insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
49
TeamDocks
our rating
53
Aim
leetify
44
Positioning
leetify
73
Utility
leetify
Best match
15–18 · 1.10
Overpass · peak rating
Matches analysed
5 · 1.03 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.96 · Normal
HS % 35.7% · Weak
Spray Control 58.4 · Normal
Preaim 5.6° · Normal
Counter-Strafing 71.9% · Normal
Time to Damage 620ms · Normal
CS2 Hours
private
Account Age
14y
8 months
Steam Level
10
Bans
0
clean
Games
private
Friends
45
Country
DKDK
TeamDocks Rating
49
5 matches with us
database

TeamDocks Match Data

5 matches · our own demo analysis
Performance
TD Rating
49
our skill index
Ø Rating
1.03
Ø K/D
0.96
Ø ADR
65.6
Ø KAST
76.1%
Ø HS
35.7%
Kill-level signals
Wallbang Kills
2%
Smoke Kills
5.9%
Ø Kill Distance
14.5m
Duel & utility signals
Opening Duel Win
44.4%
8–10 openings
Trade Kills
9
teammate deaths avenged
Clutch Win
21.4%
3/14 1vX won
Ø Utility Dmg
7.6
HE + molotov, per match
Ø Equip Value
$3,753
post-buy, per round
Full-buy Win
57.7%
rounds won on a full buy
military_tech

TeamDocks Rating

5 matches · medium confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

49
050100
Impact Rating43ADR37KAST75K/D30Headshot %31Spray Control58Counter-Strafe83Flash Quality23
Impact Rating 1.03
27% weight +11.5
KAST 76.1%
14% weight +10.7
Counter-Strafe 83
10% weight +7.9
Spray Control 58.4
11% weight +6.6
ADR 65.6
14% weight +5.3
K/D 0.96
11% weight +3.4
Headshot % 35.7%
8% weight +2.4
Flash Quality 23%
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.