76561197996690001

edin
jura
nuke
italy
cache
dust2
grail
thera
train
agency
office
anubis
basalt
golden
mirage
warden
ancient
boulder
inferno
vertigo
fachwerk
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
48
TeamDocks
our rating
48
Aim
leetify
40
Positioning
leetify
73
Utility
leetify
Best match
15–13 · 1.22
Dust2 · peak rating
Matches analysed
3 · 0.98 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.92 · Normal
HS % 73.5% · Suspicious
Spray Control 48.4 · Weak
Preaim 10.6° · Weak
Counter-Strafing 70.0% · Normal
Time to Damage 644ms · Weak
CS2 Hours
5,551h
plausible
Account Age
18y
5 months
Steam Level
11
Bans
0
clean
Games
35
9,634h total
Friends
102
Country
FRFR
most common in friends list
TeamDocks Rating
48
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
48
our skill index
Ø Rating
0.98
Ø K/D
0.92
Ø ADR
66.6
Ø KAST
68.9%
Ø HS
73.5%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
7.7%
Ø Kill Distance
20.3m
Duel & utility signals
Ø Utility Dmg
3
HE + molotov, per match
Ø Equip Value
$3,790
post-buy, per round
Full-buy Win
54.5%
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.

48
050100
Impact Rating38ADR38KAST54K/D27Headshot %100Spray Control48Counter-Strafe79Flash Quality17
Impact Rating 0.98
27% weight +10.1
KAST 68.9%
14% weight +7.7
Headshot % 73.5%
8% weight +7.6
Counter-Strafe 79
10% weight +7.5
Spray Control 48.4
11% weight +5.5
ADR 66.6
14% weight +5.4
K/D 0.92
11% weight +3.1
Flash Quality 17%
5% 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.