/ p / 𝓐𝓡𝓹𝓱π“ͺ
πŸ”— suspect.gg/76561198877144231
LVL 37

𝓐𝓡𝓹𝓱π“ͺ

LEGIT
76561198877144231|FACEIT KUB1N4IK|JP|7.7 yrs old
Steam↗FACEIT↗Leetify↗
0
SUSPECT INDEX
LEGIT
SIGNALS ONLY
106MS
TIME TO DAMAGEFast reactions
β€”%
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 accuracy29.7%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 83% of analysed players
Headshot share14.9%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 60% of analysed players
Damage-to-kill106ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 97% of analysed players
Crosshair pre-aim7.6Β°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 39% of analysed players
PROOFsignals flagged Β· 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 Β· rate-limited
MULTI-SOURCE STATS
Playtime725h
Account age7.7y
VAC bans0
Game bans0
No Premier rating available
FACEIT level 6
ELO 1,310
K/D0.85
HS %46%
No Leetify data
FACEIT Β· PERFORMANCE BY MAP
Premier is a single rating Β· shown above
mirage
28m
Win rate61%
K/D0.86
HS%44%
nuke
5m
Win rate100%
K/D1.05
HS%45%
anubis
5m
Win rate60%
K/D0.86
HS%45%
ancient
10m
Win rate50%
K/D0.63
HS%52%
dust2
21m
Win rate52%
K/D0.89
HS%44%
inferno
8m
Win rate38%
K/D0.93
HS%49%
STEAM INVENTORY
ACTIVITY Β· LAST 120 DAYS
lessmore
MATCH HISTORY
Leetify history Β· demos enrich rosters & signals
βœ“
ANCIENT
K / D17/19
ADR82
HS%29%
RATING0.98
Clean
Analysed
ROSTER01β™₯짐보02Panda03MISA04TheUrbanSkunk05Autistic dumpster fire06TomJum07β˜…Sonikβ˜…08ReZ109Zbon Remix10𝓐𝓡𝓹𝓱π“ͺ
WEAPON BREAKDOWN
Per-weapon kills are collected as we analyse this player's demos β€” this section fills in on the next analysis pass.
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β—† ALLEGEDSignals are model-flagged from demo analysis and public data β€” triage, not a verdict. Every finding is appealable.