76561198066382974

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76561198066382974

nuke
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dust2
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
70
TeamDocks
our rating
84
Aim
leetify
34
Positioning
leetify
34
Utility
leetify
Best match
24–22 · 1.37
Anubis · peak rating
Matches analysed
2 · 1.33 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.27 · Normal
HS % 45.8% · Normal
Spray Control 61.3 · Normal
Preaim 6.8° · Normal
Counter-Strafing 81.5% · Normal
Time to Damage 586ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
70
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
70
our skill index
Ø Rating
1.33
Ø K/D
1.27
Ø ADR
95.2
Ø KAST
77.8%
Ø HS
45.8%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
6%
Ø Kill Distance
22.2m
Duel & utility signals
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
19.5
HE + molotov, per match
Ø Equip Value
$3,362
post-buy, per round
Full-buy Win
42.1%
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.

70
050100
Impact Rating73ADR79KAST79K/D56Headshot %52Spray Control61Counter-Strafe79
Impact Rating 1.33
28% weight +20.4
ADR 95.2
15% weight +11.9
KAST 77.8%
15% weight +11.9
Counter-Strafe 79
10% weight +7.9
Spray Control 61.3
12% weight +7.3
K/D 1.27
12% weight +6.7
Headshot % 45.8%
8% weight +4.2

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.