76561197995928782

nuke
italy
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
63
TeamDocks
our rating
91
Aim
leetify
50
Positioning
leetify
63
Utility
leetify
Best match
23–10 · 2.16
Cache · peak rating
Matches analysed
11 · 1.25 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.18 · Normal
HS % 46.6% · Normal
Spray Control 59.2 · Normal
Preaim 8.6° · Normal
Counter-Strafing 82.1% · Normal
Time to Damage 562ms · Normal
CS2 Hours
private
Account Age
18y
6 months
Steam Level
111
Bans
0
clean
Games
private
Friends
private
Country
PLPL
TeamDocks Rating
63
11 matches with us
database

TeamDocks Match Data

11 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.25
Ø K/D
1.18
Ø ADR
89.4
Ø KAST
75.2%
Ø HS
46.6%
Kill-level signals
Wallbang Kills
2.6%
Smoke Kills
7.9%
Ø Kill Distance
19.6m
Duel & utility signals
Opening Duel Win
54.1%
33–28 openings
Trade Kills
21
teammate deaths avenged
Clutch Win
12.5%
3/24 1vX won
Ø Utility Dmg
100.8
HE + molotov, per match
Ø Equip Value
$3,740
post-buy, per round
Full-buy Win
59%
rounds won on a full buy
military_tech

TeamDocks Rating

11 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.

63
050100
Impact Rating65ADR71KAST72K/D48Headshot %53Spray Control59Counter-Strafe81Flash Quality33
Impact Rating 1.25
27% weight +17.3
KAST 75.2%
14% weight +10.3
ADR 89.4
14% weight +10.1
Counter-Strafe 81
10% weight +7.7
Spray Control 59.2
11% weight +6.7
K/D 1.18
11% weight +5.5
Headshot % 46.6%
8% weight +4.0
Flash Quality 33%
5% weight +1.6

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.