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POL (ex-MATIC) vs Lombard Staked BTC Staking

Side-by-side comparison of POL and LBTC staking yields, risk, and key metrics. Updated every 4 hours.

POL (ex-MATIC)
POL (ex-MATIC)
POL
5.00%
APY
Lombard Staked BTC
Lombard Staked BTC
LBTC
2.02%
APY

Detailed comparison

Metric
POL (ex-MATIC) (POL)
Lombard Staked BTC (LBTC)
Staking APY
5.00%Winner
2.02%
Price
$0.08
$72.39K
Market Cap
$899.05MWinner
$749.74M
Total Staked
$275.28M
$745.22MWinner
Staking Ratio
30.0%
100.0%
Risk Level
lowWinner
medium
Staking Type
native
liquid
Blockchain
Polygon
Lombard Staked BTC
Min Stake
1 POL
None

POL (ex-MATIC) vs Lombard Staked BTC: which should you stake?

POL (ex-MATIC) currently offers the higher APY at 5.00% compared to Lombard Staked BTC's 2.02%. That's a 2.98 percentage point difference in annual yield.

In terms of market cap, POL (ex-MATIC) is the larger asset at $899.05M, which generally indicates more liquidity and lower volatility risk.

Both assets can be staked through various platforms and protocols. Consider diversifying across both rather than choosing one exclusively — this spreads your risk across different networks and ecosystems.

POL (ex-MATIC) vs Lombard Staked BTC — common questions

Is POL (ex-MATIC) or Lombard Staked BTC better for staking?

POL (ex-MATIC) currently offers a higher staking APY at 5.00% compared to Lombard Staked BTC's 2.02%. However, the best choice depends on your risk tolerance, investment horizon, and portfolio strategy.

What is the APY difference between POL (ex-MATIC) and Lombard Staked BTC?

POL (ex-MATIC) offers 5.00% APY while Lombard Staked BTC offers 2.02% APY — a difference of 2.98 percentage points.

Which is safer to stake: POL or LBTC?

POL (ex-MATIC) has a low risk rating while Lombard Staked BTC has a medium risk rating. Lower risk typically means a more established network with stronger validator infrastructure.

Can I stake both POL and LBTC?

Yes, diversifying across multiple staking assets is a common strategy. Staking both POL (ex-MATIC) and Lombard Staked BTC spreads your risk across different networks and protocols.

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