76561197960432008

edin
nuke
italy
cache
dust2
mills
thera
train
office
anubis
golden
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
57
TeamDocks
our rating
37
Aim
leetify
54
Positioning
leetify
49
Utility
leetify
Best match
28–19 · 1.63
Nuke · peak rating
Matches analysed
10 · 1.16 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.07 · Normal
HS % 45.6% · Normal
Spray Control 63.5 · Normal
Preaim 9.0° · Normal
Counter-Strafing 70.3% · Normal
Time to Damage 642ms · Weak
CS2 Hours
1,965h
plausible
Account Age
22y
10 months
Steam Level
16
Bans
0
clean
Games
178
4,462h total
Friends
private
Country
unknown
TeamDocks Rating
57
10 matches with us
database

TeamDocks Match Data

10 matches · our own demo analysis
Performance
TD Rating
57
our skill index
Ø Rating
1.16
Ø K/D
1.07
Ø ADR
86.5
Ø KAST
69.7%
Ø HS
45.6%
Kill-level signals
Wallbang Kills
4.8%
Smoke Kills
8%
Ø Kill Distance
20.2m
Duel & utility signals
Opening Duel Win
44.4%
8–10 openings
Trade Kills
6
teammate deaths avenged
Ø Utility Dmg
49.1
HE + molotov, per match
Ø Equip Value
$4,080
post-buy, per round
Full-buy Win
58.7%
rounds won on a full buy
military_tech

TeamDocks Rating

10 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.

57
050100
Impact Rating56ADR66KAST56K/D39Headshot %51Spray Control64Counter-Strafe79Flash Quality21
Impact Rating 1.16
27% weight +14.9
ADR 86.5
14% weight +9.4
KAST 69.7%
14% weight +8.0
Counter-Strafe 79
10% weight +7.5
Spray Control 63.5
11% weight +7.3
K/D 1.07
11% weight +4.5
Headshot % 45.6%
8% weight +3.9
Flash Quality 21%
5% weight +1.0

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.