76561199387577140

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
55
TeamDocks
our rating
81
Aim
leetify
60
Positioning
leetify
73
Utility
leetify
Best match
12–10 · 1.43
Ancient · peak rating
Matches analysed
5 · 1.12 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.97 · Normal
HS % 46.9% · Normal
Spray Control 60.3 · Normal
Preaim 7.2° · Normal
Counter-Strafing 81.1% · Normal
Time to Damage 568ms · Normal
CS2 Hours
private
Account Age
3y
11 months
Steam Level
24
Bans
0
clean
Games
private
Friends
62
Country
CCCC
TeamDocks Rating
55
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
55
our skill index
Ø Rating
1.12
Ø K/D
0.97
Ø ADR
80.9
Ø KAST
73.7%
Ø HS
46.9%
Kill-level signals
Wallbang Kills
2.9%
Smoke Kills
4.4%
Ø Kill Distance
16.8m
Duel & utility signals
Opening Duel Win
38.5%
5–8 openings
Trade Kills
7
teammate deaths avenged
Clutch Win
0%
0/11 1vX won
Ø Utility Dmg
35.2
HE + molotov, per match
Ø Equip Value
$3,628
post-buy, per round
Full-buy Win
47.2%
rounds won on a full buy
military_tech

TeamDocks Rating

5 matches · medium 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.

55
050100
Impact Rating52ADR58KAST68K/D31Headshot %54Spray Control60Counter-Strafe74Flash Quality27
Impact Rating 1.12
27% weight +13.9
KAST 73.7%
14% weight +9.7
ADR 80.9
14% weight +8.3
Counter-Strafe 74
10% weight +7.0
Spray Control 60.3
11% weight +6.9
Headshot % 46.9%
8% weight +4.1
K/D 0.97
11% weight +3.5
Flash Quality 27%
5% weight +1.3

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.