76561198178625406

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76561198178625406

20,056
Kein FACEIT
Leetify
Rating
nuke
italy
cache
dust2
agency
anubis
mirage
ancient
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Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
57
TeamDocks
our rating
73
Aim
leetify
52
Positioning
leetify
67
Utility
leetify
Best match
29–11 · 2.10
Dust2 · peak rating
Matches analysed
8 · 1.17 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.25 · Normal
HS % 48.4% · Normal
Spray Control 54.2 · Weak
Preaim 8.6° · Normal
Counter-Strafing 75.0% · Normal
Time to Damage 557ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
57
8 matches with us
database

TeamDocks Match Data

8 matches · our own demo analysis
Performance
TD Rating
57
our skill index
Ø Rating
1.17
Ø K/D
1.25
Ø ADR
76.9
Ø KAST
71.5%
Ø HS
48.4%
Kill-level signals
Wallbang Kills
4.3%
Smoke Kills
2.9%
Ø Kill Distance
17.7m
Duel & utility signals
Opening Duel Win
50%
11–11 openings
Trade Kills
15
teammate deaths avenged
Clutch Win
12.5%
3/24 1vX won
Ø Utility Dmg
45.9
HE + molotov, per match
Ø Equip Value
$4,132
post-buy, per round
Full-buy Win
67.3%
rounds won on a full buy
military_tech

TeamDocks Rating

8 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.

57
050100
Impact Rating57ADR53KAST61K/D54Headshot %57Spray Control54Counter-Strafe76Flash Quality25
Impact Rating 1.17
27% weight +15.2
KAST 71.5%
14% weight +8.7
ADR 76.9
14% weight +7.6
Counter-Strafe 76
10% weight +7.2
K/D 1.25
11% weight +6.2
Spray Control 54.2
11% weight +6.2
Headshot % 48.4%
8% weight +4.3
Flash Quality 25%
5% weight +1.2

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.