/ p / Zharcks
🔗 suspect.gg/p/76561199617492909
LVL 3

Zharcks

NOT ENOUGH DATA
76561199617492909|FACEIT Zharcks|PT|2.8 yrs old
Steam↗FACEIT↗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.

379MS
TIME TO DAMAGENormal
—%
WIN RATErecent

Analysed 1 match: nothing flagged.

SIGNAL BREAKDOWN
vs 39,615 analysed player-matches
Aim accuracy35.0%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 91% of analysed player-matches
Headshot share7.1%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 13% of analysed player-matches
Damage-to-kill379ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 41% of analysed player-matches
Game ban on recordLeetify: 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
Playtime0h
Account age2.8y
VAC bans0
Game bans1
bans checked less than an hour ago
No Premier rating available
FACEIT level 6
ELO 1,304
K/D1.04
HS %49%
Couldn't check Leetify this time. Try again in a few minutes.
FACEIT · PERFORMANCE BY MAP
Premier is a single rating · shown above
nuke
1m
Win rate100%
K/D1.07
HS%75%
dust2
36m
Win rate58%
K/D1.21
HS%47%
mirage
43m
Win rate53%
K/D0.97
HS%50%
anubis
38m
Win rate47%
K/D0.94
HS%47%
inferno
23m
Win rate57%
K/D1.08
HS%49%
ancient
2m
Win rate0%
K/D0.60
HS%70%
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
lessmore
MATCH HISTORY
Leetify history · demos enrich rosters & signals
·
INFERNO
K / D4/4
ADR52
HS%25%
RATING0.95
Too few kills to score
ROSTER01Zigarreten02𝗱𝗲𝗽𝗿𝗲??𝗲𝗱 市科中に死んだ03formidable04Michael Dodep05Zharcks06NaPi07Tiko :308⎛⎝FOSTER SON⎠⎞09the_lupa10LolEx2345
WEAPON BREAKDOWN · ANALYSED DEMOS
MP92 kills · 0% HS
M4A42 kills · 50% HS
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◆ ALLEGEDSignals are model-flagged from demo analysis and public data: triage, not a verdict. Every finding is appealable.