Rubber Duck 3002 "FXF"

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76561198119663982

nuke
cache
train
inferno
vertigo
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
55
TeamDocks
our rating
35
Aim
leetify
52
Positioning
leetify
72
Utility
leetify
Best match
23–15 · 1.61
Inferno · peak rating
Matches analysed
15 · 1.14 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.09 · Normal
HS % 42.4% · Normal
Spray Control 54.0 · Weak
Preaim 7.2° · Normal
Counter-Strafing 70.9% · Normal
Time to Damage 664ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
55
15 matches with us
database

TeamDocks Match Data

15 matches · our own demo analysis
Performance
TD Rating
55
our skill index
Ø Rating
1.14
Ø K/D
1.09
Ø ADR
77.8
Ø KAST
75.1%
Ø HS
42.4%
Kill-level signals
Wallbang Kills
2.1%
Smoke Kills
5.5%
Ø Kill Distance
14.2m
Duel & utility signals
Opening Duel Win
53.8%
14–12 openings
Trade Kills
13
teammate deaths avenged
Clutch Win
15.4%
2/13 1vX won
Ø Utility Dmg
74.3
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,771
post-buy, per round
Full-buy Win
59%
rounds won on a full buy
military_tech

TeamDocks Rating

15 matches · high confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

55
050100
Impact Rating54ADR54KAST72K/D41Headshot %45Spray Control54Counter-Strafe67Flash Quality34
Impact Rating 1.14
27% weight +14.4
KAST 75.1%
14% weight +10.3
ADR 77.8
14% weight +7.7
Counter-Strafe 67
10% weight +6.4
Spray Control 54
11% weight +6.2
K/D 1.09
11% weight +4.7
Headshot % 42.4%
8% weight +3.4
Flash Quality 34%
5% weight +1.6

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.