76561198041150599

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
71
TeamDocks
our rating
93
Aim
leetify
58
Positioning
leetify
48
Utility
leetify
Best match
13–8 · 1.49
Anubis · peak rating
Matches analysed
3 · 1.34 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.31 · Normal
HS % 52.1% · Normal
Spray Control 59.2 · Normal
Preaim 6.5° · Normal
Counter-Strafing 79.4% · Normal
Time to Damage 551ms · Normal
CS2 Hours
2,864h
plausible
Account Age
15y
3 months
Steam Level
55
Bans
1
VAC
Games
196
9,309h total
Friends
69
Country
DEDE
most common in friends list
TeamDocks Rating
71
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
71
our skill index
Ø Rating
1.34
Ø K/D
1.31
Ø ADR
90.1
Ø KAST
81.7%
Ø HS
52.1%
Kill-level signals
Wallbang Kills
2%
Smoke Kills
4.1%
Ø Kill Distance
23.2m
Duel & utility signals
Ø Utility Dmg
0
HE + molotov, per match
Ø Equip Value
$5,081
post-buy, per round
Full-buy Win
68.4%
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.

71
050100
Impact Rating74ADR72KAST91K/D59Headshot %64Spray Control59Counter-Strafe85Flash Quality25
Impact Rating 1.34
27% weight +19.7
KAST 81.7%
14% weight +13.0
ADR 90.1
14% weight +10.3
Counter-Strafe 85
10% weight +8.1
K/D 1.31
11% weight +6.7
Spray Control 59.2
11% weight +6.7
Headshot % 52.1%
8% weight +4.9
Flash Quality 25%
5% weight +1.2

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.