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james_joise's team

11

83 kills · 5 players

de_ancient · 36 min

24 rounds · 2026-05-08

SEA 5V5 Queue

Winner · -dem0n's team

13

88 kills · 5 players

Top fragger

duckuzen

24 kills

Top impact

b1lal

98 ADR

Util damage

james_joise

293 HP

Weak spots this match

vs lifetime baseline
  • OrangePanda_

    K/D 0.84 (avg 1.17)

    -28%
  • OrangePanda_

    ADR 76 (avg 90)

    -16%

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.

james_joise's team

6 · 5

mme1o-

L103

20/18/6 · 2074 dmg

ADR

86

HS%

20

K/D

1.11

Entry 5/0Util 190AWP 3Pistol 4

Audie_

L102

20/17/5 · 1953 dmg

ADR

81

HS%

65

K/D

1.18

Multi 2Util 146Pistol 3
HS % +41%

james_joise

L104

19/18/5 · 2147 dmg

ADR

90

HS%

47

K/D

1.06

Entry 4/0Multi 3Util 293Pistol 3

wndrzwer

L101

16/18/6 · 1782 dmg

ADR

74

HS%

75

K/D

0.89

Entry 3/0Util 85Pistol 1

t1z1337

L101

8/17/10 · 1335 dmg

ADR

56

HS%

62

K/D

0.47

Util 25Pistol 1

-dem0n's team

6 · 7

duckuzen

L102

24/17/4 · 2237 dmg

ADR

93

HS%

54

K/D

1.41

Entry 2/0Multi 2Util 141Pistol 2

b1lal

L104

24/15/9 · 2355 dmg

ADR

98

HS%

67

K/D

1.60

Entry 6/0Multi 1Util 105Pistol 3

Rinz_CSGO

L103

18/16/6 · 2037 dmg

ADR

85

HS%

56

K/D

1.12

Entry 3/0Util 238Pistol 4

OrangePanda_

L103

16/19/7 · 1815 dmg

ADR

76

HS%

75

K/D

0.84

Entry 1/0Multi 1Util 122Pistol 3
K/D -28%ADR -16%HS % +53%

-dem0n

L101

6/20/8 · 987 dmg

ADR

41

HS%

17

K/D

0.30

Util 52AWP 2Pistol 2

Half-by-half

First half

6 · 6

Second half

5 · 7

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.