insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
44
TeamDocks
our rating
Best match
24–22 · 1.31
Inferno · peak rating
Matches analysed
3 · 0.89 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.73 · Weak
HS % 44.6% · Normal
Spray Control 66.8 · Normal
Preaim 7.1° · Normal
CS2 Hours
private
Account Age
3y
9 months
Steam Level
27
Bans
0
clean
Games
private
Friends
48
Country
ILIL
TeamDocks Rating
44
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
44
our skill index
Ø Rating
0.89
Ø K/D
0.73
Ø ADR
67.8
Ø KAST
70.4%
Ø HS
44.6%
Kill-level signals
Wallbang Kills
4.8%
Smoke Kills
4.8%
Ø Kill Distance
24.4m
Duel & utility signals
Opening Duel Win
70%
7–3 openings
Trade Kills
5
teammate deaths avenged
Clutch Win
0%
0/9 1vX won
Ø Utility Dmg
111
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$4,198
post-buy, per round
Full-buy Win
42.4%
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.

44
050100
Impact Rating29ADR40KAST58K/D11Headshot %49Spray Control67Counter-Strafe85Flash Quality27
KAST 70.4%
14% weight +8.3
Counter-Strafe 85
10% weight +8.1
Impact Rating 0.89
27% weight +7.7
Spray Control 66.8
11% weight +7.7
ADR 67.8
14% weight +5.7
Headshot % 44.6%
8% weight +3.7
K/D 0.73
11% weight +1.3
Flash Quality 27%
5% weight +1.3

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.