76561198139498296

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
40
TeamDocks
our rating
75
Aim
leetify
43
Positioning
leetify
54
Utility
leetify
Best match
21–17 · 1.26
Anubis · peak rating
Matches analysed
3 · 0.90 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.85 · Weak
HS % 52.3% · Normal
Spray Control 62.2 · Normal
Preaim 10.4° · Weak
Counter-Strafing 85.4% · Normal
Time to Damage 683ms · Weak
CS2 Hours
private
Account Age
12y
1 months
Steam Level
41
Bans
0
clean
Games
private
Friends
private
Country
JPJP
TeamDocks Rating
40
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
40
our skill index
Ø Rating
0.9
Ø K/D
0.85
Ø ADR
64.9
Ø KAST
64.3%
Ø HS
52.3%
Kill-level signals
Wallbang Kills
4.1%
Smoke Kills
6.1%
Ø Kill Distance
16.2m
Duel & utility signals
Opening Duel Win
53.8%
7–6 openings
Trade Kills
8
teammate deaths avenged
Clutch Win
16.7%
1/6 1vX won
Ø Utility Dmg
48.7
HE + molotov, per match
Ø Equip Value
$3,255
post-buy, per round
Full-buy Win
45.2%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

40
050100
Impact Rating30ADR36KAST41K/D21Headshot %65Spray Control62Counter-Strafe71Flash Quality0
Impact Rating 0.9
27% weight +8.0
Spray Control 62.2
11% weight +7.1
Counter-Strafe 71
10% weight +6.8
KAST 64.3%
14% weight +5.9
ADR 64.9
14% weight +5.1
Headshot % 52.3%
8% weight +5.0
K/D 0.85
11% weight +2.4
Flash Quality 0%
5% weight +0.0

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.