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Winner · sym001203's team

13

88 kills · 5 players

de_inferno · 38 min

23 rounds · 2025-12-22

Europe 5v5 Queue

koopidoopi's team

10

72 kills · 5 players

Top fragger

duanledexuan

27 kills

Top impact

duanledexuan

108 ADR

Util damage

Pattesut

300 HP

Weak spots this match

vs lifetime baseline
  • koopidoopi

    HS % 20% (avg 40%)

    -50%
  • koopidoopi

    K/D 0.88 (avg 1.08)

    -19%

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.

sym001203's team

8 · 5

duanledexuan

L94

27/14/4 · 2487 dmg

ADR

108

HS%

44

K/D

1.93

Entry 1/0Multi 3Util 117Pistol 7

sym001203

L73

21/15/6 · 2066 dmg

ADR

90

HS%

48

K/D

1.40

Entry 2/0Multi 3Util 77Pistol 3

looongd

L84

20/14/11 · 2382 dmg

ADR

104

HS%

20

K/D

1.43

Entry 3/0Multi 1Util 287AWP 2Pistol 1

moneylovesme

L81

10/14/9 · 1403 dmg

ADR

61

HS%

30

K/D

0.71

Entry 1/0Util 87Pistol 2

SSSSun

L61

10/15/6 · 1221 dmg

ADR

53

HS%

80

K/D

0.67

Entry 3/0Util 132

koopidoopi's team

4 · 6

D4ngerMan69

L72

18/21/6 · 2124 dmg

ADR

92

HS%

44

K/D

0.86

Entry 7/0Multi 1Util 95Pistol 1

koopidoopi

L83

15/17/6 · 1928 dmg

ADR

84

HS%

20

K/D

0.88

Entry 1/0Multi 2Util 231AWP 1
HS % -50%K/D -19%ADR +16%

Fuusk

L83

15/16/2 · 1545 dmg

ADR

67

HS%

60

K/D

0.94

Entry 1/0Multi 1Util 216

Facemenow

L82

13/17/8 · 1847 dmg

ADR

80

HS%

62

K/D

0.76

Util 150Pistol 2

Pattesut

L6

11/17/0 · 1349 dmg

ADR

59

HS%

82

K/D

0.65

Entry 4/0Util 300Pistol 3

Half-by-half

First half

8 · 4

Second half

5 · 6

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.