76561198109737838

compare_arrowsCompare

76561198109737838

Kein FACEIT
Leetify
Rating
edin
nuke
cache
dust2
mills
thera
train
anubis
golden
mirage
ancient
inferno
palacio
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
78
Aim
leetify
54
Positioning
leetify
68
Utility
leetify
Best match
13–8 · 1.55
Anubis · peak rating
Matches analysed
3 · 1.24 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.20 · Normal
HS % 42.8% · Normal
Spray Control 59.5 · Normal
Preaim 9.5° · Weak
Counter-Strafing 79.4% · Normal
Time to Damage 605ms · 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
1.24
Ø K/D
1.2
Ø ADR
80.8
Ø KAST
79.3%
Ø HS
42.8%
Kill-level signals
Wallbang Kills
4.8%
Smoke Kills
11.9%
Ø Kill Distance
16.8m
Duel & utility signals
Ø Utility Dmg
17.3
HE + molotov, per match
Ø Equip Value
$3,989
post-buy, per round
Full-buy Win
65.8%
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 Rating64ADR58KAST84K/D50Headshot %46Spray Control60Counter-Strafe83Flash Quality31
Impact Rating 1.24
27% weight +17.1
KAST 79.3%
14% weight +12.0
ADR 80.8
14% weight +8.3
Counter-Strafe 83
10% weight +7.9
Spray Control 59.5
11% weight +6.9
K/D 1.2
11% weight +5.7
Headshot % 42.8%
8% weight +3.5
Flash Quality 31%
5% weight +1.5

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.