Old Assholes AƨƨMole

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76561198174553378

nuke
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anubis
basalt
mirage
ancient
inferno
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Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
37
TeamDocks
our rating
30
Aim
leetify
49
Positioning
leetify
41
Utility
leetify
Best match
11–11 · 1.11
Ancient · peak rating
Matches analysed
4 · 0.90 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.78 · Weak
HS % 34.9% · Weak
Spray Control 44.3 · Weak
Preaim 10.4° · Weak
Counter-Strafing 66.5% · Normal
Time to Damage 615ms · Normal
CS2 Hours
6,712h
plausible
Account Age
11y
6 months
Steam Level
13
Bans
0
clean
Games
64
7,580h total
Friends
private
Country
unknown
TeamDocks Rating
37
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
37
our skill index
Ø Rating
0.9
Ø K/D
0.78
Ø ADR
64.3
Ø KAST
69.7%
Ø HS
34.9%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
4.3%
Ø Kill Distance
15.1m
Duel & utility signals
Opening Duel Win
47.4%
9–10 openings
Trade Kills
7
teammate deaths avenged
Clutch Win
16.7%
1/6 1vX won
Ø Utility Dmg
46.5
HE + molotov, per match
Ø Equip Value
$3,862
post-buy, per round
Full-buy Win
56%
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.

37
050100
Impact Rating30ADR35KAST56K/D15Headshot %30Spray Control44Counter-Strafe70Flash Quality8
Impact Rating 0.9
27% weight +8.0
KAST 69.7%
14% weight +8.0
Counter-Strafe 70
10% weight +6.7
ADR 64.3
14% weight +5.0
Spray Control 44.3
11% weight +5.0
Headshot % 34.9%
8% weight +2.3
K/D 0.78
11% weight +1.7
Flash Quality 8%
5% weight +0.4

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.