76561198166126496

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
60
TeamDocks
our rating
83
Aim
leetify
64
Positioning
leetify
79
Utility
leetify
Best match
10–9 · 1.20
Ancient · peak rating
Matches analysed
2 · 1.18 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.06 · Normal
HS % 53.7% · Normal
Spray Control 56.7 · Normal
Preaim 6.6° · Normal
Counter-Strafing 79.6% · Normal
Time to Damage 545ms · Normal
CS2 Hours
3,311h
plausible
Account Age
11y
8 months
Steam Level
33
Bans
0
clean
Games
49
5,337h total
Friends
155
Country
USUS
TeamDocks Rating
60
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
60
our skill index
Ø Rating
1.18
Ø K/D
1.06
Ø ADR
91
Ø KAST
73.3%
Ø HS
53.7%
Kill-level signals
Wallbang Kills
3.4%
Smoke Kills
3.4%
Ø Kill Distance
16.1m
Duel & utility signals
Ø Utility Dmg
31.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,517
post-buy, per round
Full-buy Win
83.3%
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.

60
050100
Impact Rating58ADR73KAST67K/D38Headshot %67Spray Control57Counter-Strafe75Flash Quality26
Impact Rating 1.18
27% weight +15.5
ADR 91
14% weight +10.4
KAST 73.3%
14% weight +9.6
Counter-Strafe 75
10% weight +7.1
Spray Control 56.7
11% weight +6.5
Headshot % 53.7%
8% weight +5.1
K/D 1.06
11% weight +4.3
Flash Quality 26%
5% weight +1.2

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.