76561197998233797

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
84
Aim
leetify
63
Positioning
leetify
69
Utility
leetify
Best match
23–13 · 1.49
Anubis · peak rating
Matches analysed
9 · 1.20 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.21 · Normal
HS % 70.4% · Suspicious
Spray Control 63.1 · Normal
Preaim 8.5° · Normal
Counter-Strafing 82.6% · Normal
Time to Damage 592ms · Normal
CS2 Hours
5,391h
plausible
Account Age
18y
3 months
Steam Level
23
Bans
0
clean
Games
63
8,318h total
Friends
164
Country
JMJM
TeamDocks Rating
63
9 matches with us
database

TeamDocks Match Data

9 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.2
Ø K/D
1.21
Ø ADR
80.6
Ø KAST
71.7%
Ø HS
70.4%
Kill-level signals
Wallbang Kills
3.8%
Smoke Kills
3.8%
Ø Kill Distance
19.2m
Duel & utility signals
Opening Duel Win
64.6%
31–17 openings
Trade Kills
27
teammate deaths avenged
Clutch Win
22.7%
5/22 1vX won
Ø Utility Dmg
16.2
HE + molotov, per match
Ø Equip Value
$3,821
post-buy, per round
Full-buy Win
54%
rounds won on a full buy
military_tech

TeamDocks Rating

9 matches · medium confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

63
050100
Impact Rating60ADR58KAST62K/D51Headshot %100Spray Control63Counter-Strafe81Flash Quality34
Impact Rating 1.2
27% weight +16.0
KAST 71.7%
14% weight +8.9
ADR 80.6
14% weight +8.3
Counter-Strafe 81
10% weight +7.7
Headshot % 70.4%
8% weight +7.6
Spray Control 63.1
11% weight +7.2
K/D 1.21
11% weight +5.8
Flash Quality 34%
5% weight +1.6

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.