76561198115848836

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76561198115848836

nuke
cache
anubis
vertigo
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
47
TeamDocks
our rating
75
Aim
leetify
55
Positioning
leetify
77
Utility
leetify
Best match
24–19 · 1.21
Nuke · peak rating
Matches analysed
5 · 1.00 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.97 · Normal
HS % 43.5% · Normal
Spray Control 58.2 · Normal
Preaim 9.8° · Weak
Counter-Strafing 81.2% · Normal
Time to Damage 582ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
47
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
47
our skill index
Ø Rating
1
Ø K/D
0.97
Ø ADR
67.1
Ø KAST
71.5%
Ø HS
43.5%
Kill-level signals
Wallbang Kills
1.5%
Smoke Kills
3%
Ø Kill Distance
14.2m
Duel & utility signals
Ø Utility Dmg
82.6
HE + molotov, per match
Flash Assists
4
enemies blinded → team frag
Ø Equip Value
$3,836
post-buy, per round
Full-buy Win
95.7%
rounds won on a full buy
military_tech

TeamDocks Rating

5 matches · medium 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.

47
050100
Impact Rating40ADR39KAST61K/D31Headshot %47Spray Control58Counter-Strafe72Flash Quality35
Impact Rating 1
27% weight +10.7
KAST 71.5%
14% weight +8.7
Counter-Strafe 72
10% weight +6.9
Spray Control 58.2
11% weight +6.6
ADR 67.1
14% weight +5.6
Headshot % 43.5%
8% weight +3.6
K/D 0.97
11% weight +3.5
Flash Quality 35%
5% weight +1.7

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.