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Winner · 2kz1n_-'s team

13

75 kills · 5 players

de_dust2 · 29 min

20 rounds · 2026-05-09

South America 5V5 Queue

SAIDAQUI's team

7

64 kills · 5 players

Top fragger

Chetay999

21 kills

Top impact

Amaudn9

104 ADR

Util damage

Amaudn9

207 HP

Weak spots this match

vs lifetime baseline
  • 2kz1n_-

    ADR 58 (avg 73)

    -21%
  • 2kz1n_-

    HS % 42% (avg 51%)

    -18%

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.

2kz1n_-'s team

7 · 6

Chetay999

L82

21/14/5 · 2043 dmg

ADR

102

HS%

38

K/D

1.50

Entry 4/0Multi 2Util 164AWP 2Pistol 5

Amaudn9

L82

17/13/8 · 2078 dmg

ADR

104

HS%

76

K/D

1.31

Entry 3/0Multi 1Util 207AWP 5
HS % +46%ADR +17%

aNdr021

L84

13/12/8 · 1608 dmg

ADR

80

HS%

46

K/D

1.08

Util 163Pistol 2

2kz1n_-

L85

12/12/6 · 1153 dmg

ADR

58

HS%

42

K/D

1.00

Util 138Pistol 2
ADR -21%HS % -18%

-STK7

L7

12/13/2 · 1113 dmg

ADR

56

HS%

33

K/D

0.92

Entry 4/0Multi 1Util 59AWP 2Pistol 2

SAIDAQUI's team

5 · 2

-FuNkY1

2

17/16/3 · 1801 dmg

ADR

90

HS%

59

K/D

1.06

Entry 3/0Multi 2Util 9Pistol 4
ADR +21%HS % +20%

Nandomago

L81

15/15/5 · 1453 dmg

ADR

73

HS%

60

K/D

1.00

Entry 2/0Util 23AWP 3

yttsur_-

L83

14/14/4 · 1581 dmg

ADR

79

HS%

57

K/D

1.00

Entry 1/0Multi 2Util 91AWP 3Pistol 1

SAIDAQUI

L81

11/14/4 · 1374 dmg

ADR

69

HS%

18

K/D

0.79

Entry 2/0Multi 1Util 37AWP 4Pistol 2

yarized

L7

7/16/1 · 1037 dmg

ADR

52

HS%

57

K/D

0.44

Entry 1/0Util 9AWP 1Pistol 2

Half-by-half

First half

7 · 5

Second half

6 · 2

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.