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rhododendr0N's team

9

67 kills · 5 players

de_ancient · 31 min

22 rounds · 2026-05-24

Europe 5v5 Queue

Winner · -Stealerl's team

13

85 kills · 5 players

Top fragger

kallistov

23 kills

Top impact

rhododendr0N

97 ADR

Util damage

toycheg

227 HP

Weak spots this match

vs lifetime baseline
  • erkecha

    K/D 0.53 (avg 1.09)

    -51%
  • erkecha

    ADR 58 (avg 84)

    -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.

rhododendr0N's team

7 · 2

rhododendr0N

L103

19/16/4 · 2123 dmg

ADR

97

HS%

53

K/D

1.19

Entry 3/0Multi 1Util 195Pistol 2

yktpivozavr

L103

16/14/2 · 1601 dmg

ADR

73

HS%

44

K/D

1.14

Entry 1/0Multi 1Util 162Pistol 1

yydai

L102

15/19/6 · 1735 dmg

ADR

79

HS%

47

K/D

0.79

Entry 4/0Util 85Pistol 4

erkecha

L101

10/19/4 · 1274 dmg

ADR

58

HS%

50

K/D

0.53

Entry 2/0Util 75Pistol 4
K/D -51%ADR -31%

-icefang-

L10

7/18/8 · 1174 dmg

ADR

53

HS%

43

K/D

0.39

Entry 1/0Util 74Pistol 2

-Stealerl's team

5 · 8

kallistov

L105

23/12/4 · 2114 dmg

ADR

96

HS%

52

K/D

1.92

Entry 3/0Multi 3Util 116Pistol 4
K/D +42%

Wi7cer

L102

19/13/6 · 1998 dmg

ADR

91

HS%

53

K/D

1.46

Entry 3/0Multi 1Util 160Pistol 1

Dobluesix

L103

16/15/8 · 1704 dmg

ADR

78

HS%

50

K/D

1.07

Entry 3/0Multi 1Util 2

toycheg

L102

14/14/9 · 1925 dmg

ADR

88

HS%

57

K/D

1.00

Util 227AWP 2Pistol 3

-Stealerl

L101

13/14/6 · 1239 dmg

ADR

56

HS%

31

K/D

0.93

Entry 2/0Multi 1Util 16AWP 6Pistol 1

Half-by-half

First half

7 · 5

Second half

2 · 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.