76561199227631267

edin
jura
nuke
cache
dust2
grail
train
agency
alpine
office
anubis
basalt
golden
mirage
warden
shelter
ancient
inferno
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
68
TeamDocks
our rating
58
Aim
leetify
58
Positioning
leetify
69
Utility
leetify
Best match
19–12 · 1.46
Dust2 · peak rating
Matches analysed
2 · 1.26 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.27 · Normal
HS % 65.8% · Slightly Sus
Spray Control 56.4 · Normal
Preaim 7.1° · Normal
Counter-Strafing 78.7% · Normal
Time to Damage 648ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
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
1.26
Ø K/D
1.27
Ø ADR
81.6
Ø KAST
78.8%
Ø HS
65.8%
Kill-level signals
Wallbang Kills
2.6%
Smoke Kills
7.9%
Ø Kill Distance
18.2m
Duel & utility signals
Ø Utility Dmg
32.5
HE + molotov, per match
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 Rating66ADR59KAST82K/D56Headshot %92Spray Control56Counter-Strafe75Flash Quality60
Impact Rating 1.26
27% weight +17.6
KAST 78.8%
14% weight +11.7
ADR 81.6
14% weight +8.4
Counter-Strafe 75
10% weight +7.1
Headshot % 65.8%
8% weight +7.0
K/D 1.27
11% weight +6.4
Spray Control 56.4
11% weight +6.4
Flash Quality 60%
5% weight +2.9

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.