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milfenjoy3r's team

9

67 kills · 5 players

de_mirage · 37 min

22 rounds · 2025-12-31

North America 5V5 Queue

Winner · FangZzZ's team

13

86 kills · 5 players

Top fragger

milfenjoy3r

25 kills

Top impact

milfenjoy3r

113 ADR

Util damage

milfenjoy3r

147 HP

Weak spots this match

vs lifetime baseline
  • Econometrics

    K/D 0.82 (avg 1.14)

    -28%
  • Econometrics

    ADR 54 (avg 73)

    -26%

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.

milfenjoy3r's team

7 · 2

milfenjoy3r

L102

25/16/3 · 2479 dmg

ADR

113

HS%

44

K/D

1.56

Entry 2/0Multi 3Util 147AWP 3Pistol 3

Econometrics

L102

14/17/1 · 1195 dmg

ADR

54

HS%

57

K/D

0.82

Util 21Pistol 1
K/D -28%ADR -26%HS % +27%

beckL

L102

10/16/4 · 1368 dmg

ADR

62

HS%

50

K/D

0.62

Entry 1/0Util 145Pistol 2

2boink

L101

10/20/4 · 1116 dmg

ADR

51

HS%

50

K/D

0.50

Entry 3/0Multi 1Util 68Pistol 1

neesh1

L102

8/17/8 · 1532 dmg

ADR

70

HS%

50

K/D

0.47

Entry 2/0Multi 1Util 127

FangZzZ's team

5 · 8

wutdowutdo

L105

21/13/4 · 2149 dmg

ADR

98

HS%

62

K/D

1.62

Entry 4/0Multi 1Util 8Pistol 3

-_Ghostt_-

L102

19/16/6 · 2016 dmg

ADR

92

HS%

47

K/D

1.19

Entry 4/0Multi 2Util 102AWP 1Pistol 5

Radarorleo

L102

17/11/3 · 1616 dmg

ADR

74

HS%

29

K/D

1.55

Entry 4/0Util 102AWP 8

FangZzZ

L102

16/13/3 · 1666 dmg

ADR

76

HS%

75

K/D

1.23

Multi 1Util 86Pistol 3

ismazw

L102

13/16/9 · 1787 dmg

ADR

81

HS%

54

K/D

0.81

Entry 2/0Util 66Pistol 1

Half-by-half

First half

7 · 5

Second half

2 · 8

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.