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wohneRR's team

11

77 kills · 5 players

de_ancient · 35 min

24 rounds · 2026-05-26

Europe 5v5 Queue

Winner · -n0ttS's team

13

82 kills · 5 players

Top fragger

akkiori

24 kills

Top impact

T1mpleit

104 ADR

Util damage

4p4cz

396 HP

Weak spots this match

vs lifetime baseline
  • wohneRR

    K/D 0.65 (avg 1.13)

    -42%
  • 4p4cz

    HS % 33% (avg 44%)

    -25%
  • 4p4cz

    K/D 0.80 (avg 1.04)

    -23%

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.

wohneRR's team

7 · 4

_LaWw

L94

19/14/3 · 1706 dmg

ADR

71

HS%

37

K/D

1.36

Entry 1/0Multi 1Util 111AWP 5Pistol 1

-buda

L93

18/16/5 · 2226 dmg

ADR

93

HS%

61

K/D

1.12

Entry 4/0Util 51Pistol 3

dark1g1337

L102

14/15/5 · 1478 dmg

ADR

62

HS%

43

K/D

0.93

Entry 1/0Multi 2Util 128

wohneRR

L102

13/20/6 · 1985 dmg

ADR

83

HS%

54

K/D

0.65

Entry 5/0Multi 2Util 174Pistol 1
K/D -42%ADR -8%

_FiNish_

L10

13/17/5 · 1613 dmg

ADR

67

HS%

31

K/D

0.76

Entry 2/0Util 247Pistol 3

-n0ttS's team

5 · 8

akkiori

L104

24/15/2 · 2203 dmg

ADR

92

HS%

33

K/D

1.60

Entry 1/0Multi 3Util 18AWP 8Pistol 1

T1mpleit

L105

23/15/3 · 2485 dmg

ADR

104

HS%

35

K/D

1.53

Entry 6/0Multi 2Util 96Pistol 4

Roxenl1

L102

14/15/7 · 1640 dmg

ADR

68

HS%

43

K/D

0.93

Entry 1/0Util 115Pistol 2

4p4cz

L91

12/15/7 · 1838 dmg

ADR

77

HS%

33

K/D

0.80

Entry 2/0Util 396Pistol 2
HS % -25%K/D -23%

-n0ttS

L101

9/17/4 · 1108 dmg

ADR

46

HS%

67

K/D

0.53

Entry 1/0Util 1Pistol 3

Half-by-half

First half

7 · 5

Second half

4 · 8

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.