I put the REAL in GORILLA

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76561197998920236

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Trusted
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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
46
TeamDocks
our rating
40
Aim
leetify
55
Positioning
leetify
68
Utility
leetify
Best match
22–20 · 1.19
Inferno · peak rating
Matches analysed
2 · 0.99 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.87 · Weak
HS % 49.5% · Normal
Spray Control 56.1 · Normal
Preaim 7.8° · Normal
Counter-Strafing 64.1% · Weak
Time to Damage 605ms · Normal
CS2 Hours
private
Account Age
18y
2 months
Steam Level
14
Bans
0
clean
Games
private
Friends
62
Country
FRFR
TeamDocks Rating
46
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
46
our skill index
Ø Rating
0.99
Ø K/D
0.87
Ø ADR
77.9
Ø KAST
63.9%
Ø HS
49.5%
Kill-level signals
Wallbang Kills
3.2%
Smoke Kills
3.2%
Ø Kill Distance
18.8m
Duel & utility signals
Clutch Win
0%
0/9 1vX won
Ø Utility Dmg
29
HE + molotov, per match
Ø Equip Value
$3,452
post-buy, per round
Full-buy Win
41.7%
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.

46
050100
Impact Rating39ADR54KAST40K/D23Headshot %59Spray Control56Counter-Strafe84Flash Quality21
Impact Rating 0.99
27% weight +10.4
Counter-Strafe 84
10% weight +8.0
ADR 77.9
14% weight +7.7
Spray Control 56.1
11% weight +6.4
KAST 63.9%
14% weight +5.7
Headshot % 49.5%
8% weight +4.5
K/D 0.87
11% weight +2.6
Flash Quality 21%
5% weight +1.0

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.