76561198316733367

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76561198316733367

Kein FACEIT
Kein Leetify
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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
44
TeamDocks
our rating
Best match
18–13 · 1.55
Inferno · peak rating
Matches analysed
9 · 0.94 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.83 · Weak
HS % 32.5% · Weak
Spray Control 63.2 · Normal
Preaim 7.2° · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
44
9 matches with us
database

TeamDocks Match Data

9 matches · our own demo analysis
Performance
TD Rating
44
our skill index
Ø Rating
0.94
Ø K/D
0.83
Ø ADR
73.8
Ø KAST
69.5%
Ø HS
32.5%
Kill-level signals
Wallbang Kills
1.7%
Smoke Kills
9.4%
Ø Kill Distance
16.5m
Duel & utility signals
Opening Duel Win
50%
10–10 openings
Trade Kills
18
teammate deaths avenged
Clutch Win
15.8%
3/19 1vX won
Ø Utility Dmg
124.3
HE + molotov, per match
Ø Equip Value
$3,924
post-buy, per round
Full-buy Win
59.1%
rounds won on a full buy
military_tech

TeamDocks Rating

9 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.

44
050100
Impact Rating34ADR48KAST56K/D19Headshot %25Spray Control63Counter-Strafe88Flash Quality11
Impact Rating 0.94
27% weight +9.1
Counter-Strafe 88
10% weight +8.4
KAST 69.5%
14% weight +8.0
Spray Control 63.2
11% weight +7.2
ADR 73.8
14% weight +6.9
K/D 0.83
11% weight +2.2
Headshot % 32.5%
8% weight +1.9
Flash Quality 11%
5% weight +0.5

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.