76561197987471291

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76561197987471291

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mills
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anubis
mirage
warden
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
51
TeamDocks
our rating
67
Aim
leetify
54
Positioning
leetify
78
Utility
leetify
Best match
22–14 · 1.58
Ancient · peak rating
Matches analysed
19 · 1.05 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.02 · Normal
HS % 45.7% · Normal
Spray Control 67.6 · Normal
Preaim 7.4° · Normal
Counter-Strafing 75.2% · Normal
Time to Damage 624ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
51
19 matches with us
database

TeamDocks Match Data

19 matches · our own demo analysis
Performance
TD Rating
51
our skill index
Ø Rating
1.05
Ø K/D
1.02
Ø ADR
77.2
Ø KAST
67.9%
Ø HS
45.7%
Kill-level signals
Wallbang Kills
3.6%
Smoke Kills
5.7%
Ø Kill Distance
17.3m
Duel & utility signals
Ø Utility Dmg
74.3
HE + molotov, per match
Ø Equip Value
$3,774
post-buy, per round
Full-buy Win
50%
rounds won on a full buy
military_tech

TeamDocks Rating

19 matches · high confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

51
050100
Impact Rating45ADR53KAST51K/D35Headshot %51Spray Control68Counter-Strafe74Flash Quality26
Impact Rating 1.05
27% weight +12.0
Spray Control 67.6
11% weight +7.8
ADR 77.2
14% weight +7.6
KAST 67.9%
14% weight +7.3
Counter-Strafe 74
10% weight +7.0
K/D 1.02
11% weight +4.0
Headshot % 45.7%
8% weight +3.9
Flash Quality 26%
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.