76561198182482874

nuke
cache
dust2
train
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
57
TeamDocks
our rating
80
Aim
leetify
48
Positioning
leetify
73
Utility
leetify
Best match
18–13 · 1.28
Inferno · peak rating
Matches analysed
6 · 1.06 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.55 · Slightly Sus
HS % 48.9% · Normal
Spray Control 54.1 · Weak
Preaim 9.0° · Normal
Counter-Strafing 83.5% · Normal
Time to Damage 616ms · Normal
CS2 Hours
private
Account Age
11y
5 months
Steam Level
45
Bans
0
clean
Games
private
Friends
27
Country
MQMQ
TeamDocks Rating
57
6 matches with us
database

TeamDocks Match Data

6 matches · our own demo analysis
Performance
TD Rating
57
our skill index
Ø Rating
1.06
Ø K/D
1.55
Ø ADR
65.7
Ø KAST
75.4%
Ø HS
48.9%
Kill-level signals
Wallbang Kills
1.4%
Smoke Kills
2.8%
Ø Kill Distance
18.5m
Duel & utility signals
Opening Duel Win
38.5%
5–8 openings
Trade Kills
4
teammate deaths avenged
Clutch Win
28.6%
4/14 1vX won
Ø Utility Dmg
93
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,947
post-buy, per round
Full-buy Win
60.5%
rounds won on a full buy
military_tech

TeamDocks Rating

6 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.

57
050100
Impact Rating46ADR37KAST73K/D79Headshot %58Spray Control54Counter-Strafe80Flash Quality36
Impact Rating 1.06
27% weight +12.3
KAST 75.4%
14% weight +10.4
K/D 1.55
11% weight +9.0
Counter-Strafe 80
10% weight +7.6
Spray Control 54.1
11% weight +6.2
ADR 65.7
14% weight +5.3
Headshot % 48.9%
8% weight +4.4
Flash Quality 36%
5% weight +1.7

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.