76561197994127179

edin
jura
nuke
italy
cache
dust2
grail
train
anubis
basalt
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
82
TeamDocks
our rating
96
Aim
leetify
79
Positioning
leetify
67
Utility
leetify
Best match
23–14 · 1.74
Nuke · peak rating
Matches analysed
2 · 1.53 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.41 · Normal
HS % 65.8% · Slightly Sus
Spray Control 68.9 · Normal
Preaim 10.0° · Weak
Counter-Strafing 86.8% · Normal
Time to Damage 557ms · Normal
CS2 Hours
private
Account Age
18y
8 months
Steam Level
11
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
82
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
82
our skill index
Ø Rating
1.53
Ø K/D
1.41
Ø ADR
104
Ø KAST
81.8%
Ø HS
65.8%
Kill-level signals
Wallbang Kills
4.1%
Smoke Kills
10.2%
Ø Kill Distance
22.4m
Duel & utility signals
Opening Duel Win
68.8%
11–5 openings
Trade Kills
13
teammate deaths avenged
Ø Utility Dmg
0
HE + molotov, per match
Ø Equip Value
$4,308
post-buy, per round
Full-buy Win
66.7%
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.

82
050100
Impact Rating93ADR91KAST91K/D68Headshot %92Spray Control69Counter-Strafe87Flash Quality0
Impact Rating 1.53
27% weight +24.8
ADR 104
14% weight +13.0
KAST 81.8%
14% weight +13.0
Counter-Strafe 87
10% weight +8.3
Spray Control 68.9
11% weight +7.9
K/D 1.41
11% weight +7.8
Headshot % 65.8%
8% weight +7.0
Flash Quality 0%
5% weight +0.0

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.