76561198065260161

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76561198065260161

jura
nuke
italy
cache
dust2
grail
mills
thera
train
agency
alpine
office
anubis
golden
mirage
warden
ancient
inferno
palacio
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
78
TeamDocks
our rating
86
Aim
leetify
65
Positioning
leetify
55
Utility
leetify
Best match
19–12 · 1.48
Anubis · peak rating
Matches analysed
2 · 1.44 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.54 · Slightly Sus
HS % 65.6% · Slightly Sus
Spray Control 74.0 · Slightly Sus
Preaim 5.0° · Slightly Sus
Counter-Strafing 84.2% · Normal
Time to Damage 674ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
78
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
78
our skill index
Ø Rating
1.44
Ø K/D
1.54
Ø ADR
90.8
Ø KAST
82.1%
Ø HS
65.6%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
14.7%
Ø Kill Distance
18.1m
Duel & utility signals
Ø Utility Dmg
57
HE + molotov, per match
Ø Equip Value
$4,105
post-buy, per round
Full-buy Win
73.3%
rounds won on a full buy
military_tech

TeamDocks Rating

2 matches · provisional

Our own 0–100 skill index, a weighted composite of every performance dimension we can measure from this player's parsed demos — not Leetify's rating. Each row below shows its raw value, its 0–100 sub-score and how many points it contributed to the final number.

Provisional — based on only 2 analyzed matches. Firms up as more of this player's games get processed.

78
050100
Impact Rating84ADR73KAST92K/D78Headshot %91Spray Control74Counter-Strafe76Flash Quality0
Impact Rating 1.44
27% weight +22.4
KAST 82.1%
14% weight +13.1
ADR 90.8
14% weight +10.4
K/D 1.54
11% weight +8.9
Spray Control 74
11% weight +8.5
Counter-Strafe 76
10% weight +7.2
Headshot % 65.6%
8% weight +6.9
Flash Quality 0%
5% weight +0.0

Final score = weighted average of each dimension's 0–100 sub-score. Contribution = sub-score × (renormalized weight). Not affiliated with Valve/Leetify/FACEIT — this is our own measure from our own demo parsing.