76561197971233147

nuke
cache
dust2
train
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
46
TeamDocks
our rating
54
Aim
leetify
49
Positioning
leetify
72
Utility
leetify
Best match
22–9 · 1.88
Inferno · peak rating
Matches analysed
18 · 0.95 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.84 · Weak
HS % 44.8% · Normal
Spray Control 58.6 · Normal
Preaim 7.7° · Normal
Counter-Strafing 78.2% · Normal
Time to Damage 631ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
46
18 matches with us
database

TeamDocks Match Data

18 matches · our own demo analysis
Performance
TD Rating
46
our skill index
Ø Rating
0.95
Ø K/D
0.84
Ø ADR
65.3
Ø KAST
74%
Ø HS
44.8%
Kill-level signals
Wallbang Kills
4%
Smoke Kills
8.8%
Ø Kill Distance
18.4m
Duel & utility signals
Opening Duel Win
43.1%
22–29 openings
Trade Kills
34
teammate deaths avenged
Clutch Win
14.9%
7/47 1vX won
Ø Utility Dmg
74.1
HE + molotov, per match
Flash Assists
5
enemies blinded → team frag
Ø Equip Value
$3,922
post-buy, per round
Full-buy Win
59.2%
rounds won on a full buy
military_tech

TeamDocks Rating

18 matches · high 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.

46
050100
Impact Rating35ADR36KAST69K/D20Headshot %50Spray Control59Counter-Strafe78Flash Quality22
KAST 74%
14% weight +9.9
Impact Rating 0.95
27% weight +9.3
Counter-Strafe 78
10% weight +7.4
Spray Control 58.6
11% weight +6.7
ADR 65.3
14% weight +5.1
Headshot % 44.8%
8% weight +3.8
K/D 0.84
11% weight +2.3
Flash Quality 22%
5% 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.