76561197972338384

edin
nuke
cache
dust2
mills
train
office
anubis
mirage
warden
ancient
inferno
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
46
TeamDocks
our rating
31
Aim
leetify
40
Positioning
leetify
39
Utility
leetify
Best match
18–14 · 1.26
Anubis · peak rating
Matches analysed
2 · 1.05 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.07 · Normal
HS % 34.7% · Weak
Spray Control 50.5 · Weak
Preaim 6.2° · Normal
Counter-Strafing 64.2% · Weak
Time to Damage 659ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
46
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
46
our skill index
Ø Rating
1.05
Ø K/D
1.07
Ø ADR
74.7
Ø KAST
62.5%
Ø HS
34.7%
Kill-level signals
Wallbang Kills
6.7%
Smoke Kills
3.3%
Ø Kill Distance
18m
Duel & utility signals
Clutch Win
0%
0/5 1vX won
Ø Utility Dmg
74.5
HE + molotov, per match
Ø Equip Value
$3,633
post-buy, per round
Full-buy Win
38.9%
rounds won on a full buy
military_tech

TeamDocks Rating

2 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 2 analyzed matches. Firms up as more of this player's games get processed.

46
050100
Impact Rating45ADR50KAST36K/D39Headshot %29Spray Control51Counter-Strafe72
Impact Rating 1.05
28% weight +12.6
ADR 74.7
15% weight +7.5
Counter-Strafe 72
10% weight +7.2
Spray Control 50.5
12% weight +6.1
KAST 62.5%
15% weight +5.4
K/D 1.07
12% weight +4.7
Headshot % 34.7%
8% weight +2.3

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.