76561199216760184

Kein FACEIT
Leetify
Rating
Watch
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
49
TeamDocks
our rating
97
Aim
leetify
33
Positioning
leetify
39
Utility
leetify
Best match
16–13 · 1.23
Dust2 · peak rating
Matches analysed
4 · 1.00 avg
our demo parsing
Leetify games
30
tracked history
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.03 · Normal
HS % 45.2% · Normal
Spray Control 68.1 · Normal
Preaim 8.0° · Normal
CS2 Hours
private
Account Age
4y
9 months
Steam Level
210
Bans
0
clean
Games
private
Friends
private
Country
GBGB
TeamDocks Rating
49
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
49
our skill index
Ø Rating
1
Ø K/D
1.03
Ø ADR
52.7
Ø KAST
76.9%
Ø HS
45.2%
Kill-level signals
Wallbang Kills
10.3%
Smoke Kills
12.8%
Ø Kill Distance
16.8m
Duel & utility signals
Ø Utility Dmg
11.8
HE + molotov, per match
Flash Assists
2
enemies blinded → team frag
Ø Equip Value
$4,046
post-buy, per round
Full-buy Win
66.7%
rounds won on a full buy
military_tech

TeamDocks Rating

4 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 4 analyzed matches. Firms up as more of this player's games get processed.

49
050100
Impact Rating40ADR18KAST77K/D36Headshot %50Spray Control68Counter-Strafe87Flash Quality26
KAST 76.9%
14% weight +11.0
Impact Rating 1
27% weight +10.7
Counter-Strafe 87
10% weight +8.3
Spray Control 68.1
11% weight +7.8
K/D 1.03
11% weight +4.1
Headshot % 45.2%
8% weight +3.8
ADR 52.7
14% weight +2.6
Flash Quality 26%
5% weight +1.2

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.