insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
55
TeamDocks
our rating
59
Aim
leetify
45
Positioning
leetify
63
Utility
leetify
Best match
22–19 · 1.16
Ancient · peak rating
Matches analysed
2 · 1.07 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.05 · Normal
HS % 72.6% · Suspicious
Spray Control 72.0 · Slightly Sus
Preaim 11.4° · Weak
Counter-Strafing 77.4% · Normal
Time to Damage 728ms · Weak
CS2 Hours
1,293h
plausible
Account Age
19y
8 months
Steam Level
14
Bans
0
clean
Games
24
2,592h total
Friends
86
Country
CZCZ
TeamDocks Rating
55
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
55
our skill index
Ø Rating
1.07
Ø K/D
1.05
Ø ADR
70
Ø KAST
69.9%
Ø HS
72.6%
Kill-level signals
Wallbang Kills
5.1%
Smoke Kills
5.1%
Ø Kill Distance
19.7m
Duel & utility signals
Ø Utility Dmg
141
HE + molotov, per match
Ø Equip Value
$4,486
post-buy, per round
Full-buy Win
59.1%
rounds won on a full buy
military_tech

TeamDocks Rating

2 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 2 analyzed matches. Firms up as more of this player's games get processed.

55
050100
Impact Rating47ADR43KAST57K/D38Headshot %100Spray Control72Counter-Strafe68Flash Quality32
Impact Rating 1.07
27% weight +12.5
Spray Control 72
11% weight +8.2
KAST 69.9%
14% weight +8.1
Headshot % 72.6%
8% weight +7.6
Counter-Strafe 68
10% weight +6.5
ADR 70
14% weight +6.1
K/D 1.05
11% weight +4.3
Flash Quality 32%
5% weight +1.5

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.