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Global Protocol: New World Order

📅 Jun 1, 2026
Dorlion Interactive
Command any of 261 real-world countries in this 2026 grand strategy game. Build your economy, lead armies, and navigate deep diplomacy. Features built-in modding support and 12 supported languages. Shape the global order through espionage, nuclear deterrence, and AI-driven geopolitics.
66.7Rating
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About This Game

Global Protocol: New World Order is a indie/simulation game designed for single-player, developed by Dorlion Interactive and released in 2026. With an estimated 295 copies sold, it is considered a niche release on Steam. Community ratings across Steam average 66.7/100 — a mixed reception overall. Players commonly describe it as Strategy, 4X, Grand Strategy, Sandbox and Immersive Sim.

Game Information

Release Date
June 1, 2026
Developer
Dorlion Interactive
Publisher
Dorlion Interactive
Platforms
Windows
Price
$19.99

Analytics & Metrics

Copies Sold (VISE)
Low Data
VRI ScoreLearning
N/A
VISE (VORYTHIC Intelligent Sales Estimator) intelligent predictive model estimating the number of copies sold on Steam, based on community data analysis and purchase patterns.
VRI (Vorythic Recommendation Index) a single number indicating whether the game is worth your time. Built from game data, putting real players' opinions above progressive 'critics'.

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System Requirements

🪟 Windows
Minimum
  • Requires a 64-bit processor and operating system
  • OS: Windows 10 / 11 (64-bit)
  • Processor: Intel Core i3-2100 / AMD Phenom II X4 940
  • Memory: 8 GB RAM
  • Graphics: NVIDIA GeForce GTX 660M / Intel HD 4000 (Integrated)
  • DirectX: Version 11
  • Storage: 4 GB available space
  • Additional Notes: Keyboard and mouse required
Recommended
  • Requires a 64-bit processor and operating system
  • OS: Windows 10 / 11 (64-bit)
  • Processor: Intel Core i7-9700 / AMD Ryzen 5 3600
  • Memory: 16 GB RAM
  • Graphics: NVIDIA GeForce GTX 1660 / AMD Radeon RX 5600 XT
  • DirectX: Version 12
  • Storage: 6 GB available space
  • Additional Notes: SSD recommended for faster load times