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Winner · mvs9's team

13

84 kills · 5 players

de_inferno · 44 min

22 rounds · 2026-04-17

Europe 5v5 Queue

829999's team

9

84 kills · 5 players

Top fragger

mvs9

23 kills

Top impact

keramogran1t

114 ADR

Util damage

nuroki

312 HP

Weak spots this match

vs lifetime baseline
  • tunquiq-

    K/D 0.60 (avg 1.18)

    -49%
  • tunquiq-

    ADR 63 (avg 91)

    -31%
  • tunquiq-

    HS % 33% (avg 44%)

    -25%

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.

mvs9's team

9 · 4

mvs9

L74

23/17/3 · 2044 dmg

ADR

93

HS%

35

K/D

1.35

Entry 1/0Multi 2Util 90AWP 2Pistol 2

asonnya

L83

19/16/7 · 2337 dmg

ADR

106

HS%

63

K/D

1.19

Entry 5/0Multi 1Util 207AWP 4Pistol 4

asxvv

L51

18/16/4 · 1634 dmg

ADR

74

HS%

28

K/D

1.12

Entry 3/0Multi 1Util 73Pistol 5

tunquiq-

L72

12/20/5 · 1390 dmg

ADR

63

HS%

33

K/D

0.60

Util 67Pistol 1
K/D -49%ADR -31%

nuroki

L73

12/15/3 · 1796 dmg

ADR

82

HS%

67

K/D

0.80

Entry 2/0Util 312Pistol 3

829999's team

3 · 6

keramogran1t

L71

23/15/4 · 2509 dmg

ADR

114

HS%

83

K/D

1.53

Entry 2/0Multi 2Util 190AWP 1Pistol 4

-f0restWoW

L83

20/17/2 · 1928 dmg

ADR

88

HS%

60

K/D

1.18

Entry 1/0Multi 1Util 173AWP 2Pistol 4

spawn-b

L61

19/15/5 · 1682 dmg

ADR

77

HS%

37

K/D

1.27

Entry 2/0Multi 1Util 64AWP 5Pistol 3

829999

L72

11/19/9 · 1552 dmg

ADR

71

HS%

45

K/D

0.58

Entry 2/0Util 237Pistol 5

Zhbr17

L72

11/19/7 · 1506 dmg

ADR

69

HS%

82

K/D

0.58

Entry 4/0Util 30

Half-by-half

First half

9 · 3

Second half

4 · 6

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.