76561197999136635

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76561197999136635

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golden
mirage
ancient
inferno
palacio
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insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
82
TeamDocks
our rating
26
Aim
leetify
37
Positioning
leetify
58
Utility
leetify
Best match
27–6 · 2.23
Overpass · peak rating
Matches analysed
3 · 1.71 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 2.42 · Highly Sus
HS % 33.3% · Weak
Spray Control 53.4 · Weak
Preaim 6.1° · Normal
Counter-Strafing 64.9% · Weak
Time to Damage 685ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
82
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
82
our skill index
Ø Rating
1.71
Ø K/D
2.42
Ø ADR
108.1
Ø KAST
83%
Ø HS
33.3%
Kill-level signals
Wallbang Kills
4.2%
Smoke Kills
8.5%
Ø Kill Distance
13.7m
Duel & utility signals
Opening Duel Win
61.9%
13–8 openings
Trade Kills
5
teammate deaths avenged
Clutch Win
40%
2/5 1vX won
Ø Utility Dmg
121.3
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,918
post-buy, per round
Full-buy Win
72.5%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

82
050100
Impact Rating100ADR97KAST94K/D100Headshot %27Spray Control53Counter-Strafe75Flash Quality30
Impact Rating 1.71
27% weight +26.7
ADR 108.1
14% weight +13.9
KAST 83%
14% weight +13.4
K/D 2.42
11% weight +11.4
Counter-Strafe 75
10% weight +7.1
Spray Control 53.4
11% weight +6.1
Headshot % 33.3%
8% weight +2.1
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.