76561197994864457

nuke
italy
dust2
grail
mills
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
40
TeamDocks
our rating
62
Aim
leetify
43
Positioning
leetify
58
Utility
leetify
Best match
22–15 · 1.52
Anubis · peak rating
Matches analysed
8 · 0.86 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.86 · Weak
HS % 44.8% · Normal
Spray Control 63.6 · Normal
Preaim 7.8° · Normal
Counter-Strafing 75.9% · Normal
Time to Damage 582ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
40
8 matches with us
database

TeamDocks Match Data

8 matches · our own demo analysis
Performance
TD Rating
40
our skill index
Ø Rating
0.86
Ø K/D
0.86
Ø ADR
62
Ø KAST
66.4%
Ø HS
44.8%
Kill-level signals
Wallbang Kills
1.1%
Smoke Kills
9.6%
Ø Kill Distance
18.1m
Duel & utility signals
Opening Duel Win
36.6%
15–26 openings
Trade Kills
16
teammate deaths avenged
Clutch Win
26.7%
4/15 1vX won
Ø Utility Dmg
31.5
HE + molotov, per match
Ø Equip Value
$3,866
post-buy, per round
Full-buy Win
60.7%
rounds won on a full buy
military_tech

TeamDocks Rating

8 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.

40
050100
Impact Rating26ADR31KAST47K/D22Headshot %50Spray Control64Counter-Strafe75Flash Quality22
Spray Control 63.6
11% weight +7.3
Counter-Strafe 75
10% weight +7.1
Impact Rating 0.86
27% weight +6.9
KAST 66.4%
14% weight +6.7
ADR 62
14% weight +4.4
Headshot % 44.8%
8% weight +3.8
K/D 0.86
11% weight +2.5
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.