76561199338488771

edin
nuke
cache
dust2
mirage
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
80
TeamDocks
our rating
59
Aim
leetify
46
Positioning
leetify
58
Utility
leetify
Best match
15–7 · 1.54
Inferno · peak rating
Matches analysed
2 · 1.51 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 2.00 · Suspicious
HS % 49.2% · Normal
Spray Control 62.2 · Normal
Preaim 5.4° · Slightly Sus
Counter-Strafing 76.9% · Normal
Time to Damage 643ms · Weak
CS2 Hours
private
Account Age
4y
1 months
Steam Level
5
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
80
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
80
our skill index
Ø Rating
1.51
Ø K/D
2
Ø ADR
95.6
Ø KAST
81.1%
Ø HS
49.2%
Kill-level signals
Wallbang Kills
3.6%
Smoke Kills
0%
Ø Kill Distance
20.2m
Duel & utility signals
Ø Utility Dmg
37
HE + molotov, per match
Ø Equip Value
$4,897
post-buy, per round
Full-buy Win
83.3%
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.

80
050100
Impact Rating91ADR79KAST89K/D100Headshot %58Spray Control62Counter-Strafe74Flash Quality29
Impact Rating 1.51
27% weight +24.3
KAST 81.1%
14% weight +12.7
K/D 2
11% weight +11.4
ADR 95.6
14% weight +11.3
Spray Control 62.2
11% weight +7.1
Counter-Strafe 74
10% weight +7.0
Headshot % 49.2%
8% weight +4.4
Flash Quality 29%
5% weight +1.4

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.