76561198269289553

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76561198269289553

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
31
TeamDocks
our rating
76
Aim
leetify
29
Positioning
leetify
32
Utility
leetify
Best match
23–19 · 1.27
Train · peak rating
Matches analysed
4 · 0.76 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.67 · Weak
HS % 40.9% · Normal
Spray Control 63.6 · Normal
Preaim 8.5° · Normal
Counter-Strafing 84.3% · Normal
Time to Damage 563ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
31
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
31
our skill index
Ø Rating
0.76
Ø K/D
0.67
Ø ADR
60.8
Ø KAST
61.5%
Ø HS
40.9%
Kill-level signals
Wallbang Kills
7%
Smoke Kills
0%
Ø Kill Distance
16.1m
Duel & utility signals
Ø Utility Dmg
11.8
HE + molotov, per match
Ø Equip Value
$3,378
post-buy, per round
Full-buy Win
60%
rounds won on a full buy
military_tech

TeamDocks Rating

4 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 4 analyzed matches. Firms up as more of this player's games get processed.

31
050100
Impact Rating16ADR30KAST33K/D6Headshot %42Spray Control64Counter-Strafe62Flash Quality10
Spray Control 63.6
11% weight +7.3
Counter-Strafe 62
10% weight +5.9
KAST 61.5%
14% weight +4.7
Impact Rating 0.76
27% weight +4.3
ADR 60.8
14% weight +4.3
Headshot % 40.9%
8% weight +3.2
K/D 0.67
11% weight +0.7
Flash Quality 10%
5% 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.