76561197995958566

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
68
TeamDocks
our rating
65
Aim
leetify
51
Positioning
leetify
73
Utility
leetify
Best match
20–14 · 1.33
Overpass · peak rating
Matches analysed
2 · 1.32 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.40 · Normal
HS % 57.5% · Normal
Spray Control 62.1 · Normal
Preaim 6.0° · Normal
Counter-Strafing 71.7% · Normal
Time to Damage 556ms · Normal
CS2 Hours
4,363h
plausible
Account Age
18y
6 months
Steam Level
14
Bans
0
clean
Games
75
12,268h total
Friends
144
Country
DKDK
TeamDocks Rating
68
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
68
our skill index
Ø Rating
1.32
Ø K/D
1.4
Ø ADR
90.2
Ø KAST
74.3%
Ø HS
57.5%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
8.6%
Ø Kill Distance
14.4m
Duel & utility signals
Clutch Win
0%
0/6 1vX won
Ø Utility Dmg
105.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,050
post-buy, per round
Full-buy Win
61.5%
rounds won on a full buy
military_tech

TeamDocks Rating

2 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 2 analyzed matches. Firms up as more of this player's games get processed.

68
050100
Impact Rating72ADR72KAST69K/D67Headshot %75Spray Control62Counter-Strafe77Flash Quality20
Impact Rating 1.32
27% weight +19.2
ADR 90.2
14% weight +10.3
KAST 74.3%
14% weight +9.9
K/D 1.4
11% weight +7.7
Counter-Strafe 77
10% weight +7.3
Spray Control 62.1
11% weight +7.1
Headshot % 57.5%
8% weight +5.7
Flash Quality 20%
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.