bOS v3.0 — Multi-Mode Gaming Platform

The Complete Game Modes Design Document

Version: 3.0 | Last Updated: January 2026 | Status: Design Phase Vision: One Platform, Multiple Ways to Play — Fantasy, Props, Trading, and Pools

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Table of Contents

Overview

1. Introduction
2. The Multi-Mode Philosophy
3. Unified Platform Architecture

Game Modes

4. Classic Fantasy
5. Player Props
6. Live Trading
7. Prediction Pools

Technical Design

8. Game Mode Engine Architecture
9. Market Making & Liquidity
10. Settlement & Payouts

Implementation

11. Phased Rollout Plan
12. Risk Management
13. Regulatory Considerations

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1. Introduction

1.1 The Evolution of Fantasy Gaming

bOS v3.0 introduces a revolutionary multi-mode gaming platform that goes beyond traditional fantasy sports. Instead of offering just one way to engage with sports, we provide four distinct game modes that cater to different player preferences, skill levels, and engagement styles.

1.2 Why Multiple Game Modes?

Benefit	Description
User Choice	Different users prefer different engagement styles
Higher LTV	More ways to play = more time on platform = higher lifetime value
Cross-Selling	Fantasy users discover props, casual users try trading
Risk Diversification	Not dependent on single game mode succeeding
Unique Positioning	No competitor offers all four modes in one platform
Continuous Engagement	Pre-match: Fantasy + Props. During match: Trading. Post-match: All settle

1.3 The Four Game Modes at a Glance

Mode	Description	Complexity	Engagement Window	Payout Model
Classic Fantasy	Pick team, earn points, compete in pools	Medium	Pre-match only	Rank-based prize pool
Player Props	Over/under predictions on player stats	Low	Pre-match only	Fixed multiplier (3x-25x)
Live Trading	Buy/sell outcome shares in real-time	High	Before + during match	Market-based (buy low, sell high)
Prediction Pools	Pick outcomes, crowd-set odds	Low	Pre-match only	Parimutuel (pool-based)

---

2. The Multi-Mode Philosophy

2.1 One Match, Many Ways to Play

For any given match (e.g., MI vs CSK), users see a unified interface with all available game modes:

┌─────────────────────────────────────────────────────────────────┐
│                  MI vs CSK — Starts in 2 hours                  │
│                     Your Balance: 150 USDT                      │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐  │
│  │ CLASSIC FANTASY │  │  PLAYER PROPS   │  │  LIVE TRADING   │  │
│  │    ━━━━━━━━     │  │    ━━━━━━━━     │  │    ━━━━━━━━     │  │
│  │                 │  │                 │  │                 │  │
│  │  Pick 11        │  │  Over/Under     │  │  Buy/Sell       │  │
│  │  Earn Points    │  │  Quick Picks    │  │  Real-Time      │  │
│  │  Win Pool       │  │  Up to 25x      │  │  Dynamic Odds   │  │
│  │                 │  │                 │  │                 │  │
│  │  15 contests    │  │  24 props       │  │  Opens at toss  │  │
│  │  [Enter]        │  │  [Pick]         │  │  [Preview]      │  │
│  └─────────────────┘  └─────────────────┘  └─────────────────┘  │
│                                                                 │
│  ┌─────────────────┐  ┌─────────────────┐                       │
│  │ PREDICTION POOL │  │  HEAD-TO-HEAD   │                       │
│  │    ━━━━━━━━     │  │    ━━━━━━━━     │                       │
│  │                 │  │                 │                       │

## 2.3 Cross-Mode Engagement Strategy

Users are encouraged to try multiple modes through:

1. **Progressive Disclosure** — New users start with Fantasy or Props, unlock Trading after engagement milestones
2. **Cross-Mode Bonuses** — "Play 3 modes this match, get 5% bonus on winnings"
3. **Unified Leaderboards** — "Top earner across all modes this week"
4. **Mode-Specific Tutorials** — Interactive guides for each game mode

---

# 3. Unified Platform Architecture

## 3.1 Shared Infrastructure

All game modes share core platform components:

```mermaid
flowchart TB
    subgraph UserInterface[User Interface Layer]
        TMA[Telegram Mini App]
        Web[Web Dashboard]
        API[Public API]
    end

    subgraph GameModes[Game Mode Engines]
        FE[Fantasy Engine]
        PE[Props Engine]
        TE[Trading Engine]
        PoolE[Pool Engine]
    end

    subgraph SharedCore[Shared Core Services]
        Athletes[Athlete Database]
        Events[Live Event Feed]
        Scoring[Scoring Engine]
        Wallet[Wallet Service]
        Agent[Agent Commission]
    end

    subgraph Settlement[Settlement Layer]
        USDT[USDT Payments]
        Escrow[Escrow Service]
        Payout[Payout Engine]
    end

    TMA --> FE & PE & TE & PoolE
    Web --> FE & PE & TE & PoolE
    API --> FE & PE & TE & PoolE

    FE --> Athletes & Events & Scoring & Wallet
    PE --> Athletes & Events & Wallet
    TE --> Athletes & Events & Wallet
    PoolE --> Athletes & Events & Wallet

    Wallet --> USDT & Escrow
    Scoring --> Payout
    FE & PE & TE & PoolE --> Agent

3.2 Shared Data Model

All modes reference the same core entities:

Entity	Description	Used By
Match	A sporting event with teams/players	All modes
Athlete	Individual player with stats	All modes
User	Platform user with wallet	All modes
Agent	Referral partner earning commission	All modes
Event	Real-time match event (run, wicket, goal)	Fantasy, Trading, Props

3.3 Mode-Specific Data

Each mode has additional entities:

Mode	Specific Entities
Fantasy	Contest, Entry, Team, Roster, Leaderboard
Props	PropLine, Pick, Slip, Outcome
Trading	Market, Share, Position, Trade, OrderBook
Pools	Pool, Prediction, Stake, PayoutTable

---

4. Classic Fantasy

4.1 Overview

Classic Fantasy is the traditional DFS (Daily Fantasy Sports) experience familiar to Dream11 and DraftKings users. Players select a team of athletes within a salary cap and earn points based on real-world performance.

Key Characteristics:

• Pre-match team selection only (no changes after lock)
• Points accumulate based on athlete performance
• Compete in pools with other players
• Rank-based prize distribution

4.2 User Flow

4.3 Contest Types

Type	Description	Entry Range	Pool Size
Mega Pool	Platform-wide, networked across agents	5-50 USDT	5,000-50,000 players
Agent Pool	Single agent's players only	1-100 USDT	50-500 players
Head-to-Head	1v1 against another player	5-1000 USDT	2 players
Private League	Invite-only friends group	5-100 USDT	3-20 players
Guaranteed	Fixed prize regardless of entries	10-100 USDT	Guaranteed by platform

4.4 Scoring System

Scoring is sport-agnostic and config-driven. Example for Cricket T20:

Action	Points
Run scored	+1
Boundary (4)	+1 bonus
Six	+2 bonus
Half-century (50)	+8 bonus
Century (100)	+16 bonus
Wicket taken	+25
Maiden over	+12
Catch taken	+8
Run out (direct)	+12
Captain bonus	2x points
Vice-Captain bonus	1.5x points

4.5 Prize Distribution

Standard prize structure for a 1000-player contest:

Rank	Prize (% of pool)
1st	15%
2nd	8%
3rd	5%
4th-10th	2% each (14% total)
11th-50th	0.5% each (20% total)
51st-200th	0.15% each (22.5% total)
Total Distributed	84.5%
Platform Rake	15.5%

---

5. Player Props

5.1 Overview

Player Props offer a simplified prediction experience where users pick over/under on specific player statistics. This mode is inspired by PrizePicks and Underdog Fantasy — both valued at $1B+ in the US market.

Key Characteristics:

• Binary decisions (OVER or UNDER)
• Fixed multiplier payouts (not pool-based)
• Combine multiple picks for higher multipliers
• Quick, low-friction experience

5.2 User Flow

PLAYER PROPS — MI vs CSK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Build your slip (pick 2-6 props):

┌─────────────────────────────────────────────────┐
│ Rohit Sharma — Runs                             │
│ Line: 32.5                                      │
│                                                 │
│     [OVER]              [UNDER]                 │
│                                                 │
│ Last 5 matches: 45, 28, 67, 31, 52              │
│ vs CSK average: 38.2                            │
└─────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────┐
│ Jasprit Bumrah — Wickets                        │
│ Line: 1.5                                       │
│                                                 │
│     [OVER]              [UNDER]                 │
│                                                 │
│ Last 5 matches: 2, 1, 3, 0, 2                   │
│ vs CSK average: 1.8                             │
└─────────────────────────────────────────────────┘

YOUR SLIP:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Rohit Sharma Runs OVER 32.5
✓ Bumrah Wickets OVER 1.5
○ Pick 1 more for 3-pick payout...

Entry Amount: [10] USDT

PAYOUT TABLE:
┌────────────────────────────────────┐
│ 2 correct = 3x    (30 USDT)       │
│ 3 correct = 6x    (60 USDT)       │
│ 4 correct = 10x   (100 USDT)      │
│ 5 correct = 20x   (200 USDT)      │
│ 6 correct = 25x   (250 USDT)      │
└────────────────────────────────────┘

[Lock Picks]

5.3 Prop Types

Category	Example Props
Batting	Runs, Boundaries, Strike Rate, Balls Faced
Bowling	Wickets, Economy Rate, Dot Balls, Maidens
Fielding	Catches, Run Outs
Team	Total Runs, Total Sixes, Highest Individual Score
Match	Winner, Margin, First Innings Score

5.4 Line Setting

Lines are set by the platform using:

1. Historical data — Player's recent performance
2. Matchup data — Performance against specific opponent
3. Venue data — Ground-specific statistics
4. Conditions — Pitch report, weather
5. Balancing — Adjust based on early pick distribution

5.5 Payout Structure

Picks	All Correct Payout	Risk Level
2	3x	Low
3	6x	Low-Medium
4	10x	Medium
5	20x	High
6	25x	Very High

Insurance Option: For 20% higher entry, get 1 "miss" forgiven (e.g., 4/5 correct still pays).

---

6. Live Trading

6.1 Overview

Live Trading brings prediction market mechanics to sports, allowing users to buy and sell outcome shares in real-time as matches unfold. Inspired by Polymarket and Kalshi, this mode offers the highest engagement but also the highest complexity.

Key Characteristics:

• Continuous trading before and during matches
• Prices reflect real-time probability
• Buy low, sell high (or hold to settlement)
• Most engaging during live action

6.2 Market Structure

Each market represents a binary outcome question:

MARKET: Will Rohit Sharma score 50+ runs?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Current State:
┌────────────────────────────────────────────────┐
│                                                │
│   YES  $0.42  ████████░░░░░░░  NO  $0.58      │
│                                                │
│   Buy YES = Bet Rohit scores 50+               │
│   Buy NO = Bet Rohit doesn't score 50+         │
│                                                │
│   If YES wins: Each YES share pays $1.00       │
│   If NO wins: Each NO share pays $1.00         │
│                                                │
└────────────────────────────────────────────────┘

Your Position: None

24h Volume: $12,450
Liquidity: $8,200

[Buy YES]  [Buy NO]

6.3 Price Mechanics

Prices are determined by an Automated Market Maker (AMM) using a constant product formula:

Price_YES = Reserve_NO / (Reserve_YES + Reserve_NO)
Price_NO = Reserve_YES / (Reserve_YES + Reserve_NO)

Always: Price_YES + Price_NO = $1.00

Example:

• Pool has 1000 YES shares and 1500 NO shares
• Price_YES = 1500 / 2500 = $0.60
• Price_NO = 1000 / 2500 = $0.40

When user buys YES:

• They add to NO reserve
• They remove from YES reserve
• Price_YES increases

6.4 Live Trading Flow

6.5 Market Types

Category	Example Markets
Match Outcome	Team A to win, Match to go to Super Over
Player Milestones	Player X scores 50+, Player Y takes 3+ wickets
Innings	First innings 180+, Powerplay 60+
Specific Events	First ball six, Hat-trick in match
Live Props	Next over 10+ runs, Wicket this over

6.6 Risk Controls

Control	Description
Position Limits	Max $500 per market per user
Market Limits	Max $50,000 total liquidity per market
Trading Halts	Pause during controversial events (DRS, rain)
Slippage Protection	Max 5% slippage per trade
Cooldowns	5-second minimum between trades

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7. Prediction Pools

7.1 Overview

Prediction Pools offer a parimutuel betting experience where users pick outcomes and odds are determined by the distribution of picks. The more people pick an outcome, the lower the payout.

Key Characteristics:

• Crowd-determined odds
• No "house edge" on odds
• Simple pick-and-play
• Social proof visible (see what others picked)

7.2 Pool Structure

PREDICTION POOL: Player of the Match
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Pool closes at toss | Current pool: 5,240 USDT

┌────────────────────────────────────────────────┐
│ Rohit Sharma     ████████████  $1,820  (35%)  │
│ If you pick: 2.9x payout                       │
├────────────────────────────────────────────────┤
│ Virat Kohli      ████████      $1,150  (22%)  │
│ If you pick: 4.5x payout                       │
├────────────────────────────────────────────────┤
│ Jasprit Bumrah   ██████        $890   (17%)   │
│ If you pick: 5.9x payout                       │
├────────────────────────────────────────────────┤
│ Ravindra Jadeja  ████          $680   (13%)   │
│ If you pick: 7.7x payout                       │
├────────────────────────────────────────────────┤
│ Other MI Players ██            $350   (7%)    │
│ If you pick: 14.3x payout                      │
├────────────────────────────────────────────────┤
│ CSK Players      ██            $350   (7%)    │
│ If you pick: 14.3x payout                      │
└────────────────────────────────────────────────┘

Your pick: [Rohit Sharma ▼]
Amount: [25] USDT

If Rohit wins POTM, you receive: ~72.5 USDT

[Join Pool]

7.3 Parimutuel Math

Pool mechanics:

1. All stakes go into a shared pool
2. Platform takes 15% rake
3. Remaining 85% distributed to winners proportionally

Payout calculation:

Your Payout = (Your Stake / Total Stake on Winner) × (Total Pool × 0.85)

Example:

• Total pool: 10,000 USDT
• You bet 100 USDT on Rohit
• Total on Rohit: 3,500 USDT
• Rohit wins POTM
• Your payout: (100 / 3500) × (10000 × 0.85) = 242.86 USDT

7.4 Pool Types

Pool Type	Question Format	Example
Player of Match	Who will be POTM?	Pick from 22 players
Top Scorer	Who scores most runs?	Pick from batting lineup
Top Bowler	Who takes most wickets?	Pick from bowling lineup
Winning Margin	By how many runs/wickets?	Ranges (1-10, 11-20, etc.)
First Event	What happens first?	Boundary, wicket, dot ball

---

8. Game Mode Engine Architecture

8.1 Engine Design

Each game mode has its own engine that plugs into the shared core:

8.2 Event Flow

All engines consume events from the shared Kafka stream:

Event	Fantasy	Props	Trading	Pools
match.started	Lock entries	Lock slips	Open markets	Lock pools
ball.completed	Update scores	Check outcomes	Update prices	—
player.milestone	Bonus points	Resolve props	Settle markets	—
match.completed	Final settle	Final resolve	Close all	Settle pools

8.3 Technology Stack

Component	Technology	Justification
Fantasy Engine	TypeScript/Node.js	Existing expertise, good for I/O
Props Engine	TypeScript/Node.js	Simple logic, fast development
Trading Engine	Rust	Performance-critical, needs <10ms latency
Pool Engine	TypeScript/Node.js	Simple math, low complexity
Event Stream	Apache Kafka	Proven at scale, ordered delivery
Cache	Redis	Sub-ms reads for leaderboards/prices
Database	PostgreSQL	ACID compliance, complex queries

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9. Market Making & Liquidity

9.1 The Liquidity Challenge

Live Trading requires liquidity — someone must be on the other side of every trade. Options:

Approach	Pros	Cons
Order Book (User-to-User)	No platform risk, true market	Needs critical mass, cold start problem
AMM (Platform-Backed)	Always liquid, simple UX	Platform takes price risk
Hybrid	Balance of both	Complex to implement

Recommendation: Start with AMM for guaranteed liquidity, add order book features later.

9.2 AMM Design

We use a Constant Product Market Maker (CPMM) similar to Uniswap:

Invariant: x × y = k

Where:
- x = YES shares in pool
- y = NO shares in pool
- k = constant (until liquidity added/removed)

Initial Seeding:

• Platform seeds each market with $1,000 liquidity
• 500 YES + 500 NO shares (50/50 starting odds)
• Prices adjust as users trade

9.3 Platform Risk Management

Risk	Mitigation
Directional exposure	Limit total platform liability per market
Black swan events	Reserve fund for extreme payouts
Manipulation	Position limits, trade velocity limits
Oracle failures	Multiple data sources, manual override

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10. Settlement & Payouts

10.1 Settlement Triggers

Mode	Settlement Trigger	Settlement Time
Fantasy	Match completion	Within 5 minutes
Props	Individual stat finalized	Real-time as events occur
Trading	Market close (end of match/event)	Immediate
Pools	Outcome confirmed	Within 5 minutes

10.2 Payout Flow

10.3 Dispute Handling

Scenario	Resolution
Data feed error	Pause settlement, verify with backup sources
Match abandoned	Refund all entries/positions at original price
Player injury mid-match	Fantasy: points as-is. Props: refund if unresolved.
Controversial decision	Manual review, platform decision final

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11. Phased Rollout Plan

11.1 Phase Overview

11.2 Phase 1: Fantasy + Props (Weeks 1-10)

Deliverables:

• Classic Fantasy with networked pools
• Player Props with 2-6 pick slips
• Unified wallet and agent commission

Success Metrics:

• 1,000 daily active users
• 50 active agents
• $50,000 daily volume

11.3 Phase 2: Prediction Pools (Weeks 11-16)

Deliverables:

• Parimutuel pool engine
• 5+ pool types per match
• Real-time odds display

Success Metrics:

• 20% of users try pools
• $20,000 daily pool volume

11.4 Phase 3: Live Trading (Weeks 17-34)

Deliverables:

• AMM-based trading engine
• 10+ markets per match
• Real-time price feeds
• Position management UI

Success Metrics:

• $100,000 daily trading volume
• 500 active traders

---

12. Risk Management

12.1 Platform Risk Matrix

Risk	Likelihood	Impact	Mitigation
AMM losses	Medium	High	Position limits, reserve fund
Data feed failure	Low	High	Multiple providers, fallback
Regulatory action	Medium	Critical	Legal counsel, jurisdiction selection
Low liquidity	Medium	Medium	Platform seeding, incentives
Fraud/Collusion	Low	Medium	Velocity limits, ML detection

12.2 Financial Controls

Control	Description
Reserve Fund	10% of volume set aside for extreme events
Daily Limits	Max $100,000 platform exposure per day
User Limits	Max $10,000 per user per mode per day
Automatic Hedging	IBO integration for large exposures

---

13. Regulatory Considerations

13.1 Mode Classification

Mode	Likely Classification	Rationale
Classic Fantasy	Skill game	Established precedent (Dream11 ruling)
Player Props	Skill game / Gray area	Similar to fantasy, outcome-based
Live Trading	Prediction market / Securities	May need specific licensing
Prediction Pools	Parimutuel betting	Regulated in many jurisdictions

13.2 Jurisdiction Strategy

Jurisdiction	Fantasy	Props	Trading	Pools
India	✅ Legal	⚠️ Gray	❌ Likely not	⚠️ Gray
USA (most states)	✅ Legal	✅ Legal	⚠️ Varies	❌ Illegal
UK	✅ Legal	⚠️ Licensed	✅ Licensed	⚠️ Licensed
Philippines	✅ Legal	⚠️ Gray	⚠️ Gray	⚠️ Gray
Crypto-native	✅	✅	✅	✅

13.3 Compliance Approach

1. Geo-fencing — Restrict modes by user location
2. KYC tiers — Higher limits require more verification
3. USDT-only — Avoid fiat banking regulations
4. Skill classification — Emphasize skill elements in marketing
5. Legal counsel — Jurisdiction-specific legal review

---

Appendix A: Glossary

Term	Definition
AMM	Automated Market Maker — algorithm that provides liquidity
DFS	Daily Fantasy Sports
Parimutuel	Betting system where winners share the pool
Prop	Proposition bet on a specific outcome
Slip	Collection of picks that must all win
CPMM	Constant Product Market Maker (x × y = k)
Slippage	Difference between expected and executed price
Settlement	Process of determining winners and paying out

---

Appendix B: API Endpoints (Summary)

Fantasy

• POST /fantasy/contests — Create contest
• GET /fantasy/contests — List contests
• POST /fantasy/entries — Submit entry
• GET /fantasy/leaderboard/{contestId} — Get rankings

Props

• GET /props/lines — Get available prop lines
• POST /props/slips — Submit pick slip
• GET /props/slips/{id} — Check slip status

Trading

• GET /trading/markets — List active markets
• GET /trading/markets/{id} — Get market details
• POST /trading/trades — Execute trade
• GET /trading/positions — Get user positions

Pools

• GET /pools — List active pools
• GET /pools/{id} — Get pool details with odds
• POST /pools/predictions — Submit prediction

---

Document maintained by bOS Product Team. Last updated January 2026.

User Type	Primary Mode	Secondary Mode	Characteristics
Hardcore Fantasy	Classic Fantasy	Props	Deep sport knowledge, time to research
Casual Fan	Props	Prediction Pools	Quick decisions, low time investment
Trader/Crypto Native	Live Trading	Props	Active during matches, likes volatility
Social Player	Prediction Pools	Head-to-Head	Plays with friends, community-driven
High Roller	Classic Fantasy	Live Trading	Large stakes, seeks big prize pools