76561199400288247

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
80
TeamDocks
our rating
68
Aim
leetify
52
Positioning
leetify
71
Utility
leetify
Best match
16–9 · 1.58
Overpass · peak rating
Matches analysed
2 · 1.48 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.48 · Normal
HS % 59.7% · Slightly Sus
Spray Control 52.7 · Weak
Preaim 9.6° · Weak
Counter-Strafing 82.1% · Normal
Time to Damage 604ms · Normal
CS2 Hours
private
Account Age
3y
10 months
Steam Level
20
Bans
0
clean
Games
private
Friends
75
Country
PSPS
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
1.48
Ø K/D
1.48
Ø ADR
101.2
Ø KAST
84.7%
Ø HS
59.7%
Kill-level signals
Wallbang Kills
5.7%
Smoke Kills
2.9%
Ø Kill Distance
20.9m
Duel & utility signals
Ø Utility Dmg
129.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,823
post-buy, per round
Full-buy Win
42.9%
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 Rating88ADR87KAST99K/D73Headshot %79Spray Control53Counter-Strafe81Flash Quality43
Impact Rating 1.48
27% weight +23.5
KAST 84.7%
14% weight +14.1
ADR 101.2
14% weight +12.4
K/D 1.48
11% weight +8.3
Counter-Strafe 81
10% weight +7.7
Spray Control 52.7
11% weight +6.1
Headshot % 59.7%
8% weight +6.0
Flash Quality 43%
5% weight +2.0

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.