SPSTEAMPULSELIVE ANALYTICS
Sigma Theory: Global Cold War

Sigma Theory: Global Cold War regional audience

Mi-Clos Studio, Goblinz Studio, FibreTigre | Nov 21, 2019 | game

Released

0players observed · 22 September 2026 - 13:42:42 UTC

SimulationStrategyPolitical SimSandboxEconomySteam Store

  • Latest observed playersNot available
  • SteamPulse tracked peak8
  • Units sold (VGI)No data available
  • Revenue (VGI)No data available
  • Review score76% positive

Sigma Theory: Global Cold War regional data compares SteamPulse audience signals across players, reviewers, followers, and wishlist activity where country-level samples exist.

  • Latest observed playersNot available
  • SteamPulse tracked peak8
  • Units sold (VGI)No data available
  • Revenue (VGI)No data available
  • Review score76% positive
  • Total reviews1,375
  • Release dateNov 21, 2019
  • DeveloperMi-Clos Studio, Goblinz Studio, FibreTigre
  • PublisherGoblinz Publishing, Fractale

Genres: Simulation, Strategy

Company pages: Developer: Mi-Clos Studio, Goblinz Studio, FibreTigrePublisher: Goblinz Publishing, Fractale

Top Steam chartsTop 100 gamesGame directorySteam Store page

Sigma Theory: Global Cold War regional audience

Sigma Theory: Global Cold War regional data compares SteamPulse audience signals across players, reviewers, followers, and wishlist activity where country-level samples exist.

Region

The reviewer view for Sigma Theory: Global Cold War is based on an identified sample of public reviewers. Player, follower, and wishlist geography are directional models that use public reviewer geography and available game-level signals; they are not exact country-by-country account counts.

Use the tabs to compare relative geographic shares and check each view's confidence label. Modeled percentages should be treated as directional context, especially when the identified reviewer sample is small or contains unknown locations.

Regional Audience Explorer

Open a tab to inspect the full country ranking, the highlighted world map, and the current base or identified sample behind each region view.

Top Players Region Overview

SteamPulse's directional player-region model for Sigma Theory: Global Cold War assigns its largest shares to United States (37.5%), United Kingdom (7.7%), Canada (5.7%). The model blends the available public-reviewer geography, reviewer playtime signals, current player scale, and a disclosed Steam market prior. The dataset labels confidence as medium.

These percentages are relative model weights, not observed locations or verified counts of active players. Use the map to compare the model's country distribution, not to infer exactly how many people are playing in any country.

Reviewers Region Overview

Sigma Theory: Global Cold War's identified public-reviewer sample spans 27 countries and is led by United States (44.9%), United Kingdom (8.7%), Canada (5.8%). United States accounts for 44.9% of reviewers with an identified country (31 reviewers).

This is an observed sample of 69 public reviewer profiles with visible country data, not a census of all reviewers, owners, or players. Another 181 sampled reviewer profiles did not expose a country and are excluded from the percentages. The dataset labels confidence as directional.

Followers Region Overview

SteamPulse's directional follower-region model for Sigma Theory: Global Cold War assigns its largest shares to United States (48.7%), United Kingdom (7.5%), China (5.2%). It blends the modeled player and wishlist distributions with the available public-reviewer geography. The dataset labels confidence as directional.

Steam does not publish account-level follower locations for this view. The percentages are normalized model weights, not observed follower counts, and they should not be read as proof of attention or future activity in a country.

Wishlist Region Overview

SteamPulse's directional wishlist-region model for Sigma Theory: Global Cold War assigns its largest shares to United States (33.1%), China (7.6%), United Kingdom (7%). It combines the modeled player distribution, available public-reviewer geography, review penetration, release recency, and a disclosed market prior. The dataset labels confidence as directional.

Steam does not publish account-level wishlist locations for this view. The percentages are normalized model weights, not observed wishlist counts or evidence of purchase intent, and should be used only to compare the model's relative country distribution.

Player Region Distribution

CountryModeled share
United States37.5%
United Kingdom7.7%
Canada5.7%
China5.3%
Brazil4.0%
Germany3.8%

Directional model - medium confidence; percentages are estimates, not counted accounts.

Wishlist Region Distribution

CountryModeled share
United States33.1%
China7.6%
United Kingdom7.0%
Canada5.1%
Brazil4.5%
Germany4.1%

Directional model - directional confidence; percentages are estimates, not counted accounts.

Reviewer Region Distribution

CountryIdentified reviewersShare
United States3144.9%
United Kingdom68.7%
Canada45.8%
Netherlands22.9%
Türkiye22.9%
Germany22.9%

Observed public-reviewer sample: 69 identified accounts - directional confidence

Follower Region Distribution

CountryModeled share
United States48.7%
United Kingdom7.5%
China5.2%
Canada5.0%
Brazil3.6%
Germany3.3%

Directional model - directional confidence; percentages are estimates, not counted accounts.

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