/ p / kayo enjoyer
🔗 suspect.gg/p/76561198200357723

kayo enjoyer

NOT ENOUGH DATA
76561198200357723
Steam↗Leetify↗
0/1
REVIEW SIGNALS
NOT ENOUGH DATA
ANALYSED FROM DEMOS

No verdict yet: we have analysed 1 of this player's matches, 1 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.

506MS
TIME TO DAMAGENormal
—%
WIN RATErecent

Analysed 1 match: nothing flagged.

SIGNAL BREAKDOWN
vs 39,835 analysed player-matches
Aim accuracy22.7%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 47% of analysed player-matches
Headshot share10.6%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 32% of analysed player-matches
Damage-to-kill506ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 19% of analysed player-matches
Crosshair pre-aim8.0°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 28% of analysed player-matches
Leetify: couldn't check
NO CLIPanalysed · nothing flagged
ANALYSED
No clip rendered yet

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

MULTI-SOURCE STATS
Playtimeprivate
Account age—
VAC bans0
Game bans0
bans checked less than an hour ago
No Premier rating available
No FACEIT account
Couldn't check Leetify this time. Try again in a few minutes.
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
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MATCH HISTORY
Leetify history · demos enrich rosters & signals
✓
CACHE
K / D18/18
ADR103
HS%33%
RATING1.31
No signal
ROSTER01Greed02emo03kayo enjoyer04Jackielele05N0V006Леня чыкыбрыкы07krutoi pacan 87208d109C o m a t o z z e10F R A N G O
WEAPON BREAKDOWN · ANALYSED DEMOS
AK-4710 kills · 20% HS
M4A1-S4 kills · 50% HS
M4A42 kills · 0% HS
Glock-182 kills · 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
◆ ALLEGEDSignals are model-flagged from demo analysis and public data: triage, not a verdict. Every finding is appealable.