Cigarette Flavoured Jelly Beans

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76561198012999230

Kein FACEIT
Leetify
Rating
nuke
cache
train
anubis
mirage
ancient
inferno
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
53
TeamDocks
our rating
54
Aim
leetify
44
Positioning
leetify
58
Utility
leetify
Best match
15–14 · 1.17
Inferno · peak rating
Matches analysed
4 · 1.01 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.80 · Weak
HS % 61.5% · Slightly Sus
Spray Control 57.3 · Normal
Preaim 5.4° · Slightly Sus
Counter-Strafing 79.9% · Normal
Time to Damage 669ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
53
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
53
our skill index
Ø Rating
1.01
Ø K/D
0.8
Ø ADR
75.8
Ø KAST
77.6%
Ø HS
61.5%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
5.7%
Ø Kill Distance
19.3m
Duel & utility signals
Ø Utility Dmg
64.3
HE + molotov, per match
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.

53
050100
Impact Rating41ADR51KAST79K/D17Headshot %83Spray Control57Counter-Strafe80Flash Quality30
KAST 77.6%
14% weight +11.3
Impact Rating 1.01
27% weight +10.9
Counter-Strafe 80
10% weight +7.6
ADR 75.8
14% weight +7.3
Spray Control 57.3
11% weight +6.5
Headshot % 61.5%
8% weight +6.3
K/D 0.8
11% weight +1.9
Flash Quality 30%
5% weight +1.4

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.