76561198066118474

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
62
TeamDocks
our rating
78
Aim
leetify
54
Positioning
leetify
58
Utility
leetify
Best match
23–6 · 1.95
Nuke · peak rating
Matches analysed
4 · 1.22 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.65 · Slightly Sus
HS % 36.5% · Weak
Spray Control 69.9 · Normal
Preaim 13.5° · Weak
Counter-Strafing 79.6% · Normal
Time to Damage 591ms · Normal
CS2 Hours
6,063h
plausible
Account Age
14y
1 months
Steam Level
20
Bans
0
clean
Games
77
12,870h total
Friends
197
Country
BEBE
TeamDocks Rating
62
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
62
our skill index
Ø Rating
1.22
Ø K/D
1.65
Ø ADR
72.3
Ø KAST
76.1%
Ø HS
36.5%
Kill-level signals
Wallbang Kills
3.2%
Smoke Kills
7.9%
Ø Kill Distance
17.4m
Duel & utility signals
Opening Duel Win
70%
7–3 openings
Trade Kills
17
teammate deaths avenged
Ø Utility Dmg
50.5
HE + molotov, per match
Ø Equip Value
$3,611
post-buy, per round
Full-buy Win
63.6%
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.

62
050100
Impact Rating62ADR46KAST75K/D87Headshot %33Spray Control70Counter-Strafe74Flash Quality10
Impact Rating 1.22
27% weight +16.5
KAST 76.1%
14% weight +10.7
K/D 1.65
11% weight +9.9
Spray Control 69.9
11% weight +8.0
Counter-Strafe 74
10% weight +7.0
ADR 72.3
14% weight +6.6
Headshot % 36.5%
8% weight +2.5
Flash Quality 10%
5% weight +0.5

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.