76561198033742356

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76561198033742356

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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
62
TeamDocks
our rating
73
Aim
leetify
37
Positioning
leetify
66
Utility
leetify
Best match
17–14 · 1.29
Inferno · peak rating
Matches analysed
2 · 1.19 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.05 · Normal
HS % 60.7% · Slightly Sus
Spray Control 63.6 · Normal
Preaim 6.4° · Normal
Counter-Strafing 78.4% · Normal
Time to Damage 635ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
62
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
62
our skill index
Ø Rating
1.19
Ø K/D
1.05
Ø ADR
88.7
Ø KAST
74.1%
Ø HS
60.7%
Kill-level signals
Wallbang Kills
3%
Smoke Kills
9.1%
Ø Kill Distance
16.1m
Duel & utility signals
Ø Utility Dmg
171
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,203
post-buy, per round
Full-buy Win
84.6%
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.

62
050100
Impact Rating59ADR70KAST69K/D38Headshot %81Spray Control64Counter-Strafe75Flash Quality38
Impact Rating 1.19
27% weight +15.7
ADR 88.7
14% weight +10.0
KAST 74.1%
14% weight +9.9
Spray Control 63.6
11% weight +7.3
Counter-Strafe 75
10% weight +7.1
Headshot % 60.7%
8% weight +6.2
K/D 1.05
11% weight +4.3
Flash Quality 38%
5% weight +1.8

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.