76561198198980618

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76561198198980618

nuke
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dust2
train
anubis
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
68
TeamDocks
our rating
57
Aim
leetify
49
Positioning
leetify
68
Utility
leetify
Best match
27–13 · 1.82
Ancient · peak rating
Matches analysed
3 · 1.37 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.45 · Normal
HS % 32.5% · Weak
Spray Control 57.9 · Normal
Preaim 4.7° · Slightly Sus
Counter-Strafing 62.4% · Weak
Time to Damage 550ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
68
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
68
our skill index
Ø Rating
1.37
Ø K/D
1.45
Ø ADR
90.6
Ø KAST
80.6%
Ø HS
32.5%
Kill-level signals
Wallbang Kills
5.5%
Smoke Kills
7.3%
Ø Kill Distance
20m
Duel & utility signals
Opening Duel Win
58.3%
7–5 openings
Trade Kills
6
teammate deaths avenged
Clutch Win
20%
2/10 1vX won
Ø Utility Dmg
7.3
HE + molotov, per match
Ø Equip Value
$4,078
post-buy, per round
Full-buy Win
69%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

68
050100
Impact Rating77ADR72KAST87K/D71Headshot %25Spray Control58Counter-Strafe69Flash Quality35
Impact Rating 1.37
27% weight +20.5
KAST 80.6%
14% weight +12.4
ADR 90.6
14% weight +10.3
K/D 1.45
11% weight +8.1
Spray Control 57.9
11% weight +6.6
Counter-Strafe 69
10% weight +6.6
Headshot % 32.5%
8% weight +1.9
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.