76561198151041688

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76561198151041688

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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
67
TeamDocks
our rating
78
Aim
leetify
39
Positioning
leetify
76
Utility
leetify
Best match
21–15 · 1.55
Inferno · peak rating
Matches analysed
2 · 1.24 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.15 · Normal
HS % 66.2% · Slightly Sus
Spray Control 57.0 · Normal
Preaim 6.7° · Normal
Counter-Strafing 75.2% · Normal
Time to Damage 526ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
67
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
67
our skill index
Ø Rating
1.24
Ø K/D
1.15
Ø ADR
82.9
Ø KAST
79.5%
Ø HS
66.2%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
6.5%
Ø Kill Distance
16.9m
Duel & utility signals
Clutch Win
0%
0/6 1vX won
Ø Utility Dmg
91.5
HE + molotov, per match
Ø Equip Value
$4,134
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.

67
050100
Impact Rating64ADR61KAST84K/D46Headshot %92Spray Control57Counter-Strafe90Flash Quality35
Impact Rating 1.24
27% weight +17.1
KAST 79.5%
14% weight +12.0
ADR 82.9
14% weight +8.7
Counter-Strafe 90
10% weight +8.6
Headshot % 66.2%
8% weight +7.0
Spray Control 57
11% weight +6.5
K/D 1.15
11% weight +5.3
Flash Quality 35%
5% weight +1.7

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.