76561197960374372

nuke
italy
dust2
grail
train
anubis
mirage
shelter
ancient
inferno
fachwerk
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
58
TeamDocks
our rating
87
Aim
leetify
58
Positioning
leetify
78
Utility
leetify
Best match
14–14 · 1.33
Ancient · peak rating
Matches analysed
15 · 1.11 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.02 · Normal
HS % 47.9% · Normal
Spray Control 71.3 · Slightly Sus
Preaim 8.1° · Normal
Counter-Strafing 83.3% · Normal
Time to Damage 553ms · Normal
CS2 Hours
private
Account Age
22y
10 months
Steam Level
89
Bans
0
clean
Games
private
Friends
private
Country
ATAT
TeamDocks Rating
58
15 matches with us
database

TeamDocks Match Data

15 matches · our own demo analysis
Performance
TD Rating
58
our skill index
Ø Rating
1.11
Ø K/D
1.02
Ø ADR
77.6
Ø KAST
77.1%
Ø HS
47.9%
Kill-level signals
Wallbang Kills
3.9%
Smoke Kills
4.4%
Ø Kill Distance
21.9m
Duel & utility signals
Clutch Win
30%
3/10 1vX won
Ø Utility Dmg
11.3
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,808
post-buy, per round
Full-buy Win
58.5%
rounds won on a full buy
military_tech

TeamDocks Rating

15 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.

58
050100
Impact Rating51ADR54KAST77K/D35Headshot %56Spray Control71Counter-Strafe78Flash Quality38
Impact Rating 1.11
27% weight +13.6
KAST 77.1%
14% weight +11.0
Spray Control 71.3
11% weight +8.1
ADR 77.6
14% weight +7.7
Counter-Strafe 78
10% weight +7.4
Headshot % 47.9%
8% weight +4.3
K/D 1.02
11% weight +4.0
Flash Quality 38%
5% weight +1.8

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.