/ p / xaxf
🔗 suspect.gg/p/76561199245021646
LVL 4
xaxf
LEGIT
76561199245021646|FACEIT xaxf|4.7 yrs old
1/17
REVIEW SIGNALS
LEGIT
ANALYSED FROM DEMOS
1 of 17 rated matches (12+ kills) tripped a review signal. Typical analysed players trip up to about 6 in 100 — for 17 matches that is around 1.1. Verdict: LEGIT.
373MS
—%
1 of 17 rated matches tripped a review signal; roughly 1 in 20 rated matches does. No clip has been rendered for this player yet.
SIGNAL BREAKDOWN
vs 39,595 analysed player-matches
Aim accuracy21.6%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 40% of analysed player-matches
Headshot share20.1%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 80% of analysed player-matches
Damage-to-kill373ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 42% of analysed player-matches
Crosshair pre-aim5.3°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 66% of analysed player-matches
Leetify: couldn't check
MULTI-SOURCE STATS
Playtime0h
Account age4.7y
VAC bans0
Game bans0
bans checked less than an hour ago
No Premier rating available
ELO 953
K/D1.20
HS %55%
Couldn't check Leetify this time. Try again in a few minutes.
FACEIT · PERFORMANCE BY MAP
Premier is a single rating · shown above
2m
Win rate100%
K/D1.52
HS%69%
3m
Win rate0%
K/D0.74
HS%49%
2m
Win rate0%
K/D0.54
HS%52%
2m
Win rate100%
K/D1.62
HS%65%
1m
Win rate100%
K/D2.38
HS%32%
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
lessmore
MATCH HISTORY
Leetify history · demos enrich rosters & signals
WEAPON BREAKDOWN · ANALYSED DEMOS
AK-4757 kills · 81% HS
M4A1-S46 kills · 24% HS
M4A440 kills · 50% HS
USP-S32 kills · 75% HSGalil AR23 kills · 35% HS
Desert Eagle21 kills · 71% HSFAMAS16 kills · 50% HS
Glock-1815 kills · 73% HSSeen 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.