76561199285602279

nuke
dust2
office
anubis
golden
mirage
ancient
inferno
palacio
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
58
TeamDocks
our rating
58
Aim
leetify
43
Positioning
leetify
46
Utility
leetify
Best match
19–3 · 2.23
Nuke · peak rating
Matches analysed
20 · 1.13 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.33 · Normal
HS % 46.0% · Normal
Spray Control 62.1 · Normal
Preaim 8.4° · Normal
Counter-Strafing 81.1% · Normal
Time to Damage 677ms · Weak
CS2 Hours
1,461h
plausible
Account Age
4y
2 months
Steam Level
6
Bans
0
clean
Games
15
1,822h total
Friends
private
Country
DKDK
TeamDocks Rating
58
20 matches with us
database

TeamDocks Match Data

20 matches · our own demo analysis
Performance
TD Rating
58
our skill index
Ø Rating
1.13
Ø K/D
1.33
Ø ADR
86.2
Ø KAST
70%
Ø HS
46%
Kill-level signals
Wallbang Kills
3.4%
Smoke Kills
6.1%
Ø Kill Distance
19.8m
Duel & utility signals
Opening Duel Win
51%
50–48 openings
Trade Kills
29
teammate deaths avenged
Clutch Win
24%
6/25 1vX won
Ø Utility Dmg
32.4
HE + molotov, per match
Ø Equip Value
$3,335
post-buy, per round
Full-buy Win
58.8%
rounds won on a full buy
military_tech

TeamDocks Rating

20 matches · high confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

58
050100
Impact Rating53ADR66KAST57K/D61Headshot %52Spray Control62Counter-Strafe75Flash Quality33
Impact Rating 1.13
27% weight +14.1
ADR 86.2
14% weight +9.4
KAST 70%
14% weight +8.1
Spray Control 62.1
11% weight +7.1
Counter-Strafe 75
10% weight +7.1
K/D 1.33
11% weight +7.0
Headshot % 46%
8% weight +4.0
Flash Quality 33%
5% weight +1.6

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.