76561199371769729

edin
jura
nuke
italy
cache
dust2
grail
mills
thera
train
agency
anubis
golden
mirage
shelter
ancient
inferno
vertigo
fachwerk
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
89
TeamDocks
our rating
95
Aim
leetify
71
Positioning
leetify
74
Utility
leetify
Best match
23–8 · 2.07
Ancient · peak rating
Matches analysed
2 · 2.03 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 2.56 · Highly Sus
HS % 48.0% · Normal
Spray Control 71.5 · Slightly Sus
Preaim 10.5° · Weak
Counter-Strafing 85.3% · Normal
Time to Damage 507ms · Normal
CS2 Hours
private
Account Age
4y
0 months
Steam Level
30
Bans
1
Game
Games
private
Friends
98
Country
SESE
TeamDocks Rating
89
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
89
our skill index
Ø Rating
2.03
Ø K/D
2.56
Ø ADR
135.6
Ø KAST
87.2%
Ø HS
48%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
14%
Ø Kill Distance
18m
Duel & utility signals
Ø Utility Dmg
12.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,406
post-buy, per round
Full-buy Win
78.6%
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.

89
050100
Impact Rating100ADR100KAST100K/D100Headshot %56Spray Control72Counter-Strafe79Flash Quality42
Impact Rating 2.03
27% weight +26.7
ADR 135.6
14% weight +14.3
KAST 87.2%
14% weight +14.3
K/D 2.56
11% weight +11.4
Spray Control 71.5
11% weight +8.2
Counter-Strafe 79
10% weight +7.5
Headshot % 48%
8% weight +4.3
Flash Quality 42%
5% weight +2.0

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.