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Winner · -DKV's team

16

104 kills · 5 players

de_inferno · 50 min

29 rounds · 2026-04-25

Europe 5v5 Queue

lullehh's team

13

97 kills · 5 players

Top fragger

GOYO007

29 kills

Top impact

GOYO007

100 ADR

Util damage

-DKV

472 HP

Weak spots this match

vs lifetime baseline
  • -DKV

    K/D 0.78 (avg 1.23)

    -37%

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.

-DKV's team

3 · 9 · OT 4

Miral

L104

26/22/10 · 2888 dmg

ADR

100

HS%

65

K/D

1.18

Entry 7/0Multi 1Util 144AWP 1Pistol 5

srtn1-

L104

23/18/4 · 2524 dmg

ADR

87

HS%

65

K/D

1.28

Entry 2/0Multi 1Util 90AWP 2Pistol 4

DoneK_

L102

19/18/1 · 1607 dmg

ADR

55

HS%

21

K/D

1.06

Entry 3/0Multi 1Util 75AWP 5Pistol 2

-DKV

L102

18/23/10 · 2196 dmg

ADR

76

HS%

56

K/D

0.78

Entry 6/0Util 472AWP 3Pistol 3
K/D -37%ADR -14%

HerO_O

L104

18/18/10 · 2156 dmg

ADR

74

HS%

56

K/D

1.00

Entry 2/0Multi 2Util 466Pistol 3
K/D -10%HS % +17%

lullehh's team

9 · 3 · OT 1

GOYO007

L104

29/19/2 · 2898 dmg

ADR

100

HS%

62

K/D

1.53

Entry 1/0Multi 1Util 192Pistol 1
K/D +32%ADR +28%

ag2peek

L104

21/20/7 · 2131 dmg

ADR

74

HS%

29

K/D

1.05

Entry 3/0Multi 3Util 108AWP 6Pistol 4

lullehh

L102

17/24/5 · 1947 dmg

ADR

67

HS%

65

K/D

0.71

Entry 3/0Util 251Pistol 5

kovvf

L103

17/22/10 · 2164 dmg

ADR

75

HS%

29

K/D

0.77

Entry 2/0Multi 1Util 213AWP 7Pistol 1

mizuuu--

L10

13/19/4 · 1510 dmg

ADR

52

HS%

46

K/D

0.68

Util 141Pistol 2

Half-by-half

First half

3 · 9

Second half

9 · 3

Overtime

4 · 1

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.