76561197960664231

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
43
TeamDocks
our rating
56
Aim
leetify
46
Positioning
leetify
63
Utility
leetify
Best match
19–16 · 1.31
Inferno · peak rating
Matches analysed
7 · 0.94 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.88 · Weak
HS % 48.9% · Normal
Spray Control 61.3 · Normal
Preaim 9.5° · Weak
Counter-Strafing 76.6% · Normal
Time to Damage 634ms · Normal
CS2 Hours
2,044h
plausible
Account Age
22y
10 months
Steam Level
14
Bans
0
clean
Games
270
7,538h total
Friends
56
Country
IEIE
TeamDocks Rating
43
7 matches with us
database

TeamDocks Match Data

7 matches · our own demo analysis
Performance
TD Rating
43
our skill index
Ø Rating
0.94
Ø K/D
0.88
Ø ADR
66.5
Ø KAST
66.9%
Ø HS
48.9%
Kill-level signals
Wallbang Kills
3%
Smoke Kills
7.9%
Ø Kill Distance
15.9m
Duel & utility signals
Opening Duel Win
50%
9–9 openings
Trade Kills
25
teammate deaths avenged
Clutch Win
11.1%
2/18 1vX won
Ø Utility Dmg
59.4
HE + molotov, per match
Ø Equip Value
$3,557
post-buy, per round
Full-buy Win
55.8%
rounds won on a full buy
military_tech

TeamDocks Rating

7 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.

43
050100
Impact Rating34ADR38KAST48K/D23Headshot %58Spray Control61Counter-Strafe73Flash Quality24
Impact Rating 0.94
27% weight +9.1
Spray Control 61.3
11% weight +7.0
Counter-Strafe 73
10% weight +7.0
KAST 66.9%
14% weight +6.9
ADR 66.5
14% weight +5.4
Headshot % 48.9%
8% weight +4.4
K/D 0.88
11% weight +2.6
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.