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Fierce_'s team

0

72 kills · 5 players

de_train · 33 min

1 rounds · 2025-08-31

Europe 5v5 Queue

Winner · TommyTis's team

1

80 kills · 5 players

Top fragger

TarzanV2

23 kills

Top impact

Fierce_

112 ADR

Util damage

h3nes1

154 HP

Weak spots this match

vs lifetime baseline
  • h3nes1

    K/D 0.80 (avg 1.09)

    -27%
  • dog329-

    HS % 37% (avg 49%)

    -24%
  • h3nes1

    ADR 68 (avg 82)

    -17%

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.

Fierce_'s team

4 · 3

Fierce_

L73

22/17/5 · 2248 dmg

ADR

112

HS%

32

K/D

1.29

Entry 5/0Multi 2Util 116AWP 8

SaXaR12

L62

15/17/5 · 1417 dmg

ADR

71

HS%

60

K/D

0.88

Entry 3/0Util 91Pistol 3

DUDLIK

L5

13/14/7 · 1703 dmg

ADR

85

HS%

54

K/D

0.93

Entry 3/0Util 120Pistol 2

h3nes1

L62

12/15/5 · 1361 dmg

ADR

68

HS%

58

K/D

0.80

Entry 1/0Util 154AWP 3Pistol 2
K/D -27%ADR -17%HS % +29%

Katich

L5

10/16/2 · 983 dmg

ADR

49

HS%

40

K/D

0.62

Entry 1/0Util 7AWP 1

TommyTis's team

8 · 5

TarzanV2

L74

23/15/3 · 2062 dmg

ADR

103

HS%

70

K/D

1.53

Entry 1/0Multi 3Util 60AWP 1Pistol 9

dog329-

L63

19/16/9 · 2136 dmg

ADR

107

HS%

37

K/D

1.19

Entry 2/0Multi 2Util 126AWP 1Pistol 3
HS % -24%ADR +22%

TommyTis

L73

15/12/3 · 1526 dmg

ADR

76

HS%

80

K/D

1.25

Entry 3/0Multi 1Pistol 4

Katlyk03

L5

12/17/7 · 1282 dmg

ADR

64

HS%

42

K/D

0.71

Entry 1/0Util 39Pistol 3

Brutalia

L63

11/12/6 · 1306 dmg

ADR

65

HS%

27

K/D

0.92

Util 66AWP 1

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.