76561199234430591

edin
nuke
italy
cache
dust2
mills
thera
train
alpine
office
anubis
basalt
golden
mirage
ancient
boulder
inferno
vertigo
fachwerk
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
46
TeamDocks
our rating
77
Aim
leetify
43
Positioning
leetify
65
Utility
leetify
Best match
17–14 · 1.20
Dust2 · peak rating
Matches analysed
5 · 1.01 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.88 · Weak
HS % 30.9% · Weak
Spray Control 58.3 · Normal
Preaim 8.0° · Normal
Counter-Strafing 83.4% · Normal
Time to Damage 619ms · Normal
CS2 Hours
private
Account Age
4y
6 months
Steam Level
10
Bans
0
clean
Games
private
Friends
private
Country
FIFI
TeamDocks Rating
46
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
46
our skill index
Ø Rating
1.01
Ø K/D
0.88
Ø ADR
78.2
Ø KAST
68%
Ø HS
30.9%
Kill-level signals
Wallbang Kills
2.7%
Smoke Kills
2.7%
Ø Kill Distance
18.5m
Duel & utility signals
Opening Duel Win
41.7%
5–7 openings
Trade Kills
6
teammate deaths avenged
Ø Utility Dmg
31.2
HE + molotov, per match
Ø Equip Value
$3,460
post-buy, per round
Full-buy Win
48%
rounds won on a full buy
military_tech

TeamDocks Rating

5 matches · medium confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

46
050100
Impact Rating41ADR55KAST51K/D23Headshot %22Spray Control58Counter-Strafe79Flash Quality32
Impact Rating 1.01
27% weight +10.9
ADR 78.2
14% weight +7.9
Counter-Strafe 79
10% weight +7.5
KAST 68%
14% weight +7.3
Spray Control 58.3
11% weight +6.6
K/D 0.88
11% weight +2.6
Headshot % 30.9%
8% weight +1.7
Flash Quality 32%
5% weight +1.5

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.