76561198054497185

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
45
TeamDocks
our rating
52
Aim
leetify
42
Positioning
leetify
73
Utility
leetify
Best match
13–14 · 0.97
Inferno · peak rating
Matches analysed
2 · 0.96 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.87 · Weak
HS % 42.3% · Normal
Spray Control 62.6 · Normal
Preaim 5.3° · Slightly Sus
Counter-Strafing 74.6% · Normal
Time to Damage 636ms · Normal
CS2 Hours
1,653h
plausible
Account Age
14y
7 months
Steam Level
47
Bans
0
clean
Games
328
3,885h total
Friends
private
Country
unknown
TeamDocks Rating
45
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
45
our skill index
Ø Rating
0.96
Ø K/D
0.87
Ø ADR
68
Ø KAST
69.5%
Ø HS
42.3%
Kill-level signals
Wallbang Kills
3.8%
Smoke Kills
7.7%
Ø Kill Distance
22.9m
Duel & utility signals
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
31
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,713
post-buy, per round
Full-buy Win
50%
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.

45
050100
Impact Rating36ADR40KAST56K/D23Headshot %45Spray Control63Counter-Strafe70Flash Quality39
Impact Rating 0.96
27% weight +9.6
KAST 69.5%
14% weight +8.0
Spray Control 62.6
11% weight +7.2
Counter-Strafe 70
10% weight +6.7
ADR 68
14% weight +5.7
Headshot % 42.3%
8% weight +3.4
K/D 0.87
11% weight +2.6
Flash Quality 39%
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.