76561198216660600

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76561198216660600

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Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
39
TeamDocks
our rating
56
Aim
leetify
55
Positioning
leetify
35
Utility
leetify
Best match
21–19 · 1.34
Cache · peak rating
Matches analysed
5 · 0.84 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.71 · Weak
HS % 48.0% · Normal
Spray Control 63.4 · Normal
Preaim 6.8° · Normal
Counter-Strafing 77.4% · Normal
Time to Damage 732ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
39
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
39
our skill index
Ø Rating
0.84
Ø K/D
0.71
Ø ADR
77.1
Ø KAST
60.7%
Ø HS
48%
Kill-level signals
Wallbang Kills
3.3%
Smoke Kills
6.6%
Ø Kill Distance
20.3m
Duel & utility signals
Opening Duel Win
50%
7–7 openings
Trade Kills
9
teammate deaths avenged
Clutch Win
5.9%
1/17 1vX won
Ø Utility Dmg
10
HE + molotov, per match
Ø Equip Value
$2,060
post-buy, per round
Full-buy Win
42.9%
rounds won on a full buy
military_tech

TeamDocks Rating

5 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 7 measured dimensions; weights renormalize over whatever data we have.

39
050100
Impact Rating24ADR53KAST31K/D9Headshot %56Spray Control63Counter-Strafe67
ADR 77.1
15% weight +7.9
Spray Control 63.4
12% weight +7.6
Impact Rating 0.84
28% weight +6.7
Counter-Strafe 67
10% weight +6.7
KAST 60.7%
15% weight +4.6
Headshot % 48%
8% weight +4.5
K/D 0.71
12% weight +1.1

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.