76561197994604790

nuke
italy
cache
dust2
thera
train
office
anubis
golden
mirage
ancient
inferno
palacio
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
30
TeamDocks
our rating
13
Aim
leetify
46
Positioning
leetify
65
Utility
leetify
Best match
16–16 · 1.15
Overpass · peak rating
Matches analysed
4 · 0.84 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.68 · Weak
HS % 19.8% · Weak
Spray Control 35.3 · Weak
Preaim 5.4° · Slightly Sus
Counter-Strafing 55.7% · Weak
Time to Damage 606ms · Normal
CS2 Hours
3,322h
plausible
Account Age
18y
8 months
Steam Level
33
Bans
0
clean
Games
319
8,901h total
Friends
380
Country
DEDE
TeamDocks Rating
30
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
30
our skill index
Ø Rating
0.84
Ø K/D
0.68
Ø ADR
75.7
Ø KAST
64.3%
Ø HS
19.8%
Kill-level signals
Wallbang Kills
2.2%
Smoke Kills
0%
Ø Kill Distance
11.4m
Duel & utility signals
Opening Duel Win
40.9%
9–13 openings
Trade Kills
5
teammate deaths avenged
Ø Utility Dmg
48.5
HE + molotov, per match
Ø Equip Value
$3,007
post-buy, per round
Full-buy Win
32.4%
rounds won on a full buy
military_tech

TeamDocks Rating

4 matches · provisional

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.

Provisional — based on only 4 analyzed matches. Firms up as more of this player's games get processed.

30
050100
Impact Rating24ADR51KAST41K/D7Headshot %0Spray Control35Counter-Strafe48Flash Quality23
ADR 75.7
14% weight +7.3
Impact Rating 0.84
27% weight +6.4
KAST 64.3%
14% weight +5.9
Counter-Strafe 48
10% weight +4.6
Spray Control 35.3
11% weight +4.0
Flash Quality 23%
5% weight +1.1
K/D 0.68
11% weight +0.8
Headshot % 19.8%
8% weight +0.0

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.