76561198011691045

jura
nuke
italy
cache
dust2
train
office
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
43
TeamDocks
our rating
29
Aim
leetify
35
Positioning
leetify
56
Utility
leetify
Best match
13–11 · 1.34
Ancient · peak rating
Matches analysed
5 · 0.95 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.80 · Weak
HS % 36.4% · Weak
Spray Control 48.5 · Weak
Preaim 6.9° · Normal
Counter-Strafing 61.7% · Weak
Time to Damage 639ms · Normal
CS2 Hours
1,716h
plausible
Account Age
17y
0 months
Steam Level
31
Bans
0
clean
Games
217
8,872h total
Friends
71
Country
DKDK
most common in friends list
TeamDocks Rating
43
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
43
our skill index
Ø Rating
0.95
Ø K/D
0.8
Ø ADR
70.7
Ø KAST
73.3%
Ø HS
36.4%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
8.3%
Ø Kill Distance
17.3m
Duel & utility signals
Ø Utility Dmg
63.2
HE + molotov, per match
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.

43
050100
Impact Rating35ADR44KAST67K/D17Headshot %33Spray Control49Counter-Strafe70Flash Quality24
KAST 73.3%
14% weight +9.6
Impact Rating 0.95
27% weight +9.3
Counter-Strafe 70
10% weight +6.7
ADR 70.7
14% weight +6.3
Spray Control 48.5
11% weight +5.6
Headshot % 36.4%
8% weight +2.5
K/D 0.8
11% weight +1.9
Flash Quality 24%
5% weight +1.1

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.