76561197968640425

jura
nuke
cache
dust2
grail
mills
thera
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
23
TeamDocks
our rating
85
Aim
leetify
55
Positioning
leetify
58
Utility
leetify
Best match
9–15 · 0.68
Dust2 · peak rating
Matches analysed
4 · 0.50 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.40 · Weak
HS % 37.8% · Weak
Spray Control 56.3 · Normal
Preaim 7.5° · Normal
Counter-Strafing 85.1% · Normal
Time to Damage 601ms · Normal
CS2 Hours
private
Account Age
21y
11 months
Steam Level
29
Bans
0
clean
Games
34
663h total
Friends
23
Country
TDTD
TeamDocks Rating
23
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
23
our skill index
Ø Rating
0.5
Ø K/D
0.4
Ø ADR
42.2
Ø KAST
59%
Ø HS
37.8%
Kill-level signals
Wallbang Kills
9.1%
Smoke Kills
4.5%
Ø Kill Distance
19.3m
Duel & utility signals
Clutch Win
11.1%
1/9 1vX won
Ø Utility Dmg
0
HE + molotov, per match
Flash Assists
2
enemies blinded → team frag
Ø Equip Value
$2,979
post-buy, per round
Full-buy Win
23.5%
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.

23
050100
Impact Rating0ADR3KAST26K/D0Headshot %36Spray Control56Counter-Strafe83Flash Quality35
Counter-Strafe 83
10% weight +7.9
Spray Control 56.3
11% weight +6.4
KAST 59%
14% weight +3.7
Headshot % 37.8%
8% weight +2.7
Flash Quality 35%
5% weight +1.7
ADR 42.2
14% weight +0.4
Impact Rating 0.5
27% weight +0.0
K/D 0.4
11% weight +0.0

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.