76561197977287595

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76561197977287595

edin
nuke
italy
cache
dust2
grail
train
agency
alpine
office
anubis
basalt
golden
mirage
ancient
boulder
inferno
palacio
vertigo
fachwerk
overpass
stronghold
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
71
TeamDocks
our rating
52
Aim
leetify
57
Positioning
leetify
54
Utility
leetify
Best match
24–11 · 1.67
Anubis · peak rating
Matches analysed
3 · 1.36 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 1.49 · Normal
HS % 53.2% · Normal
Spray Control 63.0 · Normal
Preaim 7.0° · Normal
Counter-Strafing 63.1% · Weak
Time to Damage 563ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
71
3 matches with us
database

TeamDocks Match Data

3 matches · our own demo analysis
Performance
TD Rating
71
our skill index
Ø Rating
1.36
Ø K/D
1.49
Ø ADR
93.3
Ø KAST
76.4%
Ø HS
53.2%
Kill-level signals
Wallbang Kills
1.5%
Smoke Kills
4.6%
Ø Kill Distance
13.3m
Duel & utility signals
Clutch Win
9.1%
1/11 1vX won
Ø Utility Dmg
27.7
HE + molotov, per match
Ø Equip Value
$4,211
post-buy, per round
Full-buy Win
55.4%
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.

71
050100
Impact Rating76ADR76KAST75K/D74Headshot %66Spray Control63Counter-Strafe81Flash Quality17
Impact Rating 1.36
27% weight +20.3
ADR 93.3
14% weight +10.9
KAST 76.4%
14% weight +10.7
K/D 1.49
11% weight +8.5
Counter-Strafe 81
10% weight +7.7
Spray Control 63
11% weight +7.2
Headshot % 53.2%
8% weight +5.0
Flash Quality 17%
5% weight +0.8

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.