76561198197886274

jura
nuke
italy
cache
dust2
grail
mills
thera
train
anubis
basalt
golden
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
38
TeamDocks
our rating
57
Aim
leetify
45
Positioning
leetify
54
Utility
leetify
Best match
16–14 · 1.21
Mirage · peak rating
Matches analysed
2 · 0.79 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.68 · Weak
HS % 38.5% · Weak
Spray Control 62.0 · Normal
Preaim 5.9° · Normal
Counter-Strafing 81.3% · Normal
Time to Damage 688ms · Weak
CS2 Hours
1,559h
plausible
Account Age
11y
2 months
Steam Level
17
Bans
0
clean
Games
256
3,546h total
Friends
14
Country
PLPL
TeamDocks Rating
38
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
38
our skill index
Ø Rating
0.79
Ø K/D
0.68
Ø ADR
67.5
Ø KAST
63.1%
Ø HS
38.5%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
10.5%
Ø Kill Distance
18.2m
Duel & utility signals
Ø Utility Dmg
20
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,399
post-buy, per round
Full-buy Win
56.5%
rounds won on a full buy
military_tech

TeamDocks Rating

2 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 2 analyzed matches. Firms up as more of this player's games get processed.

38
050100
Impact Rating19ADR39KAST37K/D7Headshot %37Spray Control62Counter-Strafe88Flash Quality53
Counter-Strafe 88
10% weight +8.4
Spray Control 62
11% weight +7.1
ADR 67.5
14% weight +5.6
KAST 63.1%
14% weight +5.3
Impact Rating 0.79
27% weight +5.1
Headshot % 38.5%
8% weight +2.8
Flash Quality 53%
5% weight +2.5
K/D 0.68
11% weight +0.8

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.