/ p / ♥бешеная кошка
🔗 suspect.gg/p/76561198428386706
LVL 27

♥бешеная кошка

NOT ENOUGH DATA
76561198428386706|FACEIT Beshenaya|RU|9.1 yrs old
Steam↗FACEIT↗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.

768MS
TIME TO DAMAGENormal
—%
WIN RATErecent

Analysed 1 match: nothing flagged.

SIGNAL BREAKDOWN
vs 41,556 analysed player-matches
Aim accuracy29.5%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 79% of analysed player-matches
Headshot share6.6%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 12% of analysed player-matches
Damage-to-kill768ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 3% of analysed player-matches
Crosshair pre-aim13.3°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 4% of analysed player-matches
NO CLIPanalysed · nothing flagged
ANALYSED
No clip rendered yet

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

free · rate-limited
MULTI-SOURCE STATS
Playtime9,177h
Account age9.1y
VAC bans0
Game bans0
bans checked less than an hour ago
No Premier rating available
FACEIT level 3
ELO 870
K/D0.67
HS %46%
No Leetify data
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
lessmore
MATCH HISTORY
Leetify history · demos enrich rosters & signals
✓
MIRAGE
K / D13/12
ADR64
HS%23%
RATING1.16
No signal
Analysed
ROSTER01adys02Zbon Remix03h3kk004꧁SaGa [1]꧂𓃮𓆩🤍05TomJum06994407BliauBinas08✮Megavolt☭09bonk☁10♥бешеная кошка
WEAPON BREAKDOWN
Per-weapon kills are collected as we analyse this player's demos. This section fills in on the next analysis pass.
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.
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◆ ALLEGEDSignals are model-flagged from demo analysis and public data: triage, not a verdict. Every finding is appealable.