Offside Dream
— an AI-driven narrative football game where a 32-year-old office worker travels back to age 15 to relive her abandoned dream of becoming a women’s football player.
Trailor
1. Project Overview
In-Game Scenes
About the Story
You begin as an exhausted 32-year-old corporate worker. After a sudden accident, you wake up as your teenage self in a 2000s Chinese high school.
Weekly choices shape your football ability, mental health, academics, relationships, and reputation.
Multiple endings reflect your path: professional athlete, academic route, balanced success, or dream collapse.
About the Techs
Unity (C#): Implements the core gameplay loop, weekly actions, event flow, and UI logic.
LLM-based input analysis: AI evaluates the player’s written responses, detecting tone, intent, and emotional cues, to adjust relationship values and other stats.
AI event generator: Produces three context-dependent events each round that influence skills, stress, morale, and narrative direction.
8-stat gameplay framework: A custom system that drives branching paths, conflicts, and outcomes.
2. Game System Design
How Attributes Work
The game tracks 8 core attributes that shape every interaction and narrative branch: Stamina, Mental Health, Skill, Academics, Relationship, Team Morale, Public Opinion, and Return Risk.
Core Loop
Each round follows the same rhythm:
Weekly Random Events → Player Attributes Update → 3 Dialogues → Micro-Ending → Next Round
Actions include:
Study, Training, Rest, Bonding, Media Handling, Matches……
Every weekly AI event, and dialogue choice updates one or more attributes.
In turn, these attributes determine:
what events you can trigger
whether the team succeeds or fractures
how the media frames your story
which endings remain possible
When the Return risk reaches 50, the game automatically ends: you fail your football dream and return back to reality.
3. Story + Characters
The story takes place in a fictional 2000s third-tier Chinese city: grey concrete, faded school buildings, small shops, and a football field barely holding itself together. It’s nostalgic, warm… and painfully real.
4. AI-Narrative Engine
4.1 Event Generation
Each round includes three AI-generated “random events.”These combine:
your current stats
rule-based event pools
real-world milestones (e.g., 2008 Olympics)
4.2 Dialogue Generation
Players type directly into a textbox.The AI interprets tone and keywords, producing NPC responses that update relationship values. NPCs remember what you say, and change because of it.
4.3 Outcome Generation
At the end of each round, AI evaluates:stats + relationships + accumulated past events → produces a micro-ending → pushes the story toward different long-term outcomes.
5. Pixel Art & Style
6. Now & Future
Early Unity demo with 3 core modules: Random Event → Dialogue → Result Canvas.
Only Chapter 1 completed; later chapters in development.
Visual assets partly prototype; additional animations generated for mood only.
Currently being tested through interviews and survey scales to evaluate emotional impact and realism.
Continue to expand the full storyline into three major arcs: High School, University, Professional League.
Add complete gameplay loops: training sessions, matches, team management, media interactions.
Improve AI narrative consistency, emotion modeling, and long-term memory.
Optimize for performance and publish a fully playable version on Steam with save/load, achievements, and global reach.
