76561198142059582

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76561198142059582

nuke
cache
alpine
office
anubis
mirage
ancient
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
83
TeamDocks
our rating
76
Aim
leetify
63
Positioning
leetify
57
Utility
leetify
Best match
34–17 · 2.08
Vertigo · peak rating
Matches analysed
2 · 1.76 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.50 · Normal
HS % 45.0% · Normal
Spray Control 58.1 · Normal
Preaim 10.0° · Weak
Counter-Strafing 80.6% · Normal
Time to Damage 598ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
83
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
83
our skill index
Ø Rating
1.76
Ø K/D
1.5
Ø ADR
124.8
Ø KAST
92.9%
Ø HS
45%
Kill-level signals
Wallbang Kills
5.6%
Smoke Kills
5.6%
Ø Kill Distance
15.8m
Duel & utility signals
Opening Duel Win
80%
8–2 openings
Trade Kills
11
teammate deaths avenged
Clutch Win
12.5%
1/8 1vX won
Ø Utility Dmg
94
HE + molotov, per match
Ø Equip Value
$3,750
post-buy, per round
Full-buy Win
57.7%
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.

83
050100
Impact Rating100ADR100KAST100K/D75Headshot %50Spray Control58Counter-Strafe80Flash Quality16
Impact Rating 1.76
27% weight +26.7
ADR 124.8
14% weight +14.3
KAST 92.9%
14% weight +14.3
K/D 1.5
11% weight +8.6
Counter-Strafe 80
10% weight +7.6
Spray Control 58.1
11% weight +6.6
Headshot % 45%
8% weight +3.8
Flash Quality 16%
5% weight +0.8

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.