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MrBanana690's team

14

112 kills · 5 players

de_mirage · 57 min

30 rounds · 2026-05-15

Europe 5v5 Queue

Winner · ---da--'s team

16

118 kills · 5 players

Top fragger

HurlovJee

30 kills

Top impact

will5666

112 ADR

Util damage

---da--

197 HP

Weak spots this match

vs lifetime baseline
  • will5666

    HS % 31% (avg 47%)

    -34%

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.

MrBanana690's team

7 · 5 · OT 2

HurlovJee

L75

30/24/7 · 2963 dmg

ADR

99

HS%

27

K/D

1.25

Entry 4/0Multi 3Util 52AWP 13Pistol 3

MrBanana690

L72

26/25/6 · 2866 dmg

ADR

96

HS%

35

K/D

1.04

Entry 2/0Util 65AWP 3Pistol 5

ANDIIIIXF

L73

23/22/4 · 2363 dmg

ADR

79

HS%

48

K/D

1.05

Entry 2/0Multi 3Util 27AWP 2Pistol 5

niti8421

L61

19/24/8 · 2231 dmg

ADR

74

HS%

53

K/D

0.79

Entry 6/0Multi 2Util 71AWP 8Pistol 3

kurczakboss

L63

14/23/4 · 1768 dmg

ADR

59

HS%

36

K/D

0.61

Entry 1/0AWP 3

---da--'s team

5 · 7 · OT 4

will5666

L62

29/26/8 · 3362 dmg

ADR

112

HS%

31

K/D

1.12

Entry 4/0Multi 2Util 181AWP 1Pistol 4
HS % -34%K/D -12%ADR +16%

Jagasan84

L74

26/24/5 · 2617 dmg

ADR

87

HS%

38

K/D

1.08

Entry 5/0Multi 2Util 44AWP 6Pistol 4

---da--

L54

23/21/12 · 2582 dmg

ADR

86

HS%

48

K/D

1.10

Entry 2/0Multi 3Util 197Pistol 2

BKKRN

L73

21/18/9 · 2528 dmg

ADR

84

HS%

57

K/D

1.17

Entry 2/0Multi 1Util 118Pistol 1

AKK2424

L73

19/25/3 · 1860 dmg

ADR

62

HS%

58

K/D

0.76

Entry 2/0Multi 1Util 104Pistol 6

Half-by-half

First half

7 · 5

Second half

5 · 7

Overtime

2 · 4

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.