76561198210241999

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76561198210241999

nuke
cache
dust2
mills
thera
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
86
Aim
leetify
55
Positioning
leetify
77
Utility
leetify
Best match
17–14 · 1.30
Mirage · peak rating
Matches analysed
2 · 1.22 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.08 · Normal
HS % 57.2% · Normal
Spray Control 64.6 · Normal
Preaim 10.2° · Weak
Counter-Strafing 79.9% · Normal
Time to Damage 567ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
63
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.22
Ø K/D
1.08
Ø ADR
90.7
Ø KAST
74.3%
Ø HS
57.2%
Kill-level signals
Wallbang Kills
2.9%
Smoke Kills
8.6%
Ø Kill Distance
21.9m
Duel & utility signals
Opening Duel Win
66.7%
8–4 openings
Trade Kills
3
teammate deaths avenged
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
14
HE + molotov, per match
Ø Equip Value
$3,801
post-buy, per round
Full-buy Win
69.2%
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.

63
050100
Impact Rating62ADR72KAST69K/D40Headshot %74Spray Control65Counter-Strafe78Flash Quality32
Impact Rating 1.22
27% weight +16.5
ADR 90.7
14% weight +10.3
KAST 74.3%
14% weight +9.9
Spray Control 64.6
11% weight +7.4
Counter-Strafe 78
10% weight +7.4
Headshot % 57.2%
8% weight +5.6
K/D 1.08
11% weight +4.6
Flash Quality 32%
5% weight +1.5

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.