76561198167657532

jura
nuke
dust2
grail
train
anubis
mirage
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
48
TeamDocks
our rating
59
Aim
leetify
49
Positioning
leetify
33
Utility
leetify
Best match
12–9 · 1.36
Mirage · peak rating
Matches analysed
11 · 1.02 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.93 · Normal
HS % 47.5% · Normal
Spray Control 57.8 · Normal
Preaim 8.4° · Normal
Counter-Strafing 67.6% · Normal
Time to Damage 678ms · Weak
CS2 Hours
4,006h
plausible
Account Age
11y
7 months
Steam Level
52
Bans
0
clean
Games
224
7,977h total
Friends
357
Country
SESE
TeamDocks Rating
48
11 matches with us
database

TeamDocks Match Data

11 matches · our own demo analysis
Performance
TD Rating
48
our skill index
Ø Rating
1.02
Ø K/D
0.93
Ø ADR
73.7
Ø KAST
68.8%
Ø HS
47.5%
Kill-level signals
Wallbang Kills
3.1%
Smoke Kills
3.7%
Ø Kill Distance
16.8m
Duel & utility signals
Opening Duel Win
45.5%
25–30 openings
Trade Kills
32
teammate deaths avenged
Clutch Win
38.5%
5/13 1vX won
Ø Utility Dmg
50.1
HE + molotov, per match
Ø Equip Value
$3,702
post-buy, per round
Full-buy Win
55.5%
rounds won on a full buy
military_tech

TeamDocks Rating

11 matches · high 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.

48
050100
Impact Rating42ADR48KAST54K/D28Headshot %55Spray Control58Counter-Strafe76Flash Quality24
Impact Rating 1.02
27% weight +11.2
KAST 68.8%
14% weight +7.7
Counter-Strafe 76
10% weight +7.2
ADR 73.7
14% weight +6.9
Spray Control 57.8
11% weight +6.6
Headshot % 47.5%
8% weight +4.2
K/D 0.93
11% weight +3.2
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.