76561199423413481

nuke
italy
cache
dust2
grail
train
agency
alpine
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
16
TeamDocks
our rating
94
Aim
leetify
52
Positioning
leetify
67
Utility
leetify
Best match
6–17 · 0.50
Dust2 · peak rating
Matches analysed
2 · 0.35 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.34 · Weak
HS % 25.0% · Weak
Spray Control 43.6 · Weak
Preaim 5.6° · Normal
Counter-Strafing 81.5% · Normal
Time to Damage 511ms · Normal
CS2 Hours
private
Account Age
3y
9 months
Steam Level
50
Bans
0
clean
Games
private
Friends
private
Country
NLNL
TeamDocks Rating
16
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
16
our skill index
Ø Rating
0.35
Ø K/D
0.34
Ø ADR
37.1
Ø KAST
41.1%
Ø HS
25%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
25%
Ø Kill Distance
13.5m
Duel & utility signals
Ø Utility Dmg
0
HE + molotov, per match
Ø Equip Value
$1,868
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.

16
050100
Impact Rating0ADR0KAST0K/D0Headshot %10Spray Control44Counter-Strafe91Flash Quality40
Counter-Strafe 91
10% weight +8.7
Spray Control 43.6
11% weight +5.0
Flash Quality 40%
5% weight +1.9
Headshot % 25%
8% weight +0.8
Impact Rating 0.35
27% weight +0.0
ADR 37.1
14% weight +0.0
KAST 41.1%
14% weight +0.0
K/D 0.34
11% 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.