76561199379401262

nuke
office
anubis
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
86
TeamDocks
our rating
98
Aim
leetify
71
Positioning
leetify
59
Utility
leetify
Best match
23–10 · 1.65
Inferno · 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 1.86 · Suspicious
HS % 54.9% · Normal
Spray Control 69.2 · Normal
Preaim 13.7° · Weak
Counter-Strafing 88.9% · Normal
Time to Damage 524ms · Normal
CS2 Hours
private
Account Age
4y
0 months
Steam Level
14
Bans
0
clean
Games
private
Friends
2
Country
unknown
TeamDocks Rating
86
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
86
our skill index
Ø Rating
1.55
Ø K/D
1.86
Ø ADR
98.1
Ø KAST
84.6%
Ø HS
54.9%
Kill-level signals
Wallbang Kills
2.1%
Smoke Kills
10.6%
Ø Kill Distance
20.9m
Duel & utility signals
Ø Utility Dmg
61.5
HE + molotov, per match
Ø Equip Value
$4,183
post-buy, per round
Full-buy Win
59.1%
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.

86
050100
Impact Rating95ADR83KAST99K/D100Headshot %70Spray Control69Counter-Strafe89Flash Quality27
Impact Rating 1.55
27% weight +25.3
KAST 84.6%
14% weight +14.1
ADR 98.1
14% weight +11.9
K/D 1.86
11% weight +11.4
Counter-Strafe 89
10% weight +8.5
Spray Control 69.2
11% weight +7.9
Headshot % 54.9%
8% weight +5.3
Flash Quality 27%
5% weight +1.3

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.