insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
37
TeamDocks
our rating
61
Aim
leetify
48
Positioning
leetify
47
Utility
leetify
Best match
14–7 · 1.50
Inferno · peak rating
Matches analysed
4 · 0.80 avg
our demo parsing
Leetify games
30
tracked history
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.87 · Weak
HS % 53.0% · Normal
Spray Control 54.4 · Weak
Preaim 8.3° · Normal
CS2 Hours
2,801h
plausible
Account Age
4y
4 months
Steam Level
10
Bans
0
clean
Games
30
3,134h total
Friends
28
Country
RSRS
most common in friends list
TeamDocks Rating
37
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
37
our skill index
Ø Rating
0.8
Ø K/D
0.87
Ø ADR
56
Ø KAST
65.4%
Ø HS
53%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
7.9%
Ø Kill Distance
17.6m
Duel & utility signals
Opening Duel Win
41.2%
7–10 openings
Trade Kills
4
teammate deaths avenged
Ø Utility Dmg
3
HE + molotov, per match
Ø Equip Value
$3,655
post-buy, per round
Full-buy Win
33.3%
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.

37
050100
Impact Rating20ADR23KAST44K/D23Headshot %66Spray Control54Counter-Strafe81Flash Quality14
Counter-Strafe 81
10% weight +7.7
KAST 65.4%
14% weight +6.3
Spray Control 54.4
11% weight +6.2
Impact Rating 0.8
27% weight +5.3
Headshot % 53%
8% weight +5.0
ADR 56
14% weight +3.3
K/D 0.87
11% weight +2.6
Flash Quality 14%
5% weight +0.7

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.