76561198121882984

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76561198121882984

jura
nuke
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cache
dust2
grail
train
office
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basalt
mirage
ancient
inferno
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
40
Aim
leetify
53
Positioning
leetify
62
Utility
leetify
Best match
18–12 · 1.65
Ancient · peak rating
Matches analysed
3 · 1.18 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.96 · Normal
HS % 61.0% · Slightly Sus
Spray Control 54.8 · Weak
Preaim 9.7° · Weak
Counter-Strafing 49.3% · Weak
Time to Damage 585ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
63
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.18
Ø K/D
0.96
Ø ADR
97.1
Ø KAST
76.4%
Ø HS
61%
Kill-level signals
Wallbang Kills
4.7%
Smoke Kills
2.3%
Ø Kill Distance
17.3m
Duel & utility signals
Opening Duel Win
45.5%
5–6 openings
Trade Kills
4
teammate deaths avenged
Ø Utility Dmg
57
HE + molotov, per match
Ø Equip Value
$3,960
post-buy, per round
Full-buy Win
77.3%
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.

63
050100
Impact Rating58ADR82KAST75K/D30Headshot %82Spray Control55Counter-Strafe89Flash Quality24
Impact Rating 1.18
27% weight +15.5
ADR 97.1
14% weight +11.7
KAST 76.4%
14% weight +10.7
Counter-Strafe 89
10% weight +8.5
Spray Control 54.8
11% weight +6.3
Headshot % 61%
8% weight +6.2
K/D 0.96
11% weight +3.4
Flash Quality 24%
5% weight +1.1

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.