76561197961341966

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

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
62
TeamDocks
our rating
85
Aim
leetify
55
Positioning
leetify
66
Utility
leetify
Best match
13–10 · 1.21
Overpass · peak rating
Matches analysed
2 · 1.19 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.22 · Normal
HS % 52.9% · Normal
Spray Control 62.6 · Normal
Preaim 6.1° · Normal
Counter-Strafing 88.6% · Normal
Time to Damage 652ms · Weak
CS2 Hours
3,601h
plausible
Account Age
22y
10 months
Steam Level
14
Bans
0
clean
Games
28
6,960h total
Friends
46
Country
GBGB
most common in friends list
TeamDocks Rating
62
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
62
our skill index
Ø Rating
1.19
Ø K/D
1.22
Ø ADR
64.4
Ø KAST
83.9%
Ø HS
52.9%
Kill-level signals
Wallbang Kills
3.4%
Smoke Kills
0%
Ø Kill Distance
16.5m
Duel & utility signals
Ø Utility Dmg
9
HE + molotov, per match
Flash Assists
1
enemies blinded → team frag
Ø Equip Value
$3,924
post-buy, per round
Full-buy Win
78.6%
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.

62
050100
Impact Rating59ADR35KAST97K/D52Headshot %66Spray Control63Counter-Strafe87Flash Quality18
Impact Rating 1.19
27% weight +15.7
KAST 83.9%
14% weight +13.9
Counter-Strafe 87
10% weight +8.3
Spray Control 62.6
11% weight +7.2
K/D 1.22
11% weight +5.9
ADR 64.4
14% weight +5.0
Headshot % 52.9%
8% weight +5.0
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.