76561198068063149

edin
jura
nuke
italy
cache
dust2
grail
mills
thera
train
agency
alpine
office
anubis
mirage
shelter
ancient
boulder
inferno
palacio
vertigo
fachwerk
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
41
TeamDocks
our rating
78
Aim
leetify
46
Positioning
leetify
56
Utility
leetify
Best match
15–17 · 1.12
Mirage · peak rating
Matches analysed
2 · 0.90 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.74 · Weak
HS % 25.6% · Weak
Spray Control 59.9 · Normal
Preaim 3.9° · Suspicious
Counter-Strafing 73.2% · Normal
Time to Damage 561ms · Normal
CS2 Hours
private
Account Age
14y
0 months
Steam Level
12
Bans
0
clean
Games
private
Friends
private
Country
FIFI
TeamDocks Rating
41
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
41
our skill index
Ø Rating
0.9
Ø K/D
0.74
Ø ADR
67.5
Ø KAST
71.9%
Ø HS
25.6%
Kill-level signals
Wallbang Kills
4.2%
Smoke Kills
20.8%
Ø Kill Distance
17.7m
Duel & utility signals
Ø Utility Dmg
81.5
HE + molotov, per match
Ø Equip Value
$4,383
post-buy, per round
Full-buy Win
40%
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.

41
050100
Impact Rating30ADR39KAST63K/D12Headshot %11Spray Control60Counter-Strafe79Flash Quality30
KAST 71.9%
14% weight +9.0
Impact Rating 0.9
27% weight +8.0
Counter-Strafe 79
10% weight +7.5
Spray Control 59.9
11% weight +6.9
ADR 67.5
14% weight +5.6
K/D 0.74
11% weight +1.4
Flash Quality 30%
5% weight +1.4
Headshot % 25.6%
8% weight +0.8

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.