76561197960622426

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76561197960622426

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ancient
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Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
72
TeamDocks
our rating
87
Aim
leetify
73
Positioning
leetify
80
Utility
leetify
Best match
27–8 · 2.03
Inferno · peak rating
Matches analysed
17 · 1.33 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.43 · Normal
HS % 52.8% · Normal
Spray Control 63.1 · Normal
Preaim 8.1° · Normal
Counter-Strafing 81.6% · Normal
Time to Damage 533ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
72
17 matches with us
database

TeamDocks Match Data

17 matches · our own demo analysis
Performance
TD Rating
72
our skill index
Ø Rating
1.33
Ø K/D
1.43
Ø ADR
97.1
Ø KAST
78.5%
Ø HS
52.8%
Kill-level signals
Wallbang Kills
3.9%
Smoke Kills
9.4%
Ø Kill Distance
16.7m
Duel & utility signals
Opening Duel Win
64%
48–27 openings
Trade Kills
58
teammate deaths avenged
Clutch Win
13.2%
5/38 1vX won
Ø Utility Dmg
85.4
HE + molotov, per match
Flash Assists
11
enemies blinded → team frag
Ø Equip Value
$3,806
post-buy, per round
Full-buy Win
55.7%
rounds won on a full buy
military_tech

TeamDocks Rating

17 matches · high confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

72
050100
Impact Rating73ADR82KAST81K/D69Headshot %66Spray Control63Counter-Strafe79Flash Quality33
Impact Rating 1.33
27% weight +19.5
ADR 97.1
14% weight +11.7
KAST 78.5%
14% weight +11.6
K/D 1.43
11% weight +7.9
Counter-Strafe 79
10% weight +7.5
Spray Control 63.1
11% weight +7.2
Headshot % 52.8%
8% weight +5.0
Flash Quality 33%
5% weight +1.6

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.