76561197960337563

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76561197960337563

nuke
dust2
train
anubis
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
46
TeamDocks
our rating
42
Aim
leetify
45
Positioning
leetify
71
Utility
leetify
Best match
14–15 · 1.13
Overpass · peak rating
Matches analysed
5 · 0.95 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.80 · Weak
HS % 42.9% · Normal
Spray Control 61.3 · Normal
Preaim 9.4° · Normal
Counter-Strafing 78.2% · Normal
Time to Damage 684ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
46
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
46
our skill index
Ø Rating
0.95
Ø K/D
0.8
Ø ADR
80
Ø KAST
67.2%
Ø HS
42.9%
Kill-level signals
Wallbang Kills
1.3%
Smoke Kills
5.3%
Ø Kill Distance
16.9m
Duel & utility signals
Opening Duel Win
34.6%
9–17 openings
Trade Kills
3
teammate deaths avenged
Clutch Win
0%
0/13 1vX won
Ø Utility Dmg
46.6
HE + molotov, per match
Flash Assists
3
enemies blinded → team frag
Ø Equip Value
$3,531
post-buy, per round
Full-buy Win
49%
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 8 measured dimensions; weights renormalize over whatever data we have.

46
050100
Impact Rating35ADR57KAST49K/D17Headshot %46Spray Control61Counter-Strafe82Flash Quality33
Impact Rating 0.95
27% weight +9.3
ADR 80
14% weight +8.1
Counter-Strafe 82
10% weight +7.8
KAST 67.2%
14% weight +7.0
Spray Control 61.3
11% weight +7.0
Headshot % 42.9%
8% weight +3.5
K/D 0.8
11% weight +1.9
Flash Quality 33%
5% weight +1.6

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.