insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
63
TeamDocks
our rating
Best match
20–8 · 1.98
Ancient · peak rating
Matches analysed
7 · 1.31 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.39 · Normal
HS % 39.7% · Weak
Spray Control 58.1 · Normal
Preaim 9.2° · Normal
CS2 Hours
private
Account Age
11y
9 months
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
ESES
TeamDocks Rating
63
7 matches with us
database

TeamDocks Match Data

7 matches · our own demo analysis
Performance
TD Rating
63
our skill index
Ø Rating
1.31
Ø K/D
1.39
Ø ADR
89.1
Ø KAST
74.1%
Ø HS
39.7%
Kill-level signals
Wallbang Kills
2.3%
Smoke Kills
7.8%
Ø Kill Distance
18.8m
Duel & utility signals
Opening Duel Win
50%
14–14 openings
Trade Kills
14
teammate deaths avenged
Clutch Win
16.7%
1/6 1vX won
Ø Utility Dmg
61
HE + molotov, per match
Flash Assists
2
enemies blinded → team frag
Ø Equip Value
$3,898
post-buy, per round
Full-buy Win
63.6%
rounds won on a full buy
military_tech

TeamDocks Rating

7 matches · medium confidence

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.

Weighted across 8 measured dimensions; weights renormalize over whatever data we have.

63
050100
Impact Rating71ADR70KAST69K/D66Headshot %39Spray Control58Counter-Strafe62Flash Quality30
Impact Rating 1.31
27% weight +18.9
ADR 89.1
14% weight +10.0
KAST 74.1%
14% weight +9.9
K/D 1.39
11% weight +7.5
Spray Control 58.1
11% weight +6.6
Counter-Strafe 62
10% weight +5.9
Headshot % 39.7%
8% weight +3.0
Flash Quality 30%
5% weight +1.4

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.