76561199169845830

nuke
cache
dust2
train
anubis
mirage
ancient
inferno
vertigo
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
51
TeamDocks
our rating
89
Aim
leetify
44
Positioning
leetify
66
Utility
leetify
Best match
26–12 · 1.62
Mirage · peak rating
Matches analysed
3 · 1.04 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.19 · Normal
HS % 39.6% · Weak
Spray Control 67.9 · Normal
Preaim 6.7° · Normal
Counter-Strafing 86.8% · Normal
Time to Damage 560ms · Normal
CS2 Hours
private
Account Age
5y
2 months
Steam Level
23
Bans
0
clean
Games
private
Friends
private
Country
USUS
TeamDocks Rating
51
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
51
our skill index
Ø Rating
1.04
Ø K/D
1.19
Ø ADR
77.3
Ø KAST
63.3%
Ø HS
39.6%
Kill-level signals
Wallbang Kills
4.1%
Smoke Kills
4.1%
Ø Kill Distance
24.8m
Duel & utility signals
Opening Duel Win
70%
7–3 openings
Trade Kills
11
teammate deaths avenged
Clutch Win
27.3%
3/11 1vX won
Ø Utility Dmg
34.3
HE + molotov, per match
Ø Equip Value
$3,942
post-buy, per round
Full-buy Win
60.5%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

51
050100
Impact Rating44ADR53KAST38K/D49Headshot %39Spray Control68Counter-Strafe92Flash Quality34
Impact Rating 1.04
27% weight +11.7
Counter-Strafe 92
10% weight +8.8
Spray Control 67.9
11% weight +7.8
ADR 77.3
14% weight +7.6
K/D 1.19
11% weight +5.6
KAST 63.3%
14% weight +5.4
Headshot % 39.6%
8% weight +3.0
Flash Quality 34%
5% weight +1.6

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.