Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
67
TeamDocks
our rating
74
Aim
leetify
71
Positioning
leetify
75
Utility
leetify
Best match
19–12 · 1.36
Inferno · peak rating
Matches analysed
2 · 1.33 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.42 · Normal
HS % 35.8% · Weak
Spray Control 70.3 · Normal
Preaim 7.7° · Normal
Counter-Strafing 73.1% · Normal
Time to Damage 577ms · Normal
CS2 Hours
private
Account Age
11y
1 months
Steam Level
46
Bans
0
clean
Games
private
Friends
private
Country
MNMN
TeamDocks Rating
67
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
67
our skill index
Ø Rating
1.33
Ø K/D
1.42
Ø ADR
81.9
Ø KAST
81.2%
Ø HS
35.8%
Kill-level signals
Wallbang Kills
2.9%
Smoke Kills
20.6%
Ø Kill Distance
16.7m
Duel & utility signals
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
67.5
HE + molotov, per match
Ø Equip Value
$4,362
post-buy, per round
Full-buy Win
59.4%
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.

67
050100
Impact Rating73ADR60KAST89K/D68Headshot %32Spray Control70Counter-Strafe69Flash Quality36
Impact Rating 1.33
27% weight +19.5
KAST 81.2%
14% weight +12.7
ADR 81.9
14% weight +8.6
Spray Control 70.3
11% weight +8.0
K/D 1.42
11% weight +7.8
Counter-Strafe 69
10% weight +6.6
Headshot % 35.8%
8% weight +2.4
Flash Quality 36%
5% weight +1.7

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.