76561197998373206

nuke
italy
cache
dust2
grail
mills
thera
train
office
anubis
basalt
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
79
Aim
leetify
48
Positioning
leetify
32
Utility
leetify
Best match
22–29 · 1.01
Anubis · peak rating
Matches analysed
2 · 0.90 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.69 · Weak
HS % 52.7% · Normal
Spray Control 51.2 · Weak
Preaim 9.8° · Weak
Counter-Strafing 78.9% · Normal
Time to Damage 564ms · Normal
CS2 Hours
1,835h
plausible
Account Age
18y
3 months
Steam Level
50
Bans
0
clean
Games
24
3,177h total
Friends
302
Country
DEDE
TeamDocks Rating
43
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
43
our skill index
Ø Rating
0.9
Ø K/D
0.69
Ø ADR
71.7
Ø KAST
71%
Ø HS
52.7%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
9.4%
Ø Kill Distance
17.3m
Duel & utility signals
Opening Duel Win
64.3%
9–5 openings
Trade Kills
2
teammate deaths avenged
Clutch Win
16.7%
1/6 1vX won
Ø Utility Dmg
20.5
HE + molotov, per match
Ø Equip Value
$3,507
post-buy, per round
Full-buy Win
50%
rounds won on a full buy
military_tech

TeamDocks Rating

2 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 2 analyzed matches. Firms up as more of this player's games get processed.

43
050100
Impact Rating30ADR45KAST60K/D7Headshot %65Spray Control51Counter-Strafe64
KAST 71%
15% weight +9.0
Impact Rating 0.9
28% weight +8.4
ADR 71.7
15% weight +6.8
Counter-Strafe 64
10% weight +6.4
Spray Control 51.2
12% weight +6.1
Headshot % 52.7%
8% weight +5.2
K/D 0.69
12% weight +0.8

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.