76561197994633174

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
32
TeamDocks
our rating
81
Aim
leetify
47
Positioning
leetify
69
Utility
leetify
Best match
14–15 · 1.05
Nuke · peak rating
Matches analysed
2 · 0.73 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.72 · Weak
HS % 32.1% · Weak
Spray Control 67.8 · Normal
Preaim 10.3° · Weak
Counter-Strafing 85.1% · Normal
Time to Damage 624ms · Normal
CS2 Hours
private
Account Age
18y
8 months
Steam Level
16
Bans
0
clean
Games
private
Friends
private
Country
GBGB
TeamDocks Rating
32
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
32
our skill index
Ø Rating
0.73
Ø K/D
0.72
Ø ADR
70.4
Ø KAST
52.4%
Ø HS
32.1%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
4.8%
Ø Kill Distance
17.1m
Duel & utility signals
Clutch Win
14.3%
1/7 1vX won
Ø Utility Dmg
33.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,021
post-buy, per round
Full-buy Win
18.8%
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.

32
050100
Impact Rating13ADR43KAST7K/D10Headshot %24Spray Control68Counter-Strafe90Flash Quality47
Counter-Strafe 90
10% weight +8.6
Spray Control 67.8
11% weight +7.8
ADR 70.4
14% weight +6.1
Impact Rating 0.73
27% weight +3.5
Flash Quality 47%
5% weight +2.2
Headshot % 32.1%
8% weight +1.8
K/D 0.72
11% weight +1.1
KAST 52.4%
14% weight +1.0

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.