Games we made
Back to top
Bagged Up
Bagged Up is a mobile-first game designed for sports fans who enjoy prediction challenges and casual competition. Built in Unity and released for both iOS and Android, it combines daily match-based gameplay with RPG-style progression. The project introduces cartoon-styled avatars, a dynamic leaderboard system, and a collectible card mechanic aimed at long-term engagement. Everything from feature planning to backend architecture and app store deployment was handled by the Game-Ace team.
Core Gameplay Mechanics
Players return each day to answer three prediction questions based on real sports events. The system awards points based on accuracy, feeding into a rotating leaderboard that resets weekly. Both daily and long-term achievements contribute to how users rank and progress.
Gameplay isn't based on luck alone. Skill and consistency shape the experience. Players move up in rank by predicting outcomes more accurately than others. Top performers earn card packs, coins, and cosmetics that tie directly into progression. Cards serve both as avatars and collectibles. Some offer visual flair, others represent rare status within the game's binder system.
The binder organizes unlocked and missing cards, motivating players to stay active and fill gaps in their collection. Combined with weekly cycles and short sessions, the system keeps the experience focused and approachable.
Distinctive Features of Bagged Up
Bagged Up comes with several integrated systems that work together to promote daily engagement, skill-based competition, and personalized rewards:
- Daily streak mode. New predictions appear every day, and players who keep showing up build a streak. The longer the streak, the higher their visibility on the leaderboard and the more valuable the rewards.
- Custom avatars. Avatars are unlocked through cards and change as players advance. Each new one adds character to a player's profile and helps personalize the experience as they move forward.
- Performance-based progression. Every point reflects the player's prediction accuracy. Consistent results lead to better ranks and open the door to premium rewards, keeping progress tied directly to skill.
- Collection binder. All collected cards are stored in a clear, visual binder. Players can easily see what they've unlocked and what's still missing, which supports collection goals and encourages regular play.
- Global rankings. Leaderboards are split into different categories based on play style and activity. Each one follows its own structure, giving players multiple ways to stand out no matter how they prefer to engage.
Game Screenshots
Technology Stack
Unity was selected for development to cover both iOS and Android with one codebase while also supporting fluid animations, responsive UI, and lightweight assets. The visual style leaned into stylized 2D effects and character animation for a friendly, casual look that works well across device types.
Firebase-powered real-time gameplay logic, while Cloud Functions ran backend rules for predictions and point calculations. Cloud Firestore stored current user picks, leaderboard states, and streak data.
PlayFab took care of backend player services. It handled logins, reward management, user inventory, and in-game currency tracking. PlayFab also helped capture analytics around player behavior, card pack openings, and economy usage.
Results
The project launched on time with all core gameplay systems in place. Both prediction mechanics and collection goals worked as intended, creating an engaging loop for short daily play sessions.
- Full daily prediction logic was implemented using real-world sports schedules and data.
- Firebase and PlayFab worked in tandem to support matchmaking, economy flow, and player history.
- UI and game visuals were tailored to mobile screens, giving users instant access to betting, card management, and rankings.
- Leaderboards reset weekly with clear incentives, increasing replays, and daily returns.
- Backend systems were structured to allow easy expansion to the web or new content types in future updates.