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Winner · Kilian's team

13

84 kills · 5 players

de_anubis · 34 min

22 rounds · 2026-06-02

Europe 5v5 Queue

Ta1l3r's team

9

69 kills · 5 players

Top fragger

Schosch

24 kills

Top impact

chatgpt999

107 ADR

Util damage

chatgpt999

234 HP

Weak spots this match

vs lifetime baseline
  • Ta1l3r

    K/D 0.65 (avg 1.22)

    -47%
  • Ta1l3r

    ADR 58 (avg 83)

    -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.

Kilian's team

9 · 4

Schosch

L105

24/13/3 · 2246 dmg

ADR

102

HS%

17

K/D

1.85

Entry 6/0Multi 3Util 42AWP 14Pistol 2

szczech0S

L102

17/14/2 · 1487 dmg

ADR

68

HS%

47

K/D

1.21

Entry 1/0Multi 1Util 69AWP 2Pistol 3
HS % -15%ADR -14%

jvma

L103

17/14/4 · 1899 dmg

ADR

86

HS%

47

K/D

1.21

Entry 2/0Multi 2Util 90Pistol 1

__majkel

L103

13/16/6 · 1512 dmg

ADR

69

HS%

69

K/D

0.81

Entry 2/0Multi 1Util 116

Kilian

L10

13/13/7 · 1693 dmg

ADR

77

HS%

54

K/D

1.00

Entry 3/0Util 87Pistol 3

Ta1l3r's team

3 · 6

chatgpt999

L102

21/18/9 · 2356 dmg

ADR

107

HS%

71

K/D

1.17

Entry 2/0Multi 3Util 234AWP 3Pistol 6

giX-

L103

17/15/6 · 1788 dmg

ADR

81

HS%

41

K/D

1.13

Multi 2Util 191Pistol 2

Ta1l3r

L101

11/17/5 · 1272 dmg

ADR

58

HS%

64

K/D

0.65

Entry 2/0Util 3AWP 1Pistol 4
K/D -47%ADR -31%HS % +25%

s4ntexx

L102

10/17/2 · 1304 dmg

ADR

59

HS%

40

K/D

0.59

Entry 2/0Multi 1Util 45AWP 2Pistol 2

GymwOo

L101

10/17/3 · 1132 dmg

ADR

52

HS%

50

K/D

0.59

Entry 2/0Util 57AWP 2Pistol 2

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.