76561198114223758

nuke
italy
cache
dust2
train
alpine
office
anubis
mirage
warden
shelter
ancient
boulder
inferno
vertigo
fachwerk
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
42
TeamDocks
our rating
77
Aim
leetify
44
Positioning
leetify
60
Utility
leetify
Best match
16–18 · 1.09
Dust2 · peak rating
Matches analysed
2 · 0.86 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.64 · Weak
HS % 30.2% · Weak
Spray Control 67.5 · Normal
Preaim 4.3° · Slightly Sus
Counter-Strafing 80.8% · Normal
Time to Damage 601ms · Normal
CS2 Hours
private
Account Age
12y
8 months
Steam Level
90
Bans
0
clean
Games
private
Friends
private
Country
USUS
TeamDocks Rating
42
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
42
our skill index
Ø Rating
0.86
Ø K/D
0.64
Ø ADR
69.7
Ø KAST
71.7%
Ø HS
30.2%
Kill-level signals
Wallbang Kills
9.1%
Smoke Kills
4.5%
Ø Kill Distance
29.4m
Duel & utility signals
Ø Utility Dmg
34.5
HE + molotov, per match
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.

42
050100
Impact Rating26ADR42KAST62K/D3Headshot %20Spray Control68Counter-Strafe93Flash Quality45
KAST 71.7%
14% weight +8.9
Counter-Strafe 93
10% weight +8.9
Spray Control 67.5
11% weight +7.8
Impact Rating 0.86
27% weight +6.9
ADR 69.7
14% weight +6.0
Flash Quality 45%
5% weight +2.1
Headshot % 30.2%
8% weight +1.5
K/D 0.64
11% weight +0.3

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.