76561198035642904

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76561198035642904

cache
anubis
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
60
TeamDocks
our rating
71
Aim
leetify
47
Positioning
leetify
57
Utility
leetify
Best match
13–11 · 1.32
Anubis · peak rating
Matches analysed
2 · 1.23 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.05 · Normal
HS % 27.9% · Weak
Spray Control 66.3 · Normal
Preaim 5.6° · Normal
Counter-Strafing 81.5% · Normal
Time to Damage 568ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
60
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
60
our skill index
Ø Rating
1.23
Ø K/D
1.05
Ø ADR
88.4
Ø KAST
81.1%
Ø HS
27.9%
Kill-level signals
Wallbang Kills
4%
Smoke Kills
4%
Ø Kill Distance
17.9m
Duel & utility signals
Ø Utility Dmg
13.5
HE + molotov, per match
Ø Equip Value
$3,857
post-buy, per round
Full-buy Win
55%
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.

60
050100
Impact Rating63ADR69KAST89K/D38Headshot %16Spray Control66Counter-Strafe63Flash Quality27
Impact Rating 1.23
27% weight +16.8
KAST 81.1%
14% weight +12.7
ADR 88.4
14% weight +9.9
Spray Control 66.3
11% weight +7.5
Counter-Strafe 63
10% weight +6.0
K/D 1.05
11% weight +4.3
Flash Quality 27%
5% weight +1.3
Headshot % 27.9%
8% 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.