[UPDATE ⌛] Undertale: Heartbroken
A Roblox experience owned by TopHat Develops.
Fighting & PvPENUndertaleBullet HellFighting
Description (written by the developer; not a statement by this register)
"You feel like you've been here before, don't you?" Hey! I’m the dev behind this project. I wanted to make a classic Undertale fighter that actually feels like the original game—challenging, fast, and a bit intense. It’s still early days, but I’m working hard to make this the best Undertale experience on Roblox. What’s in it for you? Real Combat: No "pay-to-win" buttons. Just you, your Soul, and your ability to dodge. The Classics: Fight as Sans, Papyrus, and the rest of the underground crew. Your Choice: Every Char has a different playstyle. Find the one that fits your Determination. I’m always in the game testing things out. If you see me (TopHat), come say hi and tell me what skin I should add next! If you’re enjoying the vibe, a ⭐ Favorite really helps me out as a solo dev. Thanks for playing! Tags: Undertale, Sans, Fighting, PVP, Soul, Boss Fight, RPG, Bullet Hell, Classic, Heartbroken, TopHat, Toriel, Frisk, Flowey, Battle, Standoff, Game, Banana, Animations, Asriel..
Last updated by the developer 5 Apr 2026, 22:14 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 24 Aug 2026, 16:35 | 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.