# Warlands Financial Model

Blockchain-based competitive esports game (MOBA + Battle Royale hybrid) with a Play-to-Earn token economy and integrated NFT marketplace.

- Canonical: https://finamodel.com/startups/warlands
- Excel download: https://finamodel.com/startup-models/warlands.xlsx
- Category: Crypto/Web3
- Model type: SaaS ARR / Valuation
- Funding round: Seed

- Founded: 2021
- Geography: International; team references Brazil esports club acquisition and multilingual reach. [DECK]
- Customer: B2C

## About the company

Warlands is a competitive blockchain esports game blending MOBA and battle-royale gameplay with a play-to-earn economy. It combines tokens and an integrated NFT marketplace, while its broader monetisation plan includes subscriptions, entry fees, marketplace commissions, token fees, advertising, and tournament tickets.

The project has international ambitions, including references to a Brazilian esports-club acquisition and multilingual reach, but the research provides no operating history or disclosed funding. Its commercial performance therefore depends on whether competitive gameplay can attract and retain players beyond the initial token and collectible proposition.

Model active players, payer conversion, subscriptions, tournament participation, entry fees, NFT primary sales, marketplace GMV, and commission rate separately. Treat token rewards as an economic outflow, not ordinary cash revenue, and include development, esports operations, live service, community, and acquisition costs. Retention, tournament activity, NFT demand, take rate, token price, and release cadence should drive scenarios.

## What's included

- 5-year monthly revenue build with stage-appropriate growth assumptions
- Full P&L, headcount plan, and operating-expense schedule
- Cash-flow statement, runway, and burn-rate tracking
- Valuation via exit multiple with a DCF cross-check
- Returns analysis with MOIC and IRR
- Unit economics including CAC, LTV, payback, and cohort retention

## Product & value proposition

- Multiplatform (mobile + PC) competitive 5v5 game blending MOBA and Battle Royale mechanics.
- Blockchain-native: NFT items, a proprietary token (WARLANDS COINS, symbol WARLANDS, total supply 100,000,000), Play & Earn economy.
- Entry-fee ("ticket-to-play") model like poker - each match has a buy-in.
- DAO-tokenized esports club (Brazilian club acquisition announced) - fans share decisions and prize earnings.
- Metaverse-to-physical integration: token discounts at partner retailers (supermarkets, food, tickets).
- 55-person team with 8+ years game dev experience; prior mobile titles with millions of downloads.

## Market

- Global gaming ecosystem: >$100B, >2B gamers worldwide.
- Global eSports market (TAM proxy):
  - 2020: $1,215.6M
  - 2021: $1,484.3M
  - 2022: $1,823.0M
  - 2023: $2,252.4M
  - 2024: $2,800.0M
  - 2025: $3,502.7M
  - 2026: $4,410.0M
  - 2027–2028: $5,589.2M
- Top gaming sub-genres by time spent (H1 2021): Battle Royale 16%, MOBA 12% - the two genres Warlands combines.
- Streaming hours watched (top Western platforms Q1 2019 vs Q1 2021): Twitch 3.6B → 8.8B hrs (~+144%), YouTube Gaming 0.7B → 1.4B, FB Gaming 0.1B → 1.1B.
- Global video games revenue projected to ~$500B by 2030 (source: GlobalData Thematic Research, chart scale read from image).

## Revenue model

Seven revenue verticals, all expressed as ARPU × % of DAU performing action:

| Revenue Type | % Players | Daily ARPU (€) |
| -- | -- | -- |
| Ads (interstitial) | 100% | 0.05 |
| Immersive Ads | 100% | 5.00 |
| Marketplace (NFT/item) | 15% | 10.00 |
| Subscriptions | 20% | 2.50 |
| Scholarships Subscriptions | 25% | 5.00 |
| Guilds Subscriptions | 25% | 1.50 |
| Scholarships Fee | 20% | 1.50 |
| PvP Entry (ticket to play) | 25% | 5.00 |
| Tournaments | 10% | 1.50 |
| Guild Free Tournaments | 10% | 1.50 |
| Guilds Wars | 5% | 2.50 |
| Chests (loot boxes) | 5% | 75.00 |
| Whitedraws (withdrawals) | 5% | 10.00 |
| Buy Token Fee | 5% | 6.00 |
| Sell Token Fee | 5% | 6.00 |

Blended daily rev per DAU at 100% weights = €16.50 (confirmed by deck's own DAU daily revenue total for 1,000 DAU = €16,500).

## Traction & metrics

- No live revenue or player count stated. Deck is pre-launch.
- Team: 55 members, 8 years dev experience.
- Projected revenue scenarios (daily, based on DAU):
  - 1,000 DAU → €16,500/day → €495,000/month
  - 10,000 DAU → €165,000/day → €4,950,000/month
  - 100,000 DAU → €1,650,000/day → €49,500,000/month
  - 200,000 DAU → €3,300,000/day → €99,000,000/month
  - 500,000 DAU → €8,250,000/day → €247,500,000/month
- Note: These are model projections, not actual traction numbers.

## Unit economics

Monthly cost base at 1,000 DAU scale:

| Expense | Monthly (€) | Note |
| -- | -- | -- |
| Dev team (15 people × €2,200) | 27,000 | - |
| Marketing team (5 × €1,800) | 9,000 | - |
| Team A – economists/mods (5 × €1,800) | 9,000 | - |
| Board (3 × €1,800) | 5,400 | - |
| Advertising | 60,000 | €2,000/day avg |
| Taxes | 95,925 | 25% of billed |
| Insurance | 38,370 | 10% of billed |
| Contingencies / R&D | 38,370 | - |
| Servers | 57,555 | 15% of billed |
| **Total Monthly Expenditure** | **340,620** | - |

Monthly net at stated DAU scenarios:
- 100 DAU: €43,080 net (implausible given cost base at 100 DAU - likely typo/error in deck)
- 500 DAU: €1,577,880 net
- 1,000 DAU: €3,496,380 net

## Competition / moat

- Direct competitors cited by sub-genre: Free Fire (Battle Royale), Honour of Kings (MOBA), Call of Duty: Mobile.
- Moat claims: 8-year proprietary development, data-driven game design, first-mover on "AAA hybrid esports + blockchain" multiplatform, DAO club ownership, team profit-share mechanism.
- No explicit competitive matrix or differentiation slide.

## Team & funding ask / use of funds

**Team**:
- Oliver Pérez - CEO (Founder)
- Norberto - CMO
- Ayush Ranjan - CTO
- Hamza - CFO
- Abhi - Lead Tech Officer
- Anagh - Art Director
- Karan - Blockchain Lead

**Funding ask**: Not explicitly stated in deck (no round size, valuation, or use-of-funds table).

**Token capital distribution** (how raised token capital will be allocated):
- 50% Developer Team
- 20% Promotion
- 10% Marketing Team
- 10% Team (salaries / profit share)
- 10% Structure

**Token distribution** (100,000,000 total supply):
- 52% Play & Earn
- 10% Presale
- 10% Team (development expenses)
- 10% Liquidity
- 8% Marketing
- 5% Reserve & exclusive partners
- 5% Airdrops

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## Recommended financial model

**Archetype + why:**
Web3 Gaming / P2E ARPU model - the deck already uses a DAU/MAU × ARPU × conversion-rate framework across 15 revenue streams, combined with a token economy layer. This is structurally a free-to-play ARPU model with an additional on-chain transaction fee revenue stream. The recommended archetype is a **multi-stream F2P/P2E game P&L model** with token economics integrated (not a SaaS ARR model, not a marketplace GMV model, not a 3-statement with meaningful balance sheet drivers at this stage). Token presale proceeds should be modelled as a separate capital event, not recurring revenue.

**Forecast horizon & granularity:**
- 3 years monthly (pre-launch Y1 through scale Y3)
- Phase 0 (months 1–6): pre-launch / presale - token raise, no game revenue
- Phase 1 (months 7–18): soft launch, DAU ramp from 0 → ~10,000
- Phase 2 (months 19–36): growth to 100,000+ DAU target

**Key drivers & assumptions:**

| Driver | Value | Source |
| -- | -- | -- |
| Daily ARPU – Immersive Ads | €5.00/DAU | - |
| Daily ARPU – PvP Entry fee | €5.00/DAU @ 25% conversion | - |
| Daily ARPU – Marketplace | €10.00/DAU @ 15% conversion | - |
| Daily ARPU – Chest purchases | €75.00/DAU @ 5% conversion | - |
| Blended daily rev per DAU | €16.50 | - |
| MAU/DAU ratio | 30× (i.e. DAU ≈ 3.3% of MAU) | - |
| Monthly base cost at 28-head team | €340,620 | - |
| Advertising spend | €60,000/month (~€2k/day) | - |
| Tax rate | 25% of gross revenue | - |
| Server cost | 15% of gross revenue | - |
| Insurance | 10% of gross revenue | - |
| Contingencies/R&D | 10% of gross revenue | - |
| Token total supply | 100,000,000 WARLANDS | - |
| Presale allocation | 10% of total supply (10M tokens) | - |
| Presale token price | €0.05–€0.10 - typical P2E presale range; no price disclosed in deck |
| DAU ramp rate post-launch | +20% MoM in growth phase - mobile gaming benchmark for well-marketed titles |
| User acquisition cost (CAC) | €1.50–€3.00 per install - mobile gaming industry average; deck mentions €2k/day ad spend |
| Day-30 retention | 20–25% - mobile MOBA/BR benchmark |
| Churn rate (monthly) | 10–15% of active users per month |
| Marketplace take rate | 5–10% of NFT/item transaction value (commission to platform) |
| Token price / market cap | volatile; model as sensitivity variable, not base case revenue driver |

**Scenarios (Base / Bull / Bear - which variables flex):**
- Bear: DAU plateau at 10,000 (MAU 300,000); blended ARPU at 70% of deck figure due to lower conversion; CAC €3.
- Base: DAU ramp to 100,000 (MAU 3,000,000) by month 30; ARPU at deck rates; CAC €2.
- Bull: DAU 500,000 (MAU 15,000,000) by month 36; viral/organic growth reduces CAC to €1; immersive ad ARPU premium due to brand deals.

**Required sheets / outputs:**
1. Assumptions - all drivers, toggleable scenario selector (Base/Bull/Bear)
2. User Growth - DAU/MAU ramp, cohort installs, churn, retention
3. Revenue Build - 15 revenue streams, each: DAU × conversion % × ARPU × 30 days
4. Cost Build - fixed headcount costs + variable costs (taxes, servers, insurance, R&D, advertising) as % of revenue
5. P&L Summary - Gross Revenue, variable costs, gross margin, fixed OpEx, EBITDA, net income
6. Token Economics - supply schedule, presale raise, vesting, Play & Earn emission rate, token treasury
7. Cash Flow - operating cash flow, presale proceeds as financing inflow, runway calculator
8. Sensitivity - EBITDA vs DAU (rows) × blended ARPU (columns)
9. Dashboard - KPI cards: DAU, MAU, monthly revenue, EBITDA, runway months

## Frequently asked questions

### Is the Warlands financial model free?

Yes. The Warlands model is a free Excel download with live formulas.

### Can I change the assumptions?

Yes. The workbook is editable and its live formulas recalculate when assumptions change.