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Winner · _BB's team

13

78 kills · 5 players

de_ancient · 24 min

19 rounds · 2026-06-15

Europe 5v5 Queue

DimaNNNNNNNN's team

6

60 kills · 5 players

Top fragger

vkus_kvasa

21 kills

Top impact

vkus_kvasa

117 ADR

Util damage

vkus_kvasa

215 HP

Weak spots this match

vs lifetime baseline
  • nickss13

    ADR 65 (avg 90)

    -28%
  • Twizt_t

    K/D 0.93 (avg 1.17)

    -21%

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.

_BB's team

9 · 4

vkus_kvasa

L106

21/11/3 · 2228 dmg

ADR

117

HS%

62

K/D

1.91

Entry 4/0Multi 2Util 215Pistol 3
K/D +79%ADR +34%

_BB

L102

16/11/4 · 1526 dmg

ADR

80

HS%

38

K/D

1.45

Entry 1/0Multi 1Util 17Pistol 2
K/D +41%

nickss13

L102

15/12/1 · 1228 dmg

ADR

65

HS%

53

K/D

1.25

Entry 3/0Multi 1Util 2AWP 4Pistol 4
ADR -28%HS % +15%

teokach1337

L103

15/15/6 · 1816 dmg

ADR

96

HS%

53

K/D

1.00

Entry 4/0Pistol 2

lnk___

L10

11/11/8 · 1383 dmg

ADR

73

HS%

45

K/D

1.00

Util 96Pistol 2
HS % -8%

DimaNNNNNNNN's team

3 · 3

rsn___

L101

17/16/6 · 1840 dmg

ADR

97

HS%

65

K/D

1.06

Entry 1/0Multi 2Util 12Pistol 5
HS % +38%ADR +26%

Twizt_t

L101

14/15/4 · 1556 dmg

ADR

82

HS%

50

K/D

0.93

Entry 3/0Util 27AWP 2Pistol 3
K/D -21%HS % +22%

_Sigtyr_

L103

14/16/9 · 1788 dmg

ADR

94

HS%

71

K/D

0.88

Entry 3/0Util 207Pistol 4

Maxgress

L101

9/15/1 · 967 dmg

ADR

51

HS%

56

K/D

0.60

Util 43Pistol 1

DimaNNNNNNNN

L10

6/16/2 · 682 dmg

ADR

36

HS%

50

K/D

0.38

Util 2Pistol 1

Half-by-half

First half

9 · 3

Second half

4 · 3

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.