76561198191210647

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76561198191210647

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Trusted
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Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
38
TeamDocks
our rating
85
Aim
leetify
59
Positioning
leetify
67
Utility
leetify
Best match
16–11 · 1.15
Cache · peak rating
Matches analysed
2 · 0.86 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.98 · Normal
HS % 30.6% · Weak
Spray Control 60.5 · Normal
Preaim 6.3° · Normal
Counter-Strafing 85.0% · Normal
Time to Damage 525ms · Normal
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
38
2 matches with us
database

TeamDocks Match Data

2 matches · our own demo analysis
Performance
TD Rating
38
our skill index
Ø Rating
0.86
Ø K/D
0.98
Ø ADR
62.5
Ø KAST
61%
Ø HS
30.6%
Kill-level signals
Wallbang Kills
0%
Smoke Kills
19.2%
Ø Kill Distance
20.8m
Duel & utility signals
Clutch Win
20%
1/5 1vX won
Ø Utility Dmg
48
HE + molotov, per match
Ø Equip Value
$3,485
post-buy, per round
Full-buy Win
61.5%
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.

38
050100
Impact Rating26ADR32KAST31K/D32Headshot %21Spray Control61Counter-Strafe86Flash Quality25
Counter-Strafe 86
10% weight +8.2
Spray Control 60.5
11% weight +7.0
Impact Rating 0.86
27% weight +6.9
ADR 62.5
14% weight +4.6
KAST 61%
14% weight +4.4
K/D 0.98
11% weight +3.7
Headshot % 30.6%
8% weight +1.6
Flash Quality 25%
5% weight +1.2

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.