Should your P2E game run on its own chain? A technical comparison
Choosing whether a P2E game should run on its own chain is not a simple prestige play. The useful question is whether the game needs control over execution, fees, settlement and upgrades that a shared Ethereum layer 2 cannot provide. If assets mainly need to move between popular wallets and markets, an existing network may be the stronger starting point.
For Australian players, architecture becomes tangible in Australian dollars, network latency and custody. A gamer in Sydney or Melbourne paying a volatile gas fee cares whether the charge is fair dinkum, the transaction settles quickly, and rewards can be sold through an AUSTRAC-registered exchange without friction. Regional users on fixed-line connections and congested mobile networks add another constraint. The chain must meet those realities, not merely look impressive in a pitch deck.
Start with the problem, not the chain
A shared Ethereum layer 2 provides mature tooling, pooled liquidity and familiar wallet support. The game team controls its contracts, but it does not control the sequencer, base fee market or upgrade calendar. That dependence is acceptable when the game mainly needs token transfers and occasional asset trades.
A dedicated appchain adds control over fees, throughput and the execution environment while retaining a managed validator or rollup model. A fully sovereign chain goes further, giving the team authority over consensus, governance and software releases. Background on how these layers fit together can be found in this Inco ecosystem overview.
Put the reward loop under pressure
P2E economies mint, burn, bridge and distribute assets throughout the day. High-frequency battles, on-chain auctions and reward claims can make fees a material part of expected earnings. A game-specific chain can subsidise gas, schedule settlement around peak periods or design custom fee rules. It can also reduce competition from generalised MEV extraction.
Those gains carry a security budget. Maintaining validators, RPC infrastructure, monitoring and incident response costs more than deploying contracts, and a lightly funded chain may have fewer independent operators than a major layer 2. For an Australian studio, tax treatment also needs a place in the model: the ATO generally does not apply GST to NFTs treated as collectibles, but a token marketed as payment or investment can change that treatment. Architecture and compliance should be costed together.
Compare ownership models
The labels are often blurred, so compare control rather than branding. An appchain is usually a shared validator network with a game-specific execution layer; a sovereign chain has its own consensus and economic parameters. The practical difference is how much responsibility your team accepts for uptime, upgrades, liquidity and security.
| Factor | Shared layer 2 | Appchain | Sovereign game chain |
|---|---|---|---|
| Control | Ecosystem-managed | Game-specific | Fully controlled |
| Fees | Market-wide | Game-set policies | Fully custom |
| Performance | Shared capacity | Dedicated capacity | Dedicated capacity |
| Security | Large shared pool | Operator-dependent | Team-funded |
| Interoperability | Existing liquidity pools | Bridge-dependent | Bridge-dependent |
| Operations | Contract deployment | Validator management | Consensus and validators |
Appchains usually offer the best balance for a first release because teams can select familiar infrastructure without surrendering control of game rules. A sovereign chain makes sense when predictable performance, unusual economics or autonomous governance justify a larger operational commitment. It is rarely justified by the phrase “own blockchain” alone.
Secure the bridges and wallets
Interoperability is where many dedicated-chain plans become fragile. Wrapped assets depend on the bridge, while canonical bridges require each connected chain to accept the same settlement rules. A compromised relayer, weak key management or incorrect upgrade can freeze rewards even when the game chain remains healthy. The Web3 versus Web2 comparison is useful here: removing custodians increases control, but it also moves recovery and validation work to players.
Threat modelling must cover wallet permissions, session keys, mint contracts, oracle feeds and bridge signers. Reward tokens should use multisignature administration, timelocks and carefully bounded minting rather than unrestricted hot-wallet keys. Publish incident procedures, rotate keys regularly and test whether a player can recover a lost seed phrase or compromised device without relying on a Discord administrator.
Keep the player journey practical
Australian gamers often encounter blockchain games on a phone first, with a wallet layered over a familiar game login. That makes onboarding, recovery and small AUD purchases more important than raw benchmark numbers. Metro players may enjoy sub-second finality on fibre, while users in regional Australia can face different latency and mobile-data costs. A game should display expected waiting times and fees before confirmation.
Rewards also need a realistic route to cash without encouraging reckless behaviour. Clear AUD pricing, exchange partners and withdrawal estimates reduce confusion, while a visible licence check helps users distinguish AUSTRAC-registered providers from lookalike scams. Progression design matters too: this collection of rogue-like NFT progression games illustrates how permanent upgrades can support long-term play, although ownership should never be the only form of progression.
Decide with measurable thresholds
Use a weighted scorecard covering five operational questions: who controls upgrades, what a successful transaction costs, how assets enter and leave, who funds security, and which failure modes stop rewards. Include developer time as well as infrastructure. A dedicated chain that saves 30 per cent on gas but adds six months of validator operations may be a poor trade for a small team.
Before committing, run the same battle and reward-claim sequence on the proposed shared layer 2 and appchain. Measure p95 confirmation time, fee per 1,000 actions, peak throughput, bridge latency, failed transactions and the time required to rotate a compromised key. Avoid vanity metrics such as theoretical transactions per second; use behaviour from the actual game client.
The concrete next step is to produce a one-page chain decision memo with those benchmarks, a three-year operating budget and explicit thresholds for choosing either the shared layer 2 or a dedicated chain.