76561198061770674

edin
nuke
cache
dust2
train
office
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
61
TeamDocks
our rating
76
Aim
leetify
57
Positioning
leetify
74
Utility
leetify
Best match
22–17 · 1.40
Ancient · peak rating
Matches analysed
2 · 1.26 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.20 · Normal
HS % 39.2% · Weak
Spray Control 58.1 · Normal
Preaim 7.8° · Normal
Counter-Strafing 83.5% · Normal
Time to Damage 585ms · Normal
CS2 Hours
6,460h
plausible
Account Age
14y
3 months
Steam Level
11
Bans
0
clean
Games
47
8,828h total
Friends
174
Country
JMJM
TeamDocks Rating
61
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
61
our skill index
Ø Rating
1.26
Ø K/D
1.2
Ø ADR
84.5
Ø KAST
75%
Ø HS
39.2%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
2.3%
Ø Kill Distance
14.3m
Duel & utility signals
Opening Duel Win
50%
5–5 openings
Trade Kills
3
teammate deaths avenged
Ø Utility Dmg
68
HE + molotov, per match
Ø Equip Value
$3,892
post-buy, per round
Full-buy Win
43.8%
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.

61
050100
Impact Rating66ADR64KAST71K/D50Headshot %38Spray Control58Counter-Strafe68Flash Quality47
Impact Rating 1.26
27% weight +17.6
KAST 75%
14% weight +10.1
ADR 84.5
14% weight +9.1
Spray Control 58.1
11% weight +6.6
Counter-Strafe 68
10% weight +6.5
K/D 1.2
11% weight +5.7
Headshot % 39.2%
8% weight +2.9
Flash Quality 47%
5% weight +2.2

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.