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Tat0s_KZN's team

7

58 kills · 5 players

de_anubis · 30 min

20 rounds · 2026-06-01

Europe 5v5 Queue

Winner · MonSteRiNo-'s team

13

80 kills · 5 players

Top fragger

MonSteRiNo-

21 kills

Top impact

MonSteRiNo-

112 ADR

Util damage

ol7uaTbl

259 HP

Weak spots this match

vs lifetime baseline
  • _Kinex

    K/D 0.79 (avg 1.08)

    -27%
  • _Kinex

    ADR 64 (avg 79)

    -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.

Tat0s_KZN's team

4 · 3

ShlyApKAA

L103

17/15/2 · 1730 dmg

ADR

87

HS%

53

K/D

1.13

Entry 4/0Multi 2Util 165AWP 1Pistol 7

vareshkaa

L101

12/17/4 · 1267 dmg

ADR

63

HS%

58

K/D

0.71

Entry 1/0Multi 2Util 112

_Kinex

L101

11/14/1 · 1272 dmg

ADR

64

HS%

73

K/D

0.79

Entry 1/0Multi 1Util 41AWP 1Pistol 2
K/D -27%ADR -19%HS % +20%

KePkAA

L101

10/17/7 · 1389 dmg

ADR

69

HS%

30

K/D

0.59

Multi 1Util 46AWP 1Pistol 2

Tat0s_KZN

L101

8/17/5 · 1220 dmg

ADR

61

HS%

62

K/D

0.47

Entry 1/0Util 118AWP 2Pistol 1

MonSteRiNo-'s team

8 · 5

MonSteRiNo-

L106

21/10/4 · 2240 dmg

ADR

112

HS%

57

K/D

2.10

Multi 3Util 63AWP 1Pistol 6

divo-

L101

17/12/1 · 1526 dmg

ADR

76

HS%

41

K/D

1.42

Entry 5/0Util 174Pistol 5

aquafloww

L103

16/13/6 · 1806 dmg

ADR

90

HS%

44

K/D

1.23

Entry 3/0Util 51Pistol 2

ol7uaTbl

L102

15/12/7 · 1691 dmg

ADR

85

HS%

53

K/D

1.25

Entry 2/0Multi 1Util 259Pistol 2

zago666-

L101

11/11/6 · 1276 dmg

ADR

64

HS%

64

K/D

1.00

Entry 3/0Util 145AWP 2Pistol 2

Half-by-half

First half

4 · 8

Second half

3 · 5

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.