR +26%

-Asires-

L52

17/12/5 · 1533 dmg

ADR

67

HS%

29

K/D

1.42

Entry 2/0Multi 1Util 113AWP 4

Vepporizer

L42

14/12/9 · 1767 dmg

ADR

77

HS%

36

K/D

1.17

Entry 1/0Multi 1Util 75Pistol 2
K/D +8%

LavidDynch

L43

10/14/10 · 1451 dmg

ADR

63

HS%

50

K/D

0.71

Entry 2/0Util 206Pistol 2
K/D -29%ADR -16%HS % +25%

OrionBalboa's team

7 · 3

omen61

L54

23/18/5 · 2439 dmg

ADR

106

HS%

39

K/D

1.28

Entry 4/0Multi 2Util 1AWP 6Pistol 2

ColynB

L55

15/17/4 · 1615 dmg

ADR

70

HS%

53

K/D

0.88

Entry 3/0Multi 1Util 25Pistol 5

aquilux

L5

13/19/4 · 1580 dmg

ADR

69

HS%

54

K/D

0.68

Entry 1/0Util 11Pistol 2

WRuchaczW

L41

9/18/4 · 1479 dmg

ADR

64

HS%

33

K/D

0.50

Entry 3/0Util 38

OrionBalboa

L4

8/18/6 · 987 dmg

ADR

43

HS%

50

K/D

0.44

Entry 1/0Util 187

Half-by-half

First half

5 · 7

Second half

8 · 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.