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Winner · lmz1's team

13

76 kills · 5 players

de_mirage · 31 min

20 rounds · 2026-05-12

South America 5V5 Queue

oGoodness's team

7

60 kills · 5 players

Top fragger

rnk_k

24 kills

Top impact

rnk_k

126 ADR

Util damage

RATOTELLI

190 HP

Weak spots this match

vs lifetime baseline
  • RATOTELLI

    K/D 0.80 (avg 1.48)

    -46%
  • RATOTELLI

    ADR 74 (avg 91)

    -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.

lmz1's team

6 · 7

rnk_k

8

24/9/2 · 2510 dmg

ADR

126

HS%

33

K/D

2.67

Entry 5/0Multi 3Util 98AWP 16Pistol 4

Salvadori

L10

16/13/1 · 1584 dmg

ADR

79

HS%

50

K/D

1.23

Entry 3/0Util 18Pistol 3

c0rtex-

L91

14/16/1 · 1546 dmg

ADR

77

HS%

29

K/D

0.88

Entry 1/0Multi 1Util 32AWP 2Pistol 4

lmz1

L103

12/12/3 · 1380 dmg

ADR

69

HS%

50

K/D

1.00

Entry 1/0Multi 2Util 49Pistol 4

mRTX

L91

10/11/3 · 1211 dmg

ADR

61

HS%

80

K/D

0.91

Entry 1/0Util 72Pistol 4

oGoodness's team

6 · 1

Ampzin

1

15/16/3 · 1841 dmg

ADR

92

HS%

60

K/D

0.94

Entry 2/0Multi 2Util 16AWP 3Pistol 2

zlithxT

L92

13/16/4 · 1519 dmg

ADR

76

HS%

38

K/D

0.81

Entry 2/0Util 61AWP 7Pistol 2

RATOTELLI

L102

12/15/1 · 1487 dmg

ADR

74

HS%

42

K/D

0.80

Entry 1/0Util 190AWP 2Pistol 2
K/D -46%ADR -18%

oGoodness

L101

11/13/3 · 1191 dmg

ADR

60

HS%

55

K/D

0.85

Entry 2/0Multi 1Util 21Pistol 5

jcszera

L101

9/16/3 · 1140 dmg

ADR

57

HS%

67

K/D

0.56

Entry 2/0Multi 1Util 49AWP 1Pistol 7

Half-by-half

First half

6 · 6

Second half

7 · 1

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.