/ p / proklyat
π suspect.gg/p/76561199007483628
LVL 33
proklyat
NOT ENOUGH DATA
76561199007483628|FACEIT dickeeyyy|6.9 yrs old
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.
300MS
β%
Analysed 1 match: nothing flagged.
SIGNAL BREAKDOWN
vs 40,559 analysed player-matches
Aim accuracy36.6%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 93% of analysed player-matches
Headshot share12.7%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 44% of analysed player-matches
Damage-to-kill300ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 59% of analysed player-matches
Crosshair pre-aim3.1Β°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 94% of analysed player-matches
Leetify: couldn't check
MULTI-SOURCE STATS
Playtimeprivate
Account age6.9y
VAC bans0
Game bans0
bans checked less than an hour ago
No Premier rating available
ELO 999
K/D1.11
HS %45%
Couldn't check Leetify this time. Try again in a few minutes.
FACEIT Β· PERFORMANCE BY MAP
Premier is a single rating Β· shown above
142m
Win rate51%
K/D1.15
HS%44%
37m
Win rate24%
K/D0.91
HS%47%
1m
Win rate100%
K/D1.20
HS%50%
27m
Win rate41%
K/D1.14
HS%46%
26m
Win rate54%
K/D1.09
HS%47%
59m
Win rate53%
K/D1.19
HS%42%
13m
Win rate69%
K/D1.17
HS%52%
14m
Win rate50%
K/D1.02
HS%53%
5m
Win rate20%
K/D1.03
HS%41%
STEAM INVENTORY
ACTIVITY Β· LAST 120 DAYS
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MATCH HISTORY
Leetify history Β· demos enrich rosters & signals
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.
β ALLEGEDSignals are model-flagged from demo analysis and public data: triage, not a verdict. Every finding is appealable.