76561199066966971

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76561199066966971

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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
61
TeamDocks
our rating
80
Aim
leetify
59
Positioning
leetify
79
Utility
leetify
Best match
21–13 · 1.36
Vertigo · peak rating
Matches analysed
2 · 1.21 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.18 · Normal
HS % 44.1% · Normal
Spray Control 60.7 · Normal
Preaim 13.9° · Weak
Counter-Strafing 80.4% · Normal
Time to Damage 521ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
CZCZ
most common in friends list
TeamDocks Rating
61
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
61
our skill index
Ø Rating
1.21
Ø K/D
1.18
Ø ADR
78
Ø KAST
82.1%
Ø HS
44.1%
Kill-level signals
Wallbang Kills
11.1%
Smoke Kills
3.7%
Ø Kill Distance
13.5m
Duel & utility signals
Ø Utility Dmg
142.5
HE + molotov, per match
Ø Equip Value
$3,915
post-buy, per round
Full-buy Win
58.8%
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.

61
050100
Impact Rating61ADR54KAST92K/D48Headshot %48Spray Control61Counter-Strafe67Flash Quality35
Impact Rating 1.21
27% weight +16.3
KAST 82.1%
14% weight +13.1
ADR 78
14% weight +7.7
Spray Control 60.7
11% weight +7.0
Counter-Strafe 67
10% weight +6.4
K/D 1.18
11% weight +5.5
Headshot % 44.1%
8% weight +3.7
Flash Quality 35%
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.