76561198045649598

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76561198045649598

edin
jura
nuke
italy
cache
dust2
grail
mills
thera
train
agency
alpine
office
anubis
basalt
golden
mirage
warden
ancient
inferno
palacio
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
29
TeamDocks
our rating
75
Aim
leetify
50
Positioning
leetify
71
Utility
leetify
Best match
8–14 · 0.69
Anubis · peak rating
Matches analysed
2 · 0.61 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.47 · Weak
HS % 45.8% · Normal
Spray Control 62.1 · Normal
Preaim 10.9° · Weak
Counter-Strafing 81.7% · Normal
Time to Damage 590ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
29
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
29
our skill index
Ø Rating
0.61
Ø K/D
0.47
Ø ADR
58.6
Ø KAST
61.8%
Ø HS
45.8%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
0%
Ø Kill Distance
13.9m
Duel & utility signals
Clutch Win
0%
0/5 1vX won
Ø Utility Dmg
74.5
HE + molotov, per match
Ø Equip Value
$3,187
post-buy, per round
Full-buy Win
31.3%
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.

29
050100
Impact Rating1ADR27KAST34K/D0Headshot %52Spray Control62Counter-Strafe80Flash Quality23
Counter-Strafe 80
10% weight +7.6
Spray Control 62.1
11% weight +7.1
KAST 61.8%
14% weight +4.9
Headshot % 45.8%
8% weight +4.0
ADR 58.6
14% weight +3.9
Flash Quality 23%
5% weight +1.1
Impact Rating 0.61
27% weight +0.3
K/D 0.47
11% 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.