76561199415622407

nuke
cache
dust2
office
anubis
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
53
TeamDocks
our rating
82
Aim
leetify
48
Positioning
leetify
56
Utility
leetify
Best match
19–11 · 1.46
Overpass · peak rating
Matches analysed
2 · 1.16 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.29 · Normal
HS % 36.6% · Weak
Spray Control 49.3 · Weak
Preaim 4.5° · Slightly Sus
Counter-Strafing 83.9% · Normal
Time to Damage 567ms · Normal
CS2 Hours
2,027h
plausible
Account Age
3y
9 months
Steam Level
8
Bans
0
clean
Games
3
2,028h total
Friends
3
Country
ESES
TeamDocks Rating
53
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
53
our skill index
Ø Rating
1.16
Ø K/D
1.29
Ø ADR
70.5
Ø KAST
72.5%
Ø HS
36.6%
Kill-level signals
Wallbang Kills
6.7%
Smoke Kills
6.7%
Ø Kill Distance
18.1m
Duel & utility signals
Ø Utility Dmg
3
HE + molotov, per match
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.

53
050100
Impact Rating56ADR44KAST64K/D58Headshot %33Spray Control49Counter-Strafe72Flash Quality31
Impact Rating 1.16
27% weight +14.9
KAST 72.5%
14% weight +9.1
Counter-Strafe 72
10% weight +6.9
K/D 1.29
11% weight +6.6
ADR 70.5
14% weight +6.3
Spray Control 49.3
11% weight +5.6
Headshot % 36.6%
8% weight +2.5
Flash Quality 31%
5% weight +1.5

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.