76561198042494667

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76561198042494667

edin
nuke
cache
dust2
mills
thera
train
agency
office
anubis
basalt
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
30
TeamDocks
our rating
84
Aim
leetify
61
Positioning
leetify
38
Utility
leetify
Best match
4–13 · 0.49
Inferno · peak rating
Matches analysed
2 · 0.59 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.40 · Weak
HS % 50.0% · Normal
Spray Control 61.7 · Normal
Preaim 9.6° · Weak
Counter-Strafing 88.6% · Normal
Time to Damage 576ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
30
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
30
our skill index
Ø Rating
0.59
Ø K/D
0.4
Ø ADR
57.7
Ø KAST
66.9%
Ø HS
50%
Kill-level signals
Wallbang Kills
7.1%
Smoke Kills
0%
Ø Kill Distance
18.6m
Duel & utility signals
Ø Utility Dmg
53.5
HE + molotov, per match
Ø Equip Value
$3,357
post-buy, per round
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.

30
050100
Impact Rating0ADR25KAST48K/D0Headshot %60Spray Control62Counter-Strafe82Flash Quality0
Counter-Strafe 82
10% weight +7.8
Spray Control 61.7
11% weight +7.1
KAST 66.9%
14% weight +6.9
Headshot % 50%
8% weight +4.6
ADR 57.7
14% weight +3.6
Impact Rating 0.59
27% weight +0.0
K/D 0.4
11% weight +0.0
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.