76561198063816279

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
38
TeamDocks
our rating
25
Aim
leetify
51
Positioning
leetify
50
Utility
leetify
Best match
18–18 · 1.24
Ancient · peak rating
Matches analysed
2 · 0.88 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.75 · Weak
HS % 44.2% · Normal
Spray Control 46.9 · Weak
Preaim 12.4° · Weak
Counter-Strafing 64.4% · Weak
Time to Damage 649ms · Weak
CS2 Hours
3,363h
plausible
Account Age
14y
2 months
Steam Level
33
Bans
0
clean
Games
268
8,802h total
Friends
31
Country
DEDE
most common in friends list
TeamDocks Rating
38
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
38
our skill index
Ø Rating
0.88
Ø K/D
0.75
Ø ADR
69.9
Ø KAST
67.1%
Ø HS
44.2%
Kill-level signals
Wallbang Kills
3.2%
Smoke Kills
3.2%
Ø Kill Distance
17.2m
Duel & utility signals
Ø Utility Dmg
72
HE + molotov, per match
Ø Equip Value
$3,330
post-buy, per round
Full-buy Win
58.3%
rounds won on a full buy
military_tech

TeamDocks Rating

2 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 2 analyzed matches. Firms up as more of this player's games get processed.

38
050100
Impact Rating28ADR43KAST49K/D13Headshot %48Spray Control47Counter-Strafe69Flash Quality0
Impact Rating 0.88
27% weight +7.5
KAST 67.1%
14% weight +7.0
Counter-Strafe 69
10% weight +6.6
ADR 69.9
14% weight +6.1
Spray Control 46.9
11% weight +5.4
Headshot % 44.2%
8% weight +3.7
K/D 0.75
11% weight +1.5
Flash Quality 0%
5% 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.