76561198000478056

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76561198000478056

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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
53
TeamDocks
our rating
75
Aim
leetify
53
Positioning
leetify
61
Utility
leetify
Best match
20–18 · 1.16
Inferno · peak rating
Matches analysed
2 · 1.06 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.94 · Normal
HS % 54.6% · Normal
Spray Control 63.8 · Normal
Preaim 7.2° · Normal
Counter-Strafing 79.5% · Normal
Time to Damage 549ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
53
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
53
our skill index
Ø Rating
1.06
Ø K/D
0.94
Ø ADR
76.7
Ø KAST
70.8%
Ø HS
54.6%
Kill-level signals
Wallbang Kills
2.9%
Smoke Kills
5.9%
Ø Kill Distance
16.7m
Duel & utility signals
Ø Utility Dmg
81
HE + molotov, per match
Ø Equip Value
$3,877
post-buy, per round
Full-buy Win
46.7%
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.

53
050100
Impact Rating46ADR52KAST59K/D28Headshot %69Spray Control64Counter-Strafe81Flash Quality25
Impact Rating 1.06
27% weight +12.3
KAST 70.8%
14% weight +8.4
Counter-Strafe 81
10% weight +7.7
ADR 76.7
14% weight +7.4
Spray Control 63.8
11% weight +7.3
Headshot % 54.6%
8% weight +5.3
K/D 0.94
11% weight +3.2
Flash Quality 25%
5% weight +1.2

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.