76561198169798103

edin
nuke
italy
cache
dust2
mills
thera
train
alpine
office
anubis
basalt
golden
mirage
ancient
inferno
palacio
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
71
TeamDocks
our rating
72
Aim
leetify
34
Positioning
leetify
63
Utility
leetify
Best match
31–18 · 1.68
Dust2 · peak rating
Matches analysed
3 · 1.34 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.30 · Normal
HS % 52.7% · Normal
Spray Control 68.4 · Normal
Preaim 7.5° · Normal
Counter-Strafing 79.4% · Normal
Time to Damage 646ms · Weak
CS2 Hours
private
Account Age
11y
7 months
Steam Level
36
Bans
0
clean
Games
private
Friends
76
Country
DEDE
most common in friends list
TeamDocks Rating
71
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
71
our skill index
Ø Rating
1.34
Ø K/D
1.3
Ø ADR
89.5
Ø KAST
79.9%
Ø HS
52.7%
Kill-level signals
Wallbang Kills
1.6%
Smoke Kills
12.5%
Ø Kill Distance
17.2m
Duel & utility signals
Ø Utility Dmg
74.3
HE + molotov, per match
Ø Equip Value
$4,061
post-buy, per round
Full-buy Win
66.7%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

71
050100
Impact Rating74ADR71KAST85K/D58Headshot %65Spray Control68Counter-Strafe80Flash Quality33
Impact Rating 1.34
27% weight +19.7
KAST 79.9%
14% weight +12.1
ADR 89.5
14% weight +10.1
Spray Control 68.4
11% weight +7.8
Counter-Strafe 80
10% weight +7.6
K/D 1.3
11% weight +6.6
Headshot % 52.7%
8% weight +5.0
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.