/ p / Toru
🔗 suspect.gg/76561198885967710
LVL 33

Toru

SUSPECT
76561198885967710|FACEIT _Toru_Sato_|RU|7.6 yrs old
SteamFACEITLeetify
0
SUSPECT INDEX
SUSPECT
SIGNALS ONLY
337MS
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 accuracy16.5%
Share of shots that landed a hit, with aimed weapons, across analysed rounds.higher than 12% of analysed players
Headshot share18.0%
Of the hits that landed, how many struck the head. High alone is not proof.higher than 77% of analysed players
Damage-to-kill337ms
Average time from first landing damage to the kill (lower = closer to an instant kill).faster than 56% 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
Model-flagged in our analysisFACEIT ban on record
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
Playtime3,812h
Account age7.6y
VAC bans0
Game bans0
No Premier rating available
FACEIT level 1
ELO 0
K/D0.89
HS %29%
No Leetify data
FACEIT · PERFORMANCE BY MAP
Premier is a single rating · shown above
ancient
1m
Win rate0%
K/D0.82
HS%36%
mirage
2m
Win rate50%
K/D1.36
HS%38%
STEAM INVENTORY
ACTIVITY · LAST 120 DAYS
lessmore
MATCH HISTORY
Leetify history · demos enrich rosters & signals
W
ANUBIS
K / D13/11
ADR77
HS%23%
RATING1.23
Watch
Analysed
ROSTER01𝐩𝟏𝐳𝐝𝐚𝐤𝐢 ☠02ka8aN0503Gvido04Mаster_Sh1fu05Syrusas06Toru07Nii'08YOLO09𒉭10TomJum
S
NUKE
K / D20/15
ADR91
HS%55%
RATING1.38
High signal
AnalysedAIM
ROSTER01TheUrbanSkunk02Toru03Syrusas04ReZ105мяв :306YOLO07Swissknight08rcy09TomJum10Skalpelis
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.