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Winner · co0lKat's team

13

86 kills · 5 players

de_mirage · 40 min

24 rounds · 2026-06-01

South America 5V5 Queue

jasjajksajs's team

11

88 kills · 5 players

Top fragger

maticLb

31 kills

Top impact

maticLb

128 ADR

Util damage

co0lKat

253 HP

Weak spots this match

vs lifetime baseline
  • shoeL

    ADR 62 (avg 81)

    -24%
  • shoeL

    K/D 0.88 (avg 1.13)

    -22%

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.

co0lKat's team

6 · 7

co0lKat

L94

26/19/8 · 2408 dmg

ADR

100

HS%

54

K/D

1.37

Entry 3/0Multi 3Util 253AWP 1Pistol 7

JoanFz

L92

18/17/8 · 1902 dmg

ADR

79

HS%

50

K/D

1.06

Entry 3/0Multi 3Util 152AWP 3Pistol 6

Quavohuncho

L83

16/17/10 · 2009 dmg

ADR

84

HS%

50

K/D

0.94

Entry 3/0Multi 2Util 92Pistol 2

shoeL

L92

15/17/4 · 1479 dmg

ADR

62

HS%

53

K/D

0.88

Entry 1/0Multi 1Util 105Pistol 2
ADR -24%K/D -22%

Aircry

L72

11/21/5 · 1513 dmg

ADR

63

HS%

55

K/D

0.52

Entry 1/0Multi 2Util 8AWP 1Pistol 1

jasjajksajs's team

6 · 5

maticLb

L84

31/17/4 · 3066 dmg

ADR

128

HS%

35

K/D

1.82

Entry 6/0Multi 3Util 129AWP 10Pistol 7

LucasHaiter

L94

22/19/6 · 2102 dmg

ADR

88

HS%

50

K/D

1.16

Entry 3/0Multi 2Util 130Pistol 2
ADR +10%

jasjajksajs

L91

15/19/5 · 1821 dmg

ADR

76

HS%

40

K/D

0.79

Util 25Pistol 1

-WimbeR

L82

14/17/7 · 1545 dmg

ADR

64

HS%

29

K/D

0.82

Entry 1/0Multi 2Util 73Pistol 2

flyqa

L9

6/19/7 · 1124 dmg

ADR

47

HS%

33

K/D

0.32

Entry 2/0Util 122Pistol 2

Half-by-half

First half

6 · 6

Second half

7 · 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.