[InDev] Capybara Wars
A Roblox experience owned by 3 Good Bois.
Tower defenseENTower DefenseCapybaraPvP
Description (written by the developer; not a statement by this register)
Welcome to Capybara Wars, a Tower Defense game with a twist! HOW TO PLAY: Defend your Campfire from the Bears with unique Capybaras, each with their own special attacks & abilities! Select a Difficulty and Play! Many different maps to defend! Watch out for bosses with more health and abilities! Join the 3 Good Bois Community to unlock the [Rare] VIP Capybara! WAYS TO PLAY: 👬 Team up in Tower Defense or play Solo! ⚔️ Battle against other players! 📈 View your Match Statistics in the Main Menu! 📊 Collect Units with different rarities and abilities! 🎁 Roll new Units at the CapyCafe! ⏳ Stay tuned for limited-time Events and Units! RULES: 1) No exploiting, glitch-abusing, or scamming of any kind. 2) No bullying or harassing any player. 3) No asking for Admin or Moderator privileges. (You need to apply first) 4) Do NOT hold a Singleplayer Match place open. (these only hold 1 player) 5) HAVE FUN! Breaking 1 or more rules may result in a kick, ban, and/or removal from the Community.
Last updated by the developer 17 Jul 2026, 01:15 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 1 Sept 2026, 22:01 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.