**GreenBuD**ShankerS**

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76561198195954499

nuke
cache
dust2
grail
thera
train
agency
anubis
mirage
inferno
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
86
TeamDocks
our rating
58
Aim
leetify
49
Positioning
leetify
56
Utility
leetify
Best match
17–5 · 2.13
Mirage · peak rating
Matches analysed
2 · 1.77 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 2.46 · Highly Sus
HS % 27.8% · Weak
Spray Control 64.5 · Normal
Preaim 5.6° · Normal
Counter-Strafing 73.3% · Normal
Time to Damage 648ms · Weak
CS2 Hours
8,561h
plausible
Account Age
11y
2 months
Steam Level
31
Bans
0
clean
Games
96
12,979h total
Friends
private
Country
unknown
TeamDocks Rating
86
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
86
our skill index
Ø Rating
1.77
Ø K/D
2.46
Ø ADR
105.5
Ø KAST
86.7%
Ø HS
27.8%
Kill-level signals
Wallbang Kills
10.9%
Smoke Kills
13%
Ø Kill Distance
27.2m
Duel & utility signals
Ø Utility Dmg
46
HE + molotov, per match
Flash Assists
2
enemies blinded → team frag
Ø Equip Value
$4,966
post-buy, per round
Full-buy Win
67.6%
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.

86
050100
Impact Rating100ADR94KAST100K/D100Headshot %16Spray Control65Counter-Strafe94Flash Quality47
Impact Rating 1.77
27% weight +26.7
KAST 86.7%
14% weight +14.3
ADR 105.5
14% weight +13.4
K/D 2.46
11% weight +11.4
Counter-Strafe 94
10% weight +9.0
Spray Control 64.5
11% weight +7.4
Flash Quality 47%
5% weight +2.2
Headshot % 27.8%
8% 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.