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Winner · PUCHIT0-'s team

13

71 kills · 5 players

de_inferno · 35 min

19 rounds · 2026-04-11

South America 5V5 Queue

oaj047's team

6

63 kills · 5 players

Top fragger

panicb4l4fr1

20 kills

Top impact

panicb4l4fr1

112 ADR

Util damage

Lioshev

333 HP

Weak spots this match

vs lifetime baseline
  • xip_py

    K/D 0.73 (avg 1.13)

    -35%
  • wnpeace

    HS % 38% (avg 53%)

    -28%

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.

PUCHIT0-'s team

6 · 7

panicb4l4fr1

L94

20/12/5 · 2129 dmg

ADR

112

HS%

50

K/D

1.67

Entry 1/0Multi 3Util 48Pistol 1

Lioshev

L92

15/15/9 · 1627 dmg

ADR

86

HS%

60

K/D

1.00

Entry 2/0Multi 1Util 333Pistol 7

XxDANTE

L82

15/12/4 · 1427 dmg

ADR

75

HS%

33

K/D

1.25

Entry 3/0Util 58Pistol 1

PUCHIT0-

L82

11/11/2 · 821 dmg

ADR

43

HS%

36

K/D

1.00

Entry 1/0Multi 1Util 100Pistol 1

foly

L103

10/13/15 · 1555 dmg

ADR

82

HS%

80

K/D

0.77

Entry 1/0Util 284Pistol 2

oaj047's team

6 · 0

wnpeace

L82

16/14/2 · 1525 dmg

ADR

80

HS%

38

K/D

1.14

Entry 2/0Multi 1Util 103Pistol 1
HS % -28%K/D +16%ADR +12%

-REAL-_

L101

14/13/3 · 1630 dmg

ADR

86

HS%

50

K/D

1.08

Entry 2/0Util 10AWP 1Pistol 4

xip_py

L91

11/15/4 · 1421 dmg

ADR

75

HS%

73

K/D

0.73

Entry 3/0Util 73AWP 1Pistol 2
K/D -35%HS % +40%

oaj047

L81

11/15/2 · 1441 dmg

ADR

76

HS%

64

K/D

0.73

Multi 1Util 142

dkDEUS

L81

11/14/1 · 1125 dmg

ADR

59

HS%

82

K/D

0.79

Entry 4/0Multi 1Util 73Pistol 5

Half-by-half

First half

6 · 6

Second half

7 · 0

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.