76561198085352587

nuke
cache
dust2
train
alpine
anubis
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
47
TeamDocks
our rating
59
Aim
leetify
44
Positioning
leetify
45
Utility
leetify
Best match
20–17 · 1.23
Anubis · peak rating
Matches analysed
2 · 0.99 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.90 · Weak
HS % 45.0% · Normal
Spray Control 66.6 · Normal
Preaim 6.1° · Normal
Counter-Strafing 80.3% · Normal
Time to Damage 690ms · Weak
CS2 Hours
1,926h
plausible
Account Age
13y
5 months
Steam Level
73
Bans
0
clean
Games
114
3,848h total
Friends
private
Country
DEDE
TeamDocks Rating
47
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
47
our skill index
Ø Rating
0.99
Ø K/D
0.9
Ø ADR
86.1
Ø KAST
62.5%
Ø HS
45%
Kill-level signals
Wallbang Kills
3.1%
Smoke Kills
6.3%
Ø Kill Distance
19.1m
Duel & utility signals
Ø Utility Dmg
43.5
HE + molotov, per match
Ø Equip Value
$2,810
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.

47
050100
Impact Rating39ADR66KAST36K/D25Headshot %50Spray Control67Counter-Strafe75Flash Quality22
Impact Rating 0.99
27% weight +10.4
ADR 86.1
14% weight +9.4
Spray Control 66.6
11% weight +7.7
Counter-Strafe 75
10% weight +7.1
KAST 62.5%
14% weight +5.1
Headshot % 45%
8% weight +3.8
K/D 0.9
11% weight +2.9
Flash Quality 22%
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.