76561199389832852

nuke
cache
dust2
train
agency
office
anubis
mirage
warden
shelter
ancient
inferno
palacio
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
35
TeamDocks
our rating
45
Aim
leetify
49
Positioning
leetify
54
Utility
leetify
Best match
16–16 · 1.09
Ancient · peak rating
Matches analysed
3 · 0.77 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.65 · Weak
HS % 54.6% · Normal
Spray Control 55.2 · Normal
Preaim 5.7° · Normal
Counter-Strafing 61.8% · Weak
Time to Damage 571ms · Normal
CS2 Hours
private
Account Age
3y
10 months
Steam Level
13
Bans
0
clean
Games
private
Friends
58
Country
GBGB
most common in friends list
TeamDocks Rating
35
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
35
our skill index
Ø Rating
0.77
Ø K/D
0.65
Ø ADR
67.1
Ø KAST
65.4%
Ø HS
54.6%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
9.4%
Ø Kill Distance
14.6m
Duel & utility signals
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
50.7
HE + molotov, per match
Ø Equip Value
$3,994
post-buy, per round
Full-buy Win
50%
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.

35
050100
Impact Rating17ADR39KAST44K/D4Headshot %69Spray Control55Counter-Strafe57Flash Quality35
KAST 65.4%
14% weight +6.3
Spray Control 55.2
11% weight +6.3
ADR 67.1
14% weight +5.6
Counter-Strafe 57
10% weight +5.4
Headshot % 54.6%
8% weight +5.3
Impact Rating 0.77
27% weight +4.5
Flash Quality 35%
5% weight +1.7
K/D 0.65
11% weight +0.5

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.