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A Digit Rabbits leaderboard analysis
Dive into the onchain analysis of Digit Rabbits first season.
First off, thanks to everyone who jumped into the Digit Rabbits universe when our website went live. We did our best to create a unique experience that lets you explore what life looks like on the Digit Rabbits world.
1) Global Statistics
The main goal was onboarding people to the MegaETH chain and showcasing its speed through our clicker game.
696 people played the game, with an average score of 106 clicks per game. Our players racked up an insane 2.19M clicks total - a crazy number that shows just how dedicated the Rabbitio community is to the MegaETH ecosystem.
2) Game Mechanics
The concept is simple: 1 minute to click the rabbit’s head as fast as possible to rack up Rabbit Points.
Each game lasts one minute and there is a 2-hours cooldown between games.
1 click = 1 transaction on the @megaeth testnet.
Our game has been designed to show the capabilities of MegaETH.
In addition, we designed a shop where users can customize their Digital Rabbit and get bonus multipliers.
976 items were purchased, which shows the system was pretty well balanced between clicks and items bought.
3) Metrics Used
During the first season, players could check their position on the leaderboard. Here are the metrics we used to calculate the final ranking:
- Streak: We consider streak the main metric showing a player's consistency
- Rabbit Points: The more you click, the more Rabbit Points you accumulate
- Total Clicks: This metric plays a big role too (we'll dive into the exact formula later)
- Items: Items bought show real dedication to the game's economy. Players who bought items had to spend Rabbit Points to get good multipliers, which is why we chose this metric
- Best clicks in a game: This is our last metric for the final leaderboard ranking, because Digit Rabbits wants to showcase MegaETH speed in every possible way
4) Issues and Player Feedback
During the competition, we tracked every issue and took all feedback into account.
Let's break down each category and explain the tradeoffs we made to be as fair as possible.
Botting
We saw users like @0xRavenium doing everything possible to be competitive, even creating bots to send as many transactions as they could in a single game.
The cool thing is he even wrote an article about it to showcase MegaETH's speed - and that's exactly why we made our first game a clicker: onboarding users to the MegaETH network and letting them discover how fast the chain is.
The results are impressive: 1,060 clicks in 60 seconds
x.com/0xRavenium/sta…
Bonus Points
We decided to grant bonus points to users who already owned MegaETH NFTs (@badbunnz_ , @MegalioETH) to show our commitment to the ecosystem and give a small advantage to people already invested in it.
Top-tier NFT collections from other ecosystems were also eligible for this program. (Miladys, Chimpers, Pudgys, and more).
Three Different Leaderboards, But Duplicates
We displayed three different leaderboards at first to reward each category fairly : Rabbit Points, Total Clicks and Items Bought.
But we quickly noticed that the most active users appeared on all of them. This created duplicates, and our goal wasn’t to reward the same players multiple times.
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