76561198088686277

nuke
cache
dust2
train
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
48
TeamDocks
our rating
58
Aim
leetify
36
Positioning
leetify
48
Utility
leetify
Best match
17–10 · 1.59
Mirage · peak rating
Matches analysed
18 · 1.02 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.94 · Normal
HS % 36.3% · Weak
Spray Control 57.6 · Normal
Preaim 7.0° · Normal
Counter-Strafing 71.1% · Normal
Time to Damage 598ms · Normal
CS2 Hours
private
Account Age
13y
3 months
Steam Level
13
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
48
18 matches with us
database

TeamDocks Match Data

18 matches · our own demo analysis
Performance
TD Rating
48
our skill index
Ø Rating
1.02
Ø K/D
0.94
Ø ADR
76.8
Ø KAST
68.6%
Ø HS
36.3%
Kill-level signals
Wallbang Kills
2.8%
Smoke Kills
4.8%
Ø Kill Distance
18.3m
Duel & utility signals
Opening Duel Win
41.6%
37–52 openings
Trade Kills
35
teammate deaths avenged
Clutch Win
19.4%
7/36 1vX won
Ø Utility Dmg
42.7
HE + molotov, per match
Ø Equip Value
$3,723
post-buy, per round
Full-buy Win
56.3%
rounds won on a full buy
military_tech

TeamDocks Rating

18 matches · high 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.

48
050100
Impact Rating42ADR53KAST53K/D28Headshot %33Spray Control58Counter-Strafe81Flash Quality24
Impact Rating 1.02
27% weight +11.2
Counter-Strafe 81
10% weight +7.7
ADR 76.8
14% weight +7.6
KAST 68.6%
14% weight +7.6
Spray Control 57.6
11% weight +6.6
K/D 0.94
11% weight +3.2
Headshot % 36.3%
8% weight +2.5
Flash Quality 24%
5% weight +1.1

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.