76561198060523538

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76561198060523538

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Trusted
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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
75
TeamDocks
our rating
52
Aim
leetify
63
Positioning
leetify
69
Utility
leetify
Best match
21–8 · 1.83
Dust2 · peak rating
Matches analysed
2 · 1.50 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.85 · Suspicious
HS % 35.7% · Weak
Spray Control 49.1 · Weak
Preaim 8.2° · Normal
Counter-Strafing 69.2% · Normal
Time to Damage 565ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
75
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
75
our skill index
Ø Rating
1.5
Ø K/D
1.85
Ø ADR
99.8
Ø KAST
77.1%
Ø HS
35.7%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
2.8%
Ø Kill Distance
14.5m
Duel & utility signals
Ø Utility Dmg
16
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,403
post-buy, per round
Full-buy Win
78.6%
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.

75
050100
Impact Rating90ADR85KAST77K/D100Headshot %31Spray Control49Counter-Strafe77Flash Quality27
Impact Rating 1.5
27% weight +24.0
ADR 99.8
14% weight +12.1
K/D 1.85
11% weight +11.4
KAST 77.1%
14% weight +11.0
Counter-Strafe 77
10% weight +7.3
Spray Control 49.1
11% weight +5.6
Headshot % 35.7%
8% weight +2.4
Flash Quality 27%
5% weight +1.3

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.