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Winner · IVAN_GOLOVAN's team

13

70 kills · 5 players

de_mirage · 26 min

16 rounds · 2026-05-10

Europe 5v5 Queue

ogr1n's team

3

39 kills · 5 players

Top fragger

g0n3r

17 kills

Top impact

s1gna322

111 ADR

Util damage

sazex

186 HP

Weak spots this match

vs lifetime baseline
  • Pachino

    K/D 0.33 (avg 1.10)

    -70%
  • sazex

    HS % 38% (avg 51%)

    -25%
  • Pachino

    HS % 40% (avg 48%)

    -17%

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.

IVAN_GOLOVAN's team

9 · 4

g0n3r

L102

17/7/6 · 1734 dmg

ADR

108

HS%

71

K/D

2.43

Entry 1/0Util 67Pistol 6
K/D +93%HS % +42%

s1gna322

L102

16/9/4 · 1779 dmg

ADR

111

HS%

62

K/D

1.78

Entry 5/0Multi 1Util 72AWP 2Pistol 5
K/D +62%HS % +44%

sazex

L103

13/8/6 · 1344 dmg

ADR

84

HS%

38

K/D

1.62

Entry 2/0Multi 1Util 186Pistol 1
HS % -25%K/D +46%ADR +9%

papa_v_dele-

L103

13/9/1 · 1508 dmg

ADR

94

HS%

46

K/D

1.44

Entry 2/0Multi 1Util 64
HS % -12%K/D +26%ADR +20%

IVAN_GOLOVAN

L103

11/7/2 · 909 dmg

ADR

57

HS%

55

K/D

1.57

Multi 2Util 21AWP 2Pistol 2

ogr1n's team

3 · 0

Bayntaii

L10

10/15/0 · 802 dmg

ADR

50

HS%

40

K/D

0.67

Entry 1/0AWP 3

CarlsenMag

L101

10/13/2 · 1343 dmg

ADR

84

HS%

70

K/D

0.77

Entry 1/0Util 71Pistol 5

ogr1n

L101

8/13/0 · 926 dmg

ADR

58

HS%

38

K/D

0.62

Entry 2/0Util 39Pistol 2

wayller1

L101

6/14/5 · 1158 dmg

ADR

72

HS%

67

K/D

0.43

Entry 2/0Util 37Pistol 1

Pachino

L10

5/15/4 · 1136 dmg

ADR

71

HS%

40

K/D

0.33

Util 26AWP 1Pistol 1
K/D -70%HS % -17%

Half-by-half

First half

9 · 3

Second half

4 · 0

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.