76561199385679379

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
69
TeamDocks
our rating
67
Aim
leetify
48
Positioning
leetify
66
Utility
leetify
Best match
26–13 · 1.85
Anubis · peak rating
Matches analysed
2 · 1.38 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.38 · Normal
HS % 40.1% · Normal
Spray Control 54.6 · Weak
Preaim 8.0° · Normal
Counter-Strafing 69.4% · Normal
Time to Damage 546ms · Normal
CS2 Hours
2,013h
plausible
Account Age
3y
11 months
Steam Level
12
Bans
0
clean
Games
23
2,076h total
Friends
private
Country
CZCZ
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
1.38
Ø K/D
1.38
Ø ADR
104.8
Ø KAST
76%
Ø HS
40.1%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
5.3%
Ø Kill Distance
17m
Duel & utility signals
Ø Utility Dmg
37.5
HE + molotov, per match
Ø Equip Value
$3,431
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 Rating78ADR93KAST74K/D65Headshot %40Spray Control55Counter-Strafe66Flash Quality20
Impact Rating 1.38
27% weight +20.8
ADR 104.8
14% weight +13.3
KAST 76%
14% weight +10.6
K/D 1.38
11% weight +7.4
Spray Control 54.6
11% weight +6.3
Counter-Strafe 66
10% weight +6.3
Headshot % 40.1%
8% weight +3.0
Flash Quality 20%
5% weight +1.0

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.