insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
58
TeamDocks
our rating
78
Aim
leetify
42
Positioning
leetify
78
Utility
leetify
Best match
19–16 · 1.34
Inferno · peak rating
Matches analysed
4 · 1.11 avg
our demo parsing
Leetify games
30
tracked history
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.94 · Normal
HS % 56.7% · Normal
Spray Control 66.5 · Normal
Preaim 6.2° · Normal
CS2 Hours
12,198h
plausible
Account Age
15y
8 months
Steam Level
39
Bans
0
clean
Games
102
13,916h total
Friends
99
Country
ESES
most common in friends list
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
1.11
Ø K/D
0.94
Ø ADR
83.3
Ø KAST
76.7%
Ø HS
56.7%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
3.7%
Ø Kill Distance
14.3m
Duel & utility signals
Opening Duel Win
50%
8–8 openings
Trade Kills
6
teammate deaths avenged
Ø Utility Dmg
164
HE + molotov, per match
Ø Equip Value
$2,732
post-buy, per round
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 Rating51ADR62KAST76K/D28Headshot %73Spray Control67Counter-Strafe74Flash Quality26
Impact Rating 1.11
27% weight +13.6
KAST 76.7%
14% weight +10.9
ADR 83.3
14% weight +8.9
Spray Control 66.5
11% weight +7.7
Counter-Strafe 74
10% weight +7.0
Headshot % 56.7%
8% weight +5.6
K/D 0.94
11% weight +3.2
Flash Quality 26%
5% weight +1.2

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.