/ p / bigV
🔗 suspect.gg/76561198992249856
LVL 5

bigV

WATCH
76561198992249856|FACEIT BigV|NO|6.9 yrs old
SteamFACEITLeetify
0
SUSPECT INDEX
WATCH
SIGNALS ONLY
202MS
TIME TO DAMAGEFast reactions
%
WIN RATErecent

We parsed the demo and flagged the signals below. Render the evidence to see them on video.

SIGNAL BREAKDOWN
vs 1,846 analysed players
Aim accuracy29.6%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 82% of analysed players
Headshot share10.8%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 35% of analysed players
Damage-to-kill202ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 86% of analysed players
Crosshair pre-aim6.1°
How far the crosshair sat off the enemy at first contact (lower = already aimed before seeing them).tighter than 59% of analysed players
PROOFsignals flagged · clip not rendered
AWAITING RENDER
No clip rendered yet

We've parsed the demo and flagged the signals on the left. Render the evidence to see the flagged rounds on video.

free · rate-limited
MULTI-SOURCE STATS
Playtime1,327h
Account age6.9y
VAC bans0
Game bans0
No Premier rating available
FACEIT level 3
ELO 857
K/D1.05
HS %33%
No Leetify data
FACEIT · PERFORMANCE BY MAP
Premier is a single rating · shown above
vertigo
1m
Win rate0%
K/D1.07
HS%27%
inferno
20m
Win rate45%
K/D1.16
HS%32%
nuke
21m
Win rate48%
K/D1.06
HS%37%
mirage
64m
Win rate38%
K/D1.01
HS%34%
overpass
3m
Win rate67%
K/D0.70
HS%20%
ancient
18m
Win rate44%
K/D1.10
HS%27%
dust2
61m
Win rate44%
K/D1.08
HS%33%
anubis
18m
Win rate56%
K/D0.92
HS%33%
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
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MATCH HISTORY
Leetify history · demos enrich rosters & signals
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INFERNO
K / D10/11
ADR59
HS%20%
RATING0.91
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Analysed
ROSTER01Syrusas02Gambit_X03AcmuX04Squanchy.05bigV06Autistic dumpster fire07amxmodmenu08*K.o?09ReZ110Lee
WEAPON BREAKDOWN
Per-weapon kills are collected as we analyse this player's demos — this section fills in on the next analysis pass.
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◆ ALLEGEDSignals are model-flagged from demo analysis and public data — triage, not a verdict. Every finding is appealable.