76561199417857347

nuke
dust2
train
mirage
ancient
inferno
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
32
TeamDocks
our rating
73
Aim
leetify
42
Positioning
leetify
63
Utility
leetify
Best match
14–15 · 0.88
Nuke · peak rating
Matches analysed
2 · 0.72 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.79 · Weak
HS % 63.5% · Slightly Sus
Spray Control 71.2 · Slightly Sus
Preaim 16.0° · Weak
Counter-Strafing 80.0% · Normal
Time to Damage 629ms · Normal
CS2 Hours
988h
plausible
Account Age
3y
9 months
Steam Level
10
Bans
0
clean
Games
40
1,666h total
Friends
28
Country
GBGB
most common in friends list
TeamDocks Rating
32
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
32
our skill index
Ø Rating
0.72
Ø K/D
0.79
Ø ADR
61.3
Ø KAST
48.1%
Ø HS
63.5%
Kill-level signals
Wallbang Kills
4.3%
Smoke Kills
4.3%
Ø Kill Distance
22.1m
Duel & utility signals
Ø Utility Dmg
44.5
HE + molotov, per match
Ø Equip Value
$3,109
post-buy, per round
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.

32
050100
Impact Rating12ADR30KAST0K/D16Headshot %87Spray Control71Counter-Strafe71Flash Quality33
Spray Control 71.2
11% weight +8.1
Counter-Strafe 71
10% weight +6.8
Headshot % 63.5%
8% weight +6.6
ADR 61.3
14% weight +4.3
Impact Rating 0.72
27% weight +3.2
K/D 0.79
11% weight +1.8
Flash Quality 33%
5% weight +1.6
KAST 48.1%
14% weight +0.0

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.