76561198116402708

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76561198116402708

nuke
cache
dust2
train
alpine
anubis
mirage
warden
ancient
inferno
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
75
TeamDocks
our rating
93
Aim
leetify
57
Positioning
leetify
61
Utility
leetify
Best match
17–11 · 1.61
Mirage · peak rating
Matches analysed
3 · 1.41 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.30 · Normal
HS % 55.0% · Normal
Spray Control 65.5 · Normal
Preaim 9.0° · Normal
Counter-Strafing 88.9% · Normal
Time to Damage 599ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
75
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
75
our skill index
Ø Rating
1.41
Ø K/D
1.3
Ø ADR
99
Ø KAST
78.6%
Ø HS
55%
Kill-level signals
Wallbang Kills
4.8%
Smoke Kills
4.8%
Ø Kill Distance
21.5m
Duel & utility signals
Opening Duel Win
52.2%
12–11 openings
Trade Kills
5
teammate deaths avenged
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
0.3
HE + molotov, per match
Ø Equip Value
$4,274
post-buy, per round
Full-buy Win
70%
rounds won on a full buy
military_tech

TeamDocks Rating

3 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 3 analyzed matches. Firms up as more of this player's games get processed.

75
050100
Impact Rating81ADR84KAST82K/D58Headshot %70Spray Control66Counter-Strafe89Flash Quality30
Impact Rating 1.41
27% weight +21.6
ADR 99
14% weight +12.0
KAST 78.6%
14% weight +11.7
Counter-Strafe 89
10% weight +8.5
Spray Control 65.5
11% weight +7.5
K/D 1.3
11% weight +6.6
Headshot % 55%
8% weight +5.3
Flash Quality 30%
5% weight +1.4

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.