76561197979498524

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76561197979498524

nuke
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anubis
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ancient
inferno
vertigo
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Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
48
TeamDocks
our rating
74
Aim
leetify
41
Positioning
leetify
43
Utility
leetify
Best match
18–9 · 1.59
Inferno · peak rating
Matches analysed
16 · 0.97 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.01 · Normal
HS % 57.1% · Normal
Spray Control 55.5 · Normal
Preaim 6.8° · Normal
Counter-Strafing 78.7% · Normal
Time to Damage 647ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
48
16 matches with us
database

TeamDocks Match Data

16 matches · our own demo analysis
Performance
TD Rating
48
our skill index
Ø Rating
0.97
Ø K/D
1.01
Ø ADR
64
Ø KAST
69.1%
Ø HS
57.1%
Kill-level signals
Wallbang Kills
2.1%
Smoke Kills
2.1%
Ø Kill Distance
16.9m
Duel & utility signals
Opening Duel Win
43.6%
17–22 openings
Trade Kills
26
teammate deaths avenged
Clutch Win
16.7%
6/36 1vX won
Ø Utility Dmg
16.1
HE + molotov, per match
Flash Assists
3
enemies blinded → team frag
Ø Equip Value
$3,594
post-buy, per round
Full-buy Win
60.7%
rounds won on a full buy
military_tech

TeamDocks Rating

16 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.

48
050100
Impact Rating37ADR34KAST55K/D34Headshot %74Spray Control56Counter-Strafe88Flash Quality23
Impact Rating 0.97
27% weight +9.9
Counter-Strafe 88
10% weight +8.4
KAST 69.1%
14% weight +7.9
Spray Control 55.5
11% weight +6.4
Headshot % 57.1%
8% weight +5.6
ADR 64
14% weight +4.9
K/D 1.01
11% weight +3.9
Flash Quality 23%
5% weight +1.1

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.