76561198851087803

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76561198851087803

nuke
italy
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dust2
mills
thera
train
agency
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
58
TeamDocks
our rating
69
Aim
leetify
48
Positioning
leetify
90
Utility
leetify
Best match
16–14 · 1.37
Anubis · peak rating
Matches analysed
2 · 1.21 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.14 · Normal
HS % 34.4% · Weak
Spray Control 62.2 · Normal
Preaim 15.1° · Weak
Counter-Strafing 73.2% · Normal
Time to Damage 541ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
58
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
58
our skill index
Ø Rating
1.21
Ø K/D
1.14
Ø ADR
74.8
Ø KAST
80.8%
Ø HS
34.4%
Kill-level signals
Wallbang Kills
6.3%
Smoke Kills
9.4%
Ø Kill Distance
15m
Duel & utility signals
Clutch Win
0%
0/5 1vX won
Ø Utility Dmg
39
HE + molotov, per match
Flash Assists
5
enemies blinded → team frag
Ø Equip Value
$3,753
post-buy, per round
Full-buy Win
52.4%
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.

58
050100
Impact Rating61ADR50KAST88K/D45Headshot %29Spray Control62Counter-Strafe60Flash Quality37
Impact Rating 1.21
27% weight +16.3
KAST 80.8%
14% weight +12.6
ADR 74.8
14% weight +7.1
Spray Control 62.2
11% weight +7.1
Counter-Strafe 60
10% weight +5.7
K/D 1.14
11% weight +5.1
Headshot % 34.4%
8% weight +2.2
Flash Quality 37%
5% weight +1.8

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.