76561197997003755

nuke
italy
cache
train
anubis
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
56
TeamDocks
our rating
75
Aim
leetify
56
Positioning
leetify
54
Utility
leetify
Best match
16–8 · 1.66
Inferno · peak rating
Matches analysed
4 · 1.11 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.08 · Normal
HS % 39.4% · Weak
Spray Control 61.8 · Normal
Preaim 7.2° · Normal
Counter-Strafing 77.9% · Normal
Time to Damage 576ms · Normal
CS2 Hours
private
Account Age
18y
5 months
Steam Level
32
Bans
0
clean
Games
private
Friends
private
Country
DEDE
TeamDocks Rating
56
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
56
our skill index
Ø Rating
1.11
Ø K/D
1.08
Ø ADR
69.4
Ø KAST
80.1%
Ø HS
39.4%
Kill-level signals
Wallbang Kills
2%
Smoke Kills
8%
Ø Kill Distance
22.5m
Duel & utility signals
Opening Duel Win
46.2%
6–7 openings
Trade Kills
11
teammate deaths avenged
Clutch Win
42.9%
3/7 1vX won
Ø Utility Dmg
73.8
HE + molotov, per match
Ø Equip Value
$4,071
post-buy, per round
Full-buy Win
64.2%
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.

56
050100
Impact Rating51ADR42KAST86K/D40Headshot %39Spray Control62Counter-Strafe90Flash Quality18
Impact Rating 1.11
27% weight +13.6
KAST 80.1%
14% weight +12.3
Counter-Strafe 90
10% weight +8.6
Spray Control 61.8
11% weight +7.1
ADR 69.4
14% weight +6.0
K/D 1.08
11% weight +4.6
Headshot % 39.4%
8% weight +3.0
Flash Quality 18%
5% weight +0.9

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.