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76561198081629405

nuke
cache
dust2
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
52
TeamDocks
our rating
71
Aim
leetify
58
Positioning
leetify
66
Utility
leetify
Best match
19–13 · 1.60
Nuke · peak rating
Matches analysed
5 · 1.07 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.88 · Weak
HS % 40.5% · Normal
Spray Control 58.5 · Normal
Preaim 12.2° · Weak
Counter-Strafing 79.8% · Normal
Time to Damage 588ms · Normal
CS2 Hours
1,785h
plausible
Account Age
13y
6 months
Steam Level
13
Bans
0
clean
Games
136
10,517h total
Friends
76
Country
RURU
TeamDocks Rating
52
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
52
our skill index
Ø Rating
1.07
Ø K/D
0.88
Ø ADR
83.2
Ø KAST
74.1%
Ø HS
40.5%
Kill-level signals
Wallbang Kills
4.4%
Smoke Kills
4.4%
Ø Kill Distance
16.2m
Duel & utility signals
Opening Duel Win
50%
5–5 openings
Trade Kills
7
teammate deaths avenged
Clutch Win
0%
0/7 1vX won
Ø Utility Dmg
26.4
HE + molotov, per match
Ø Equip Value
$3,884
post-buy, per round
Full-buy Win
51.3%
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.

52
050100
Impact Rating47ADR62KAST69K/D23Headshot %41Spray Control59Counter-Strafe80Flash Quality19
Impact Rating 1.07
27% weight +12.5
KAST 74.1%
14% weight +9.9
ADR 83.2
14% weight +8.9
Counter-Strafe 80
10% weight +7.6
Spray Control 58.5
11% weight +6.7
Headshot % 40.5%
8% weight +3.1
K/D 0.88
11% weight +2.6
Flash Quality 19%
5% weight +0.9

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.