76561197973162083

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76561197973162083

Kein FACEIT
Leetify
Rating
nuke
cache
dust2
thera
train
anubis
mirage
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
38
TeamDocks
our rating
28
Aim
leetify
52
Positioning
leetify
32
Utility
leetify
Best match
25–16 · 1.52
Mirage · peak rating
Matches analysed
9 · 0.91 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.88 · Weak
HS % 37.0% · Weak
Spray Control 45.6 · Weak
Preaim 7.4° · Normal
Counter-Strafing 56.3% · Weak
Time to Damage 695ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
38
9 matches with us
database

TeamDocks Match Data

9 matches · our own demo analysis
Performance
TD Rating
38
our skill index
Ø Rating
0.91
Ø K/D
0.88
Ø ADR
70.3
Ø KAST
61.1%
Ø HS
37%
Kill-level signals
Wallbang Kills
1.4%
Smoke Kills
2.9%
Ø Kill Distance
18.7m
Duel & utility signals
Opening Duel Win
39.7%
23–35 openings
Trade Kills
27
teammate deaths avenged
Clutch Win
18.2%
4/22 1vX won
Ø Utility Dmg
5.4
HE + molotov, per match
Ø Equip Value
$3,543
post-buy, per round
Full-buy Win
44.5%
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.

38
050100
Impact Rating31ADR43KAST32K/D23Headshot %34Spray Control46Counter-Strafe71Flash Quality30
Impact Rating 0.91
27% weight +8.3
Counter-Strafe 71
10% weight +6.8
ADR 70.3
14% weight +6.1
Spray Control 45.6
11% weight +5.3
KAST 61.1%
14% weight +4.6
K/D 0.88
11% weight +2.6
Headshot % 37%
8% weight +2.6
Flash Quality 30%
5% weight +1.4

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.