76561197995388177

edin
nuke
italy
cache
dust2
grail
thera
train
agency
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
69
TeamDocks
our rating
85
Aim
leetify
56
Positioning
leetify
77
Utility
leetify
Best match
24–14 · 1.70
Ancient · peak rating
Matches analysed
2 · 1.35 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.52 · Slightly Sus
HS % 41.7% · Normal
Spray Control 62.8 · Normal
Preaim 14.6° · Weak
Counter-Strafing 76.0% · Normal
Time to Damage 540ms · Normal
CS2 Hours
private
Account Age
18y
7 months
Steam Level
159
Bans
0
clean
Games
private
Friends
private
Country
NONO
TeamDocks Rating
69
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
69
our skill index
Ø Rating
1.35
Ø K/D
1.52
Ø ADR
85.2
Ø KAST
80.1%
Ø HS
41.7%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
6.3%
Ø Kill Distance
14.7m
Duel & utility signals
Clutch Win
14.3%
1/7 1vX won
Ø Utility Dmg
41
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,998
post-buy, per round
Full-buy Win
74.1%
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.

69
050100
Impact Rating75ADR65KAST86K/D77Headshot %43Spray Control63Counter-Strafe61Flash Quality43
Impact Rating 1.35
27% weight +20.0
KAST 80.1%
14% weight +12.3
ADR 85.2
14% weight +9.3
K/D 1.52
11% weight +8.8
Spray Control 62.8
11% weight +7.2
Counter-Strafe 61
10% weight +5.8
Headshot % 41.7%
8% weight +3.3
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.