76561197985834065

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76561197985834065

edin
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Trusted
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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
32
TeamDocks
our rating
64
Aim
leetify
44
Positioning
leetify
60
Utility
leetify
Best match
10–9 · 1.08
Inferno · peak rating
Matches analysed
2 · 0.74 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.73 · Weak
HS % 50.0% · Normal
Spray Control 58.8 · Normal
Preaim 9.0° · Normal
Counter-Strafing 77.2% · Normal
Time to Damage 616ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
32
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
32
our skill index
Ø Rating
0.74
Ø K/D
0.73
Ø ADR
49.6
Ø KAST
65%
Ø HS
50%
Kill-level signals
Wallbang Kills
25%
Smoke Kills
6.3%
Ø Kill Distance
14.5m
Duel & utility signals
Ø Utility Dmg
76.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,680
post-buy, per round
Full-buy Win
71.4%
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.

32
050100
Impact Rating14ADR14KAST43K/D11Headshot %60Spray Control59Counter-Strafe64Flash Quality27
Spray Control 58.8
11% weight +6.7
KAST 65%
14% weight +6.1
Counter-Strafe 64
10% weight +6.1
Headshot % 50%
8% weight +4.6
Impact Rating 0.74
27% weight +3.7
ADR 49.6
14% weight +2.0
K/D 0.73
11% weight +1.3
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.