76561199242894111

jura
nuke
dust2
grail
train
agency
anubis
mirage
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
51
TeamDocks
our rating
73
Aim
leetify
47
Positioning
leetify
66
Utility
leetify
Best match
11–7 · 1.19
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 1.20 · Normal
HS % 40.6% · Normal
Spray Control 54.5 · Weak
Preaim 14.4° · Weak
Counter-Strafing 82.1% · Normal
Time to Damage 643ms · Weak
CS2 Hours
4,113h
plausible
Account Age
4y
5 months
Steam Level
27
Bans
0
clean
Games
15
5,020h total
Friends
75
Country
LTLT
most common in friends list
TeamDocks Rating
51
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
51
our skill index
Ø Rating
1.07
Ø K/D
1.2
Ø ADR
76.9
Ø KAST
65.6%
Ø HS
40.6%
Kill-level signals
Wallbang Kills
7.7%
Smoke Kills
3.8%
Ø Kill Distance
14.2m
Duel & utility signals
Ø Utility Dmg
56
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,896
post-buy, per round
Full-buy Win
40%
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.

51
050100
Impact Rating47ADR53KAST45K/D50Headshot %41Spray Control55Counter-Strafe76Flash Quality35
Impact Rating 1.07
27% weight +12.5
ADR 76.9
14% weight +7.6
Counter-Strafe 76
10% weight +7.2
KAST 65.6%
14% weight +6.4
Spray Control 54.5
11% weight +6.3
K/D 1.2
11% weight +5.7
Headshot % 40.6%
8% weight +3.1
Flash Quality 35%
5% weight +1.7

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.