76561199236521383

nuke
cache
dust2
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
47
TeamDocks
our rating
61
Aim
leetify
51
Positioning
leetify
48
Utility
leetify
Best match
20–16 · 1.34
Ancient · peak rating
Matches analysed
4 · 1.02 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.91 · Normal
HS % 54.6% · Normal
Spray Control 48.4 · Weak
Preaim 6.3° · Normal
Counter-Strafing 77.3% · Normal
Time to Damage 607ms · Normal
CS2 Hours
6,530h
plausible
Account Age
4y
6 months
Steam Level
14
Bans
0
clean
Games
8
6,608h total
Friends
176
Country
DKDK
TeamDocks Rating
47
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
47
our skill index
Ø Rating
1.02
Ø K/D
0.91
Ø ADR
79.3
Ø KAST
67.3%
Ø HS
54.6%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
3.5%
Ø Kill Distance
15.3m
Duel & utility signals
Opening Duel Win
30.8%
4–9 openings
Trade Kills
5
teammate deaths avenged
Ø Utility Dmg
9.3
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,385
post-buy, per round
Full-buy Win
53.1%
rounds won on a full buy
military_tech

TeamDocks Rating

4 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 4 analyzed matches. Firms up as more of this player's games get processed.

47
050100
Impact Rating42ADR56KAST49K/D26Headshot %69Spray Control48Counter-Strafe73Flash Quality13
Impact Rating 1.02
27% weight +11.2
ADR 79.3
14% weight +8.0
KAST 67.3%
14% weight +7.0
Counter-Strafe 73
10% weight +7.0
Spray Control 48.4
11% weight +5.5
Headshot % 54.6%
8% weight +5.3
K/D 0.91
11% weight +3.0
Flash Quality 13%
5% weight +0.6

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.