76561198065615190

nuke
cache
dust2
train
agency
office
anubis
basalt
golden
mirage
ancient
inferno
palacio
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
42
TeamDocks
our rating
62
Aim
leetify
31
Positioning
leetify
68
Utility
leetify
Best match
16–18 · 1.02
Dust2 · peak rating
Matches analysed
4 · 0.94 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.82 · Weak
HS % 33.4% · Weak
Spray Control 61.1 · Normal
Preaim 8.5° · Normal
Counter-Strafing 78.9% · Normal
Time to Damage 699ms · Weak
CS2 Hours
private
Account Age
14y
1 months
Steam Level
23
Bans
0
clean
Games
private
Friends
319
Country
SESE
TeamDocks Rating
42
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
42
our skill index
Ø Rating
0.94
Ø K/D
0.82
Ø ADR
76.7
Ø KAST
64%
Ø HS
33.4%
Kill-level signals
Wallbang Kills
5.2%
Smoke Kills
15.5%
Ø Kill Distance
20.2m
Duel & utility signals
Opening Duel Win
26.1%
6–17 openings
Trade Kills
5
teammate deaths avenged
Clutch Win
0%
0/11 1vX won
Ø Utility Dmg
87
HE + molotov, per match
Ø Equip Value
$3,575
post-buy, per round
Full-buy Win
55.8%
rounds won on a full buy
military_tech

TeamDocks Rating

4 matches · provisional

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.

Provisional — based on only 4 analyzed matches. Firms up as more of this player's games get processed.

42
050100
Impact Rating34ADR52KAST40K/D18Headshot %27Spray Control61Counter-Strafe78Flash Quality33
Impact Rating 0.94
27% weight +9.1
ADR 76.7
14% weight +7.4
Counter-Strafe 78
10% weight +7.4
Spray Control 61.1
11% weight +7.0
KAST 64%
14% weight +5.7
K/D 0.82
11% weight +2.1
Headshot % 33.4%
8% weight +2.1
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.