76561198130064973

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
72
Aim
leetify
49
Positioning
leetify
58
Utility
leetify
Best match
35–24 · 1.69
Anubis · peak rating
Matches analysed
8 · 1.37 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.32 · Normal
HS % 27.0% · Weak
Spray Control 43.8 · Weak
Preaim 8.4° · Normal
Counter-Strafing 72.8% · Normal
Time to Damage 625ms · Normal
CS2 Hours
7,160h
plausible
Account Age
12y
4 months
Steam Level
33
Bans
0
clean
Games
167
18,716h total
Friends
263
Country
SESE
TeamDocks Rating
63
8 matches with us
database

TeamDocks Match Data

8 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.37
Ø K/D
1.32
Ø ADR
91.6
Ø KAST
76.9%
Ø HS
27%
Kill-level signals
Wallbang Kills
0.6%
Smoke Kills
5%
Ø Kill Distance
13.9m
Duel & utility signals
Opening Duel Win
66.7%
24–12 openings
Trade Kills
22
teammate deaths avenged
Clutch Win
9.1%
2/22 1vX won
Ø Utility Dmg
43.5
HE + molotov, per match
Ø Equip Value
$4,210
post-buy, per round
Full-buy Win
52.2%
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.

63
050100
Impact Rating77ADR74KAST77K/D60Headshot %14Spray Control44Counter-Strafe77Flash Quality19
Impact Rating 1.37
27% weight +20.5
KAST 76.9%
14% weight +11.0
ADR 91.6
14% weight +10.6
Counter-Strafe 77
10% weight +7.3
K/D 1.32
11% weight +6.9
Spray Control 43.8
11% weight +5.0
Headshot % 27%
8% weight +1.1
Flash Quality 19%
5% weight +0.9

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.