76561199400949490

edin
nuke
italy
cache
dust2
train
alpine
office
anubis
mirage
warden
shelter
ancient
boulder
inferno
vertigo
fachwerk
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
36
TeamDocks
our rating
17
Aim
leetify
36
Positioning
leetify
40
Utility
leetify
Best match
24–17 · 1.46
Ancient · peak rating
Matches analysed
3 · 0.89 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.83 · Weak
HS % 14.5% · Weak
Spray Control 58.7 · Normal
Preaim 13.0° · Weak
Counter-Strafing 57.4% · Weak
Time to Damage 696ms · Weak
CS2 Hours
1,966h
plausible
Account Age
3y
10 months
Steam Level
67
Bans
0
clean
Games
38
2,535h total
Friends
private
Country
DEDE
TeamDocks Rating
36
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
36
our skill index
Ø Rating
0.89
Ø K/D
0.83
Ø ADR
62.6
Ø KAST
67.5%
Ø HS
14.5%
Kill-level signals
Wallbang Kills
2.3%
Smoke Kills
2.3%
Ø Kill Distance
17.3m
Duel & utility signals
Clutch Win
12.5%
1/8 1vX won
Ø Utility Dmg
2.7
HE + molotov, per match
Ø Equip Value
$2,944
post-buy, per round
Full-buy Win
35%
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.

36
050100
Impact Rating29ADR32KAST50K/D19Headshot %0Spray Control59Counter-Strafe73Flash Quality9
Impact Rating 0.89
27% weight +7.7
KAST 67.5%
14% weight +7.1
Counter-Strafe 73
10% weight +7.0
Spray Control 58.7
11% weight +6.7
ADR 62.6
14% weight +4.6
K/D 0.83
11% weight +2.2
Flash Quality 9%
5% weight +0.4
Headshot % 14.5%
8% weight +0.0

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.