76561197965637201

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76561197965637201

Kein FACEIT
Leetify
Rating
train
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
29
TeamDocks
our rating
54
Aim
leetify
36
Positioning
leetify
58
Utility
leetify
Best match
11–11 · 1.19
Nuke · peak rating
Matches analysed
14 · 0.73 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.64 · Weak
HS % 41.3% · Normal
Spray Control 53.7 · Weak
Preaim 7.6° · Normal
Counter-Strafing 69.6% · Normal
Time to Damage 601ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
29
14 matches with us
database

TeamDocks Match Data

14 matches · our own demo analysis
Performance
TD Rating
29
our skill index
Ø Rating
0.73
Ø K/D
0.64
Ø ADR
56.7
Ø KAST
63.2%
Ø HS
41.3%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
5.1%
Ø Kill Distance
15.4m
Duel & utility signals
Opening Duel Win
31.3%
15–33 openings
Trade Kills
20
teammate deaths avenged
Clutch Win
9.3%
4/43 1vX won
Ø Utility Dmg
49.6
HE + molotov, per match
Flash Assists
4
enemies blinded → team frag
Ø Equip Value
$3,636
post-buy, per round
Full-buy Win
54.4%
rounds won on a full buy
military_tech

TeamDocks Rating

14 matches · high 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.

29
050100
Impact Rating13ADR24KAST38K/D3Headshot %43Spray Control54Counter-Strafe64Flash Quality24
Spray Control 53.7
11% weight +6.2
Counter-Strafe 64
10% weight +6.1
KAST 63.2%
14% weight +5.4
Impact Rating 0.73
27% weight +3.5
ADR 56.7
14% weight +3.4
Headshot % 41.3%
8% weight +3.3
Flash Quality 24%
5% weight +1.1
K/D 0.64
11% weight +0.3

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.