76561197997464186

nuke
cache
dust2
train
anubis
mirage
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
29
TeamDocks
our rating
85
Aim
leetify
56
Positioning
leetify
38
Utility
leetify
Best match
12–16 · 0.90
Ancient · peak rating
Matches analysed
3 · 0.69 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.68 · Weak
HS % 48.6% · Normal
Spray Control 60.9 · Normal
Preaim 3.6° · Suspicious
Counter-Strafing 81.9% · Normal
Time to Damage 587ms · Normal
CS2 Hours
private
Account Age
18y
4 months
Steam Level
67
Bans
0
clean
Games
private
Friends
private
Country
DEDE
TeamDocks Rating
29
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
29
our skill index
Ø Rating
0.69
Ø K/D
0.68
Ø ADR
63.6
Ø KAST
51.7%
Ø HS
48.6%
Kill-level signals
Wallbang Kills
6.3%
Smoke Kills
3.1%
Ø Kill Distance
16m
Duel & utility signals
Opening Duel Win
30%
3–7 openings
Trade Kills
3
teammate deaths avenged
Clutch Win
14.3%
1/7 1vX won
Ø Utility Dmg
41.3
HE + molotov, per match
Ø Equip Value
$3,703
post-buy, per round
Full-buy Win
60.7%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

29
050100
Impact Rating9ADR34KAST5K/D7Headshot %57Spray Control61Counter-Strafe89Flash Quality9
Counter-Strafe 89
10% weight +8.5
Spray Control 60.9
11% weight +7.0
ADR 63.6
14% weight +4.9
Headshot % 48.6%
8% weight +4.3
Impact Rating 0.69
27% weight +2.4
K/D 0.68
11% weight +0.8
KAST 51.7%
14% weight +0.7
Flash Quality 9%
5% weight +0.4

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.