juan roberto carlos raul esteban

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76561198019762834

nuke
italy
cache
dust2
grail
mills
thera
train
office
anubis
basalt
mirage
shelter
ancient
inferno
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
57
TeamDocks
our rating
86
Aim
leetify
56
Positioning
leetify
71
Utility
leetify
Best match
16–14 · 1.26
Cache · peak rating
Matches analysed
4 · 1.13 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.94 · Normal
HS % 46.1% · Normal
Spray Control 65.8 · Normal
Preaim 8.7° · Normal
Counter-Strafing 76.8% · Normal
Time to Damage 556ms · Normal
CS2 Hours
5,897h
plausible
Account Age
16y
6 months
Steam Level
26
Bans
0
clean
Games
129
10,076h total
Friends
private
Country
FIFI
TeamDocks Rating
57
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
57
our skill index
Ø Rating
1.13
Ø K/D
0.94
Ø ADR
85.7
Ø KAST
75.1%
Ø HS
46.1%
Kill-level signals
Wallbang Kills
1.7%
Smoke Kills
5.1%
Ø Kill Distance
20.3m
Duel & utility signals
Ø Utility Dmg
42.8
HE + molotov, per match
Ø Equip Value
$3,858
post-buy, per round
Full-buy Win
76.9%
rounds won on a full buy
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.

57
050100
Impact Rating53ADR65KAST72K/D28Headshot %52Spray Control66Counter-Strafe80Flash Quality27
Impact Rating 1.13
27% weight +14.1
KAST 75.1%
14% weight +10.3
ADR 85.7
14% weight +9.3
Counter-Strafe 80
10% weight +7.6
Spray Control 65.8
11% weight +7.5
Headshot % 46.1%
8% weight +4.0
K/D 0.94
11% weight +3.2
Flash Quality 27%
5% weight +1.3

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.