What games are most similar to Stream Battlecards?

The most similar games to Stream Battlecards include liteCam Game: 100 FPS Game Capture, VideoPad Video Editor, Intro Maker, and more. These recommendations are based on shared tags, gameplay mechanics, and player behavior patterns.

What genre is Stream Battlecards?

Stream Battlecards is a Action, Casual, Indie game with popular tags including Video Production, Card Battler, Party-Based RPG, Software, Utilities.

Best video production games like Stream Battlecards?

If you're looking for more video production games like Stream Battlecards, try liteCam Game: 100 FPS Game Capture, VideoPad Video Editor, Intro Maker. These share the Video Production tag and similar gameplay elements.

How does Nodal find games like Stream Battlecards?

Nodal uses a hybrid recommendation system that combines tag similarity analysis with collaborative filtering from player behavior data. We analyze which games are frequently played by the same players and share similar tags to Stream Battlecards. You can tune the blend between content-based and community-based recommendations.

Games like Stream Battlecards but more card battler?

To find games emphasizing card battler, use Nodal's tag filters to prioritize Card Battler alongside Video Production. You can also explore the card battler tag page directly.

Games Like Stream Battlecards

60+ similar titles based on shared tags and player behavior. Themes include Video Production, Utilities, Software, VR.

Steam Store Browse Tags About Privacy Terms

Stream Battlecards is an overlay for Twitch livestreams. Your viewers can fight against hordes of monsters or compete in Battle Royale. Your whole community may vote via chat which actions to perform and support with items.

Reviews: Positive — 92% — of 13 reviews

Released: 2020-01-20

Developer: Pascal Dittrich

Publisher: padSoft

Genres: Action, Casual, Indie, Massively Multiplayer, RPG

Platforms: Windows

View on Steam →

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Games Like Stream Battlecards

Shared themes:Video Production Utilities Software VR Casual Indie Early Access

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Stream Battlecards

Jan 20, 2020

Seed

Break Games

Jul 29, 2024

Need a quick break while streaming? Break Games offers three games in one app. Let your community defend against aliens, run a giveaway, or watch Cuby bounce around like a classic DVD screensaver!

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Feb 27, 2022

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May 18, 2022

GOC Royale is a competitive multiplayer card game that takes you to randomly generated islands to take part in battles to the death.

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Welme

Nov 29, 2022

We are the first virtual reality streaming platform that improves the relationship between streamers and their audience. We connect streamers with super fans who want to have a more direct, immersive and exclusive relationship than the current one.

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Focus Simulator

Mar 13, 2025

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Desktop Jumpscares

Jul 30, 2022

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Flow Reader — Speed Reading Trainer

Apr 26, 2026

Train your brain to read faster, reduce hesitation, and improve focus using a high-speed flow reading system designed for performance.

Games like Flow Reader — Speed Reading Trainer

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Stream Battlecards

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Steam

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Steam 250

Media

Release DateJan 20, 2020

Current playersN/A

Review Score86.8% – Positive

Total reviews13

DeveloperPascal Dittrich

PublisherpadSoft

PlatformsWindows

How to Use This Page

Find games similar to your favorites using a hybrid recommendation engine, and optionally tune the results to match your taste. This page includes multiple recommendation models, including collaborative filtering (player behavior) and tag-based similarity to surface games you might love.

What do the different models mean?

•Content: Finds similar games only using Steam tags. Disregards all player behavior data. Note: this model's accuracy depends on how well the tags reflect the game, which can be less reliable for newer or smaller titles.
•Community: Finds games using only player behavior ("people who play X also play Y"). Disregards all tags.
•Community Variants (Mode I–II): Alternate community engines with different behaviors. Users often prefer different modes, so try a couple and keep the one that best matches your taste.
•Blend: A customized mix of many models for more balanced recommendations.

What is the graph showing?

•It's a "map of Steam tags." The graph uses tag similarity to project games into a 2D space, revealing clusters of games that share similar themes and mechanics.
•Position = tag similarity (compressed). We're squeezing 400+ tags (and their combinations) into 2D, so some detail is inevitably lost. Overall, local neighborhoods should still be quite accurate.
•Size = popularity. Bigger nodes generally mean more widely played games.
•Color = whatever you pick. Use the color dropdown to switch between cluster views (and other color modes).
•Important: The left-hand ranking shows the true recommendation order. It's computed using the selected model's full similarity space, not the 2D map.

How does re-ranking work?

The re-ranking sliders let you personalize the list without changing the underlying model.

•All sliders at 0 = default ranking for the current model.
•As you add weights, we re-rank the results to emphasize what you care about (e.g., more niche, more recent, higher rated, etc.).

What does the purple score bar mean?

•The white vertical line shows the game's score under the model's original ranking.
•The purple bar shows the game's score after your tuning is applied.

Frequently Asked Questions

Why is the #1 game score ~95% in every model?

Because each model produces scores on its own internal scale (different ranges, different distributions). To make the UI readable, we normalize scores so they're best interpreted as relative rankings, not whether one model's raw score is "bigger" than another's.

Why are two games close on the graph but far apart in the list?

The graph is a 2D tag-only map (compressed). The list is computed using the chosen model in its full similarity space. So the map is great for intuition and discovery, but the ranked list is the accurate ordering.

What's the difference between Community variants (Mode I–II)?

Each mode is a different recommendation engine trained on Steam community co-play patterns. No tags are used here. The main difference is how similarity is measured, which changes whether results lean toward bigger, widely played games or tighter, more aligned neighbors.

Why did you make this?

Because people love great games, and most recommenders are either a black box or too generic. I wanted something high-quality, visual, and customizable, built from a stats / machine learning mindset.

Quick Tips

•Hover games in the list to highlight them on the graph
•Don't worry about the absolute % too much, focus on relative order
•Click around the graph to discover clusters you didn't know you liked