Hiders vs Seekers
A Roblox experience owned by Hiders VS Seekers Studio.
Social & hangoutENhide-and-seekfreeze-tagcompetitive-multiplayer
Description (written by the developer; not a statement by this register)
🎭 Hiders vs Seekers 🏃♂️💨 Pick a side. Make your move. Don’t get caught. Every round is fast, intense, and unpredictable. As a Hider, you’ll need quick thinking and perfect timing to survive. As a Seeker, it’s your job to track everyone down before time runs out. 🧊 Freeze Tag Mode Seekers can freeze Hiders on the spot — but teammates can rush in for clutch saves! Stick together or risk getting locked in place… 👀 Classic Mode Hide smart. Run fast. Survive the clock. Or hunt down every last player and secure the win. 💥 Unlock Game-Changing Abilities Earn coins by playing and winning rounds, then spend them on powerful abilities: ⚡ Speed boosts 🛡 Defensive powers ❄ Freeze upgrades 🎯 Seeker boosts The right ability at the right time can flip the entire round. 💎 Awesome Game Passes Level up your experience with: ✨ Double XP 🔥 Seeker Boost 👑 VIP Perks 🎁 Starter & Pro Bundles 🏆 Win rounds, earn coins, unlock upgrades, and prove which side dominates.
Last updated by the developer 9 Aug 2026, 23:43 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 17 Aug 2026, 22:49 | 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.