76561198040159248

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76561198040159248

nuke
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train
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mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
56
TeamDocks
our rating
75
Aim
leetify
47
Positioning
leetify
60
Utility
leetify
Best match
27–22 · 1.51
Overpass · peak rating
Matches analysed
2 · 1.14 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.93 · Normal
HS % 36.6% · Weak
Spray Control 68.1 · Normal
Preaim 6.2° · Normal
Counter-Strafing 80.8% · Normal
Time to Damage 607ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
56
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
56
our skill index
Ø Rating
1.14
Ø K/D
0.93
Ø ADR
86.4
Ø KAST
76.5%
Ø HS
36.6%
Kill-level signals
Wallbang Kills
2.6%
Smoke Kills
7.7%
Ø Kill Distance
21.8m
Duel & utility signals
Opening Duel Win
61.1%
11–7 openings
Trade Kills
3
teammate deaths avenged
Clutch Win
0%
0/6 1vX won
Ø Utility Dmg
114.5
HE + molotov, per match
Ø Equip Value
$3,565
post-buy, per round
Full-buy Win
40.7%
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.

56
050100
Impact Rating54ADR66KAST76K/D28Headshot %33Spray Control68Counter-Strafe82Flash Quality6
Impact Rating 1.14
27% weight +14.4
KAST 76.5%
14% weight +10.9
ADR 86.4
14% weight +9.4
Spray Control 68.1
11% weight +7.8
Counter-Strafe 82
10% weight +7.8
K/D 0.93
11% weight +3.2
Headshot % 36.6%
8% weight +2.5
Flash Quality 6%
5% weight +0.3

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.