insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
58
TeamDocks
our rating
88
Aim
leetify
44
Positioning
leetify
56
Utility
leetify
Best match
24–9 · 2.09
Inferno · peak rating
Matches analysed
4 · 1.13 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.22 · Normal
HS % 51.9% · Normal
Spray Control 68.0 · Normal
Preaim 6.7° · Normal
Counter-Strafing 84.8% · Normal
Time to Damage 531ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
58
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
58
our skill index
Ø Rating
1.13
Ø K/D
1.22
Ø ADR
85.3
Ø KAST
65.9%
Ø HS
51.9%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
4.6%
Ø Kill Distance
21m
Duel & utility signals
Opening Duel Win
36.4%
4–7 openings
Trade Kills
6
teammate deaths avenged
Clutch Win
0%
0/7 1vX won
Ø Utility Dmg
39.5
HE + molotov, per match
Ø Equip Value
$3,904
post-buy, per round
Full-buy Win
71.9%
rounds won on a full buy
military_tech

TeamDocks Rating

4 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 4 analyzed matches. Firms up as more of this player's games get processed.

58
050100
Impact Rating53ADR65KAST45K/D52Headshot %64Spray Control68Counter-Strafe82Flash Quality27
Impact Rating 1.13
27% weight +14.1
ADR 85.3
14% weight +9.3
Spray Control 68
11% weight +7.8
Counter-Strafe 82
10% weight +7.8
KAST 65.9%
14% weight +6.4
K/D 1.22
11% weight +5.9
Headshot % 51.9%
8% weight +4.9
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.