insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
80
TeamDocks
our rating
76
Aim
leetify
60
Positioning
leetify
66
Utility
leetify
Best match
27–15 · 1.71
Inferno · peak rating
Matches analysed
2 · 1.52 avg
our demo parsing
Leetify games
30
tracked history
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.53 · Slightly Sus
HS % 62.8% · Slightly Sus
Spray Control 63.0 · Normal
Preaim 8.9° · Normal
CS2 Hours
private
Account Age
4y
1 months
Steam Level
6
Bans
0
clean
Games
private
Friends
232
Country
LBLB
most common in friends list
TeamDocks Rating
80
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
80
our skill index
Ø Rating
1.52
Ø K/D
1.53
Ø ADR
103.5
Ø KAST
78.3%
Ø HS
62.8%
Kill-level signals
Wallbang Kills
2.1%
Smoke Kills
4.3%
Ø Kill Distance
18.7m
Duel & utility signals
Ø Utility Dmg
143.5
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,522
post-buy, per round
Full-buy Win
63.2%
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.

80
050100
Impact Rating92ADR91KAST81K/D78Headshot %86Spray Control63Counter-Strafe72Flash Quality36
Impact Rating 1.52
27% weight +24.5
ADR 103.5
14% weight +13.0
KAST 78.3%
14% weight +11.6
K/D 1.53
11% weight +8.9
Spray Control 63
11% weight +7.2
Counter-Strafe 72
10% weight +6.9
Headshot % 62.8%
8% weight +6.6
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.