76561199261030320

nuke
cache
dust2
agency
office
anubis
mirage
warden
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
69
TeamDocks
our rating
86
Aim
leetify
52
Positioning
leetify
52
Utility
leetify
Best match
15–14 · 1.30
Dust2 · peak rating
Matches analysed
2 · 1.30 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.07 · Normal
HS % 63.3% · Slightly Sus
Spray Control 56.6 · Normal
Preaim 6.2° · Normal
Counter-Strafing 78.9% · Normal
Time to Damage 539ms · Normal
CS2 Hours
private
Account Age
4y
3 months
Steam Level
33
Bans
0
clean
Games
private
Friends
43
Country
LTLT
TeamDocks Rating
69
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
69
our skill index
Ø Rating
1.3
Ø K/D
1.07
Ø ADR
97.6
Ø KAST
79.5%
Ø HS
63.3%
Kill-level signals
Wallbang Kills
3.3%
Smoke Kills
0%
Ø Kill Distance
23m
Duel & utility signals
Ø Utility Dmg
0
HE + molotov, per match
Ø Equip Value
$3,066
post-buy, per round
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.

69
050100
Impact Rating70ADR82KAST84K/D39Headshot %87Spray Control57Counter-Strafe77Flash Quality40
Impact Rating 1.3
27% weight +18.7
KAST 79.5%
14% weight +12.0
ADR 97.6
14% weight +11.7
Counter-Strafe 77
10% weight +7.3
Headshot % 63.3%
8% weight +6.6
Spray Control 56.6
11% weight +6.5
K/D 1.07
11% weight +4.5
Flash Quality 40%
5% weight +1.9

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.