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港警成雙:來自城寨 Dual Fire Walled City artwork

Game intelligence STEAM ANALYZED

港警成雙:來自城寨 Dual Fire Walled City

Team DF

Dual Fire Walled City is a story-driven co-op game for two players. Featuring close friends who grew up together in the Kowloon Walled City, only to be pulled onto vastly different life paths by a twist of fate. Get ready to immerse yourself in a classic Hong Kong-style movie.

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Overview

A quick look at the completed Steam page analysis for 港警成雙:來自城寨 Dual Fire Walled City.

Steam page score79.1Communication and conversion readiness

What stands out

Key strengths and opportunities based on the saved analysis.

Explore Steam analysis →

Strength

The page establishes a clear cinematic co-op identity

The short description presents a two-player story-driven game inspired by a classic Hong Kong movie, and the About section reinforces the crime-thriller tone.

Potential players can quickly understand the intended shared narrative experience and overall atmosphere.

Strength

The Hong Kong setting gives the page a recognizable hook

The page combines Kowloon Walled City, classic Hong Kong action-movie inspiration, cooperative play and Cantonese/Putonghua voiceover.

These concrete elements give the game a stronger identity than generic story-driven co-op positioning alone.

Strength

Tags and categories reinforce the written positioning

Co-op, Split Screen, Crime, Story Rich, Third Person and Action-Adventure align with the About section and listed multiplayer categories.

The page sends a consistent message across its main classification surfaces.

+ 4 additional insights

Steam Analysis

How well does the Steam page communicate and convert?

Solid foundation

95.0% analysis coverage

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The portion of the Steam page that had enough information to assess.

Clarity and positioning75.0
Differentiation87.5
Copy and information hierarchy66.7
Media readiness100.0
Discoverability and classification87.5
Product offer and release status62.5
Consistency and trust75.0
Page hygiene62.5

The page communicates a clear, distinctive two-player Hong Kong crime-thriller identity and has well-aligned taxonomy. Its main weakness is that it explains the atmosphere and premise more clearly than the concrete player objective and gameplay loop.

How this game compares
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A comparison with other Steam pages that AdsForGames has analyzed.

Steam page scores compared with the analyzed games in AdsForGames.

How AdsForGames measures this →
Steam Page Score79.1 / 100
Dataset median80.8
Compared with the medianAround median
Dataset percentile
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The share of analyzed Steam pages scoring at or below this game.

45.9

The current Steam Page Score for 港警成雙:來自城寨 Dual Fire Walled City is 79.1/100, compared with a dataset median of 80.8 across 2,468 analyzed Steam pages.

Based on 2,468 analyzed Steam pages. Area samples may differ when a score is unavailable.

Eight areas of the Steam page

Scores use the current saved analysis. Each comparison uses that area's own sample.

Clarity and positioning

75.0 / 100

Dataset median 87.5 · Below median

Based on 2,468 scores · 20.6 percentile

Differentiation

87.5 / 100

Dataset median 87.5 · Around median

Based on 2,468 scores · 52.4 percentile

Copy and information hierarchy

66.7 / 100

Dataset median 75.0 · Below median

Based on 2,468 scores · 33.6 percentile

Media readiness

100.0 / 100

Dataset median 100.0 · Around median

Based on 2,467 scores · 50.1 percentile

Discoverability and classification

87.5 / 100

Dataset median 75.0 · Above median

Based on 2,468 scores · 80.4 percentile

Product offer and release status

62.5 / 100

Dataset median 75.0 · Below median

Based on 2,468 scores · 30.5 percentile

Consistency and trust

75.0 / 100

Dataset median 75.0 · Around median

Based on 2,468 scores · 40.1 percentile

Page hygiene

62.5 / 100

Dataset median 75.0 · Below median

Based on 2,466 scores · 36.7 percentile

Visibility

Web presence analysis is still pending.

Analysis pending
Results will appear here when this stage is complete.

Data freshness

When each saved source was last collected.

Steam

Audience

Audience intelligence is not available yet.

Analysis pending
Results will appear here when this stage is complete.

Similar Games

Related-game discovery is still pending.

Analysis pending
Results will appear here when this stage is complete.

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Last updated (analysis completed)

Steam analysis

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