/ p / Даня ёпт
🔗 suspect.gg/p/76561198325418760
LVL 9
Даня ёпт
NOT ENOUGH DATA
76561198325418760|FACEIT danyaept|UA|10.2 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.
323MS
—%
Analysed 1 match: nothing flagged.
SIGNAL BREAKDOWN
vs 41,556 analysed player-matches
Aim accuracy21.9%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 42% of analysed player-matches
Headshot share12.1%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 41% of analysed player-matches
Damage-to-kill323ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 53% of analysed player-matches
Crosshair pre-aim9.8°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 14% of analysed player-matches
Leetify: couldn't check
MULTI-SOURCE STATS
Playtime3,809h
Account age10.2y
VAC bans0
Game bans0
bans checked less than an hour ago
No Premier rating available
ELO 1,585
K/D1.11
HS %36%
Couldn't check Leetify this time. Try again in a few minutes.
FACEIT · PERFORMANCE BY MAP
Premier is a single rating · shown above
10m
Win rate50%
K/D1.37
HS%39%
64m
Win rate53%
K/D1.14
HS%36%
94m
Win rate51%
K/D1.09
HS%39%
34m
Win rate41%
K/D1.04
HS%39%
3m
Win rate67%
K/D1.23
HS%38%
59m
Win rate59%
K/D1.11
HS%39%
4m
Win rate50%
K/D1.13
HS%31%
181m
Win rate53%
K/D1.17
HS%40%
70m
Win rate47%
K/D1.13
HS%39%
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
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MATCH HISTORY
Leetify history · 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.
◆ ALLEGEDSignals are model-flagged from demo analysis and public data: triage, not a verdict. Every finding is appealable.