76561198050027489

edin
nuke
cache
dust2
train
anubis
mirage
ancient
inferno
palacio
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
34
TeamDocks
our rating
56
Aim
leetify
36
Positioning
leetify
40
Utility
leetify
Best match
10–17 · 0.78
Overpass · peak rating
Matches analysed
4 · 0.69 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.60 · Weak
HS % 75.8% · Suspicious
Spray Control 61.9 · Normal
Preaim 9.8° · Weak
Counter-Strafing 84.0% · Normal
Time to Damage 627ms · Normal
CS2 Hours
private
Account Age
14y
9 months
Steam Level
19
Bans
0
clean
Games
private
Friends
private
Country
GBGB
TeamDocks Rating
34
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
34
our skill index
Ø Rating
0.69
Ø K/D
0.6
Ø ADR
59.7
Ø KAST
59.8%
Ø HS
75.8%
Kill-level signals
Wallbang Kills
4.9%
Smoke Kills
12.2%
Ø Kill Distance
17.2m
Duel & utility signals
Opening Duel Win
25%
3–9 openings
Trade Kills
4
teammate deaths avenged
Ø Utility Dmg
17.5
HE + molotov, per match
Ø Equip Value
$3,248
post-buy, per round
Full-buy Win
64.3%
rounds won on a full buy
military_tech

TeamDocks Rating

4 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 4 analyzed matches. Firms up as more of this player's games get processed.

34
050100
Impact Rating9ADR28KAST28K/D0Headshot %100Spray Control62Counter-Strafe85Flash Quality18
Counter-Strafe 85
10% weight +8.1
Headshot % 75.8%
8% weight +7.6
Spray Control 61.9
11% weight +7.1
ADR 59.7
14% weight +4.0
KAST 59.8%
14% weight +4.0
Impact Rating 0.69
27% weight +2.4
Flash Quality 18%
5% weight +0.9
K/D 0.6
11% 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.