/ p / Gr3y
πŸ”— suspect.gg/p/76561198384747324
LVL 13

Gr3y

NOT ENOUGH DATA
76561198384747324|9.5 yrs old
Steam↗Leetify↗
0/0
REVIEW SIGNALS
NOT ENOUGH DATA
ANALYSED FROM DEMOS

No verdict yet: we have analysed 1 of this player's matches, 0 with 12+ kills (the ones we rate), and a verdict needs 10 of those. 0 tripped a review signal; roughly 1 in 20 rated matches does.

136MS
TIME TO DAMAGEFast reactions
β€”%
WIN RATErecent

Analysed 1 match: nothing flagged.

SIGNAL BREAKDOWN
vs 39,755 analysed player-matches
Aim accuracy21.6%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 40% of analysed player-matches
Headshot share9.1%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 23% of analysed player-matches
Damage-to-kill136ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 91% of analysed player-matches
Crosshair pre-aim15.0Β°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 2% of analysed player-matches
Leetify: couldn't check
NO CLIPanalysed Β· nothing flagged
ANALYSED
No clip rendered yet

We've analysed this player's matches and nothing is flagged.

MULTI-SOURCE STATS
Playtimeprivate
Account age9.5y
VAC bans0
Game bans0
bans checked 3 h ago
No Premier rating available
No FACEIT account
Couldn't check Leetify this time. Try again in a few minutes.
STEAM INVENTORY
ACTIVITY Β· LAST 120 DAYS
lessmore
MATCH HISTORY
Leetify history Β· demos enrich rosters & signals
βœ“
MIRAGE
K / D10/14
ADR64
HS%40%
RATING0.92
No signal
ROSTER01TightFemboy02Ekmeva κœ±α΄‡α΄„Κ€α΄‡α΄›α΄€Κ€Κ03Tayzut04𝔸𝕣𝕀𝕠𝕝𝕖𝕏05j4m06Zireael07UnSync3d08OFFline09Gr3y10Vladimir
WEAPON BREAKDOWN Β· ANALYSED DEMOS
AK-477 kills Β· 29% HS
M4A42 kills Β· 50% HS
M4A1-S1 kills Β· 100% HS
Seen enough? Put it on record.
Open their newest analysed match and pick them on the scoreboard to report it, or browse the public watchlist.
Report a matchView public watchlist
β—† ALLEGEDSignals are model-flagged from demo analysis and public data: triage, not a verdict. Every finding is appealable.