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h0ms1's team

11

88 kills · 5 players

de_dust2 · 38 min

24 rounds · 2026-06-02

Oceania 5v5 Queue

Winner · Oyabun-'s team

13

84 kills · 5 players

Top fragger

h0ms1

29 kills

Top impact

h0ms1

132 ADR

Util damage

Neutric

236 HP

Weak spots this match

vs lifetime baseline
  • Quan_Ding

    K/D 0.47 (avg 1.14)

    -59%
  • Quan_Ding

    ADR 55 (avg 79)

    -31%

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.

h0ms1's team

7 · 4

h0ms1

L87

29/14/9 · 3168 dmg

ADR

132

HS%

45

K/D

2.07

Entry 3/0Multi 3Util 166AWP 2Pistol 5

Nigel-uno

L72

20/18/2 · 2013 dmg

ADR

84

HS%

40

K/D

1.11

Entry 1/0Multi 1Util 128Pistol 1

papisita

L8

16/16/3 · 1441 dmg

ADR

60

HS%

56

K/D

1.00

Entry 2/0Multi 1Util 229Pistol 3

Neutric

L8

15/19/6 · 2015 dmg

ADR

84

HS%

47

K/D

0.79

Entry 3/0Util 236AWP 1Pistol 1

Quan_Ding

L82

8/17/9 · 1310 dmg

ADR

55

HS%

62

K/D

0.47

Entry 2/0Multi 1Util 139AWP 2Pistol 2
K/D -59%ADR -31%HS % +24%

Oyabun-'s team

5 · 8

Oyabun-

L105

26/16/4 · 2399 dmg

ADR

100

HS%

42

K/D

1.62

Entry 3/0Multi 3Util 88AWP 5Pistol 3

fuschu

L94

24/16/2 · 1902 dmg

ADR

79

HS%

54

K/D

1.50

Entry 5/0Multi 2Util 11AWP 3Pistol 4

Xavierwwr

L72

14/19/4 · 1772 dmg

ADR

74

HS%

36

K/D

0.74

Entry 2/0Util 174Pistol 4

Bradinky

L51

10/17/7 · 1592 dmg

ADR

66

HS%

60

K/D

0.59

Entry 1/0Util 119Pistol 3

Ruo77

L81

10/20/8 · 1621 dmg

ADR

68

HS%

70

K/D

0.50

Entry 2/0Multi 1Util 38AWP 2Pistol 2

Half-by-half

First half

7 · 5

Second half

4 · 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.