76561198142735754

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76561198142735754

Kein FACEIT
Kein Leetify
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
57
TeamDocks
our rating
Best match
15–13 · 1.23
Inferno · peak rating
Matches analysed
2 · 1.19 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.02 · Normal
HS % 23.3% · Weak
Spray Control 62.1 · Normal
Preaim 8.6° · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
57
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
57
our skill index
Ø Rating
1.19
Ø K/D
1.02
Ø ADR
78.3
Ø KAST
83.7%
Ø HS
23.3%
Kill-level signals
Wallbang Kills
6.7%
Smoke Kills
3.3%
Ø Kill Distance
20.2m
Duel & utility signals
Opening Duel Win
71.4%
10–4 openings
Trade Kills
2
teammate deaths avenged
Clutch Win
14.3%
1/7 1vX won
Ø Utility Dmg
74.5
HE + molotov, per match
Ø Equip Value
$4,514
post-buy, per round
Full-buy Win
73.3%
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.

57
050100
Impact Rating59ADR55KAST96K/D35Headshot %7Spray Control62Counter-Strafe71Flash Quality25
Impact Rating 1.19
27% weight +15.7
KAST 83.7%
14% weight +13.7
ADR 78.3
14% weight +7.9
Spray Control 62.1
11% weight +7.1
Counter-Strafe 71
10% weight +6.8
K/D 1.02
11% weight +4.0
Flash Quality 25%
5% weight +1.2
Headshot % 23.3%
8% weight +0.5

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.