76561198124363057

compare_arrowsCompare

76561198124363057

23,005
Kein FACEIT
Leetify
Rating
jura
nuke
cache
dust2
grail
mills
thera
train
agency
alpine
office
anubis
basalt
golden
mirage
warden
shelter
ancient
boulder
inferno
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
79
TeamDocks
our rating
59
Aim
leetify
41
Positioning
leetify
50
Utility
leetify
Best match
23–11 · 1.87
Anubis · peak rating
Matches analysed
2 · 1.55 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.71 · Slightly Sus
HS % 32.4% · Weak
Spray Control 62.5 · Normal
Preaim 8.7° · Normal
Counter-Strafing 72.2% · Normal
Time to Damage 564ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
79
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
79
our skill index
Ø Rating
1.55
Ø K/D
1.71
Ø ADR
106.1
Ø KAST
74.3%
Ø HS
32.4%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
0%
Ø Kill Distance
19.4m
Duel & utility signals
Ø Utility Dmg
22
HE + molotov, per match
Ø Equip Value
$4,095
post-buy, per round
Full-buy Win
76.9%
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.

79
050100
Impact Rating95ADR94KAST69K/D93Headshot %25Spray Control63Counter-Strafe77
Impact Rating 1.55
28% weight +26.6
ADR 106.1
15% weight +14.1
K/D 1.71
12% weight +11.2
KAST 74.3%
15% weight +10.4
Counter-Strafe 77
10% weight +7.7
Spray Control 62.5
12% weight +7.6
Headshot % 32.4%
8% 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.