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jura
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cache
dust2
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thera
train
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office
anubis
golden
mirage
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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
62
Aim
leetify
56
Positioning
leetify
61
Utility
leetify
Best match
31–11 · 2.22
Dust2 · peak rating
Matches analysed
5 · 1.27 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.32 · Normal
HS % 49.1% · Normal
Spray Control 52.3 · Weak
Preaim 6.9° · Normal
Counter-Strafing 63.8% · Weak
Time to Damage 491ms · Normal
CS2 Hours
5,020h
plausible
Account Age
3y
10 months
Steam Level
16
Bans
0
clean
Games
13
5,374h total
Friends
339
Country
LTLT
TeamDocks Rating
63
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.27
Ø K/D
1.32
Ø ADR
94.9
Ø KAST
71.4%
Ø HS
49.1%
Kill-level signals
Wallbang Kills
8.3%
Smoke Kills
16.7%
Ø Kill Distance
18.9m
Duel & utility signals
Opening Duel Win
71.4%
10–4 openings
Trade Kills
10
teammate deaths avenged
Clutch Win
14.3%
1/7 1vX won
Ø Utility Dmg
63.8
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,652
post-buy, per round
Full-buy Win
60%
rounds won on a full buy
military_tech

TeamDocks Rating

5 matches · medium 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.

63
050100
Impact Rating67ADR78KAST61K/D60Headshot %58Spray Control52Counter-Strafe66Flash Quality33
Impact Rating 1.27
27% weight +17.9
ADR 94.9
14% weight +11.1
KAST 71.4%
14% weight +8.7
K/D 1.32
11% weight +6.9
Counter-Strafe 66
10% weight +6.3
Spray Control 52.3
11% weight +5.9
Headshot % 49.1%
8% weight +4.4
Flash Quality 33%
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.