76561197996245280

edin
nuke
italy
cache
dust2
mills
train
anubis
basalt
mirage
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
83
TeamDocks
our rating
62
Aim
leetify
46
Positioning
leetify
73
Utility
leetify
Best match
30–11 · 2.10
Dust2 · peak rating
Matches analysed
3 · 1.56 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.80 · Slightly Sus
HS % 48.9% · Normal
Spray Control 63.1 · Normal
Preaim 9.6° · Weak
Counter-Strafing 73.9% · Normal
Time to Damage 595ms · Normal
CS2 Hours
private
Account Age
18y
6 months
Steam Level
67
Bans
0
clean
Games
private
Friends
82
Country
SKSK
TeamDocks Rating
83
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
83
our skill index
Ø Rating
1.56
Ø K/D
1.8
Ø ADR
97.5
Ø KAST
84.9%
Ø HS
48.9%
Kill-level signals
Wallbang Kills
3.1%
Smoke Kills
1.6%
Ø Kill Distance
16m
Duel & utility signals
Opening Duel Win
50%
7–7 openings
Trade Kills
10
teammate deaths avenged
Clutch Win
45.5%
5/11 1vX won
Ø Utility Dmg
31.3
HE + molotov, per match
Ø Equip Value
$3,933
post-buy, per round
Full-buy Win
67.6%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

83
050100
Impact Rating96ADR82KAST100K/D100Headshot %58Spray Control63Counter-Strafe70Flash Quality32
Impact Rating 1.56
27% weight +25.6
KAST 84.9%
14% weight +14.3
ADR 97.5
14% weight +11.7
K/D 1.8
11% weight +11.4
Spray Control 63.1
11% weight +7.2
Counter-Strafe 70
10% weight +6.7
Headshot % 48.9%
8% weight +4.4
Flash Quality 32%
5% weight +1.5

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.