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🔗 suspect.gg/76561198865172059
LVL 18

Слава КПРФ

LEGIT
76561198865172059|FACEIT D3f1ch3nk0|7.9 yrs old
SteamFACEITLeetify
0
SUSPECT INDEX
LEGIT
SIGNALS ONLY
256MS
TIME TO DAMAGEFast reactions
%
WIN RATErecent

We parsed the demo and flagged the signals below. Render the evidence to see them on video.

SIGNAL BREAKDOWN
vs 1,846 analysed players
Aim accuracy28.8%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 79% of analysed players
Headshot share11.1%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 37% of analysed players
Damage-to-kill256ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 75% of analysed players
Crosshair pre-aim10.9°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 12% of analysed players
PROOFsignals flagged · clip not rendered
AWAITING RENDER
No clip rendered yet

We've parsed the demo and flagged the signals on the left. Render the evidence to see the flagged rounds on video.

free · rate-limited
MULTI-SOURCE STATS
Playtime
Account age7.9y
VAC bans0
Game bans0
No Premier rating available
FACEIT level 5
ELO 1,087
K/D1.18
HS %41%
No Leetify data
FACEIT · PERFORMANCE BY MAP
Premier is a single rating · shown above
dust2
53m
Win rate45%
K/D1.25
HS%45%
ancient
25m
Win rate52%
K/D1.07
HS%48%
anubis
13m
Win rate38%
K/D0.94
HS%42%
inferno
23m
Win rate57%
K/D1.22
HS%44%
nuke
9m
Win rate33%
K/D1.06
HS%51%
cache
5m
Win rate40%
K/D1.05
HS%33%
mirage
79m
Win rate47%
K/D1.14
HS%41%
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
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MATCH HISTORY
Leetify history · demos enrich rosters & signals
INFERNO
K / D10/18
ADR71
HS%40%
RATING0.68
Clean
Analysed
ROSTER01Принцесса.ехе02Autistic dumpster fire03Dmw04Squanchy.05Syrusas06⚡️⚡️TEEMOORSKI07PITIPIWPIW WIW WIW08Дефиченко09AcmuX10ReZ1
WEAPON BREAKDOWN
Per-weapon kills are collected as we analyse this player's demos — this section fills in on the next analysis pass.
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◆ ALLEGEDSignals are model-flagged from demo analysis and public data — triage, not a verdict. Every finding is appealable.