76561197996076119

edin
jura
nuke
italy
cache
dust2
grail
thera
train
anubis
basalt
mirage
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
62
TeamDocks
our rating
89
Aim
leetify
61
Positioning
leetify
64
Utility
leetify
Best match
20–12 · 1.43
Inferno · peak rating
Matches analysed
7 · 1.20 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.23 · Normal
HS % 49.9% · Normal
Spray Control 62.3 · Normal
Preaim 6.7° · Normal
Counter-Strafing 82.1% · Normal
Time to Damage 556ms · Normal
CS2 Hours
private
Account Age
18y
6 months
Steam Level
14
Bans
0
clean
Games
private
Friends
269
Country
BEBE
TeamDocks Rating
62
7 matches with us
database

TeamDocks Match Data

7 matches · our own demo analysis
Performance
TD Rating
62
our skill index
Ø Rating
1.2
Ø K/D
1.23
Ø ADR
77.3
Ø KAST
77.3%
Ø HS
49.9%
Kill-level signals
Wallbang Kills
9.7%
Smoke Kills
7.8%
Ø Kill Distance
17m
Duel & utility signals
Opening Duel Win
63.2%
12–7 openings
Trade Kills
21
teammate deaths avenged
Clutch Win
9.5%
2/21 1vX won
Ø Utility Dmg
53.7
HE + molotov, per match
Ø Equip Value
$4,151
post-buy, per round
Full-buy Win
59.1%
rounds won on a full buy
military_tech

TeamDocks Rating

7 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.

62
050100
Impact Rating60ADR53KAST78K/D53Headshot %60Spray Control62Counter-Strafe84Flash Quality30
Impact Rating 1.2
27% weight +16.0
KAST 77.3%
14% weight +11.1
Counter-Strafe 84
10% weight +8.0
ADR 77.3
14% weight +7.6
Spray Control 62.3
11% weight +7.1
K/D 1.23
11% weight +6.1
Headshot % 49.9%
8% weight +4.6
Flash Quality 30%
5% weight +1.4

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.