76561198070922360

nuke
italy
cache
dust2
grail
mills
thera
train
agency
alpine
office
anubis
basalt
mirage
warden
shelter
ancient
boulder
inferno
vertigo
overpass
stronghold
Watch
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
84
TeamDocks
our rating
90
Aim
leetify
45
Positioning
leetify
56
Utility
leetify
Best match
21–4 · 2.33
Nuke · peak rating
Matches analysed
5 · 1.65 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 2.46 · Highly Sus
HS % 40.0% · Weak
Spray Control 65.9 · Normal
Preaim 14.7° · Weak
Counter-Strafing 83.5% · Normal
Time to Damage 578ms · Normal
CS2 Hours
private
Account Age
13y
11 months
Steam Level
50
Bans
0
clean
Games
private
Friends
private
Country
MOMO
TeamDocks Rating
84
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
84
our skill index
Ø Rating
1.65
Ø K/D
2.46
Ø ADR
102.9
Ø KAST
86.1%
Ø HS
40%
Kill-level signals
Wallbang Kills
6.9%
Smoke Kills
3.4%
Ø Kill Distance
17.3m
Duel & utility signals
Clutch Win
50%
5/10 1vX won
Ø Utility Dmg
38.6
HE + molotov, per match
Ø Equip Value
$4,055
post-buy, per round
Full-buy Win
73.3%
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.

84
050100
Impact Rating100ADR90KAST100K/D100Headshot %40Spray Control66Counter-Strafe85Flash Quality8
Impact Rating 1.65
27% weight +26.7
KAST 86.1%
14% weight +14.3
ADR 102.9
14% weight +12.9
K/D 2.46
11% weight +11.4
Counter-Strafe 85
10% weight +8.1
Spray Control 65.9
11% weight +7.5
Headshot % 40%
8% weight +3.0
Flash Quality 8%
5% weight +0.4

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.