What games are most similar to Inside The Park VR?

The most similar games to Inside The Park VR include Gamer To Game Developer Series 1: More Than a Gamer, Gamer To Game Developer Series 3: Make A Game, Preface: Undiscovered World, and more. These recommendations are based on shared tags, gameplay mechanics, and player behavior patterns.

What genre is Inside The Park VR?

Inside The Park VR is a Simulation, Software Training, Game Development game with popular tags including Simulation, Software Training, Game Development, VR, Baseball.

Best simulation games like Inside The Park VR?

If you're looking for more simulation games like Inside The Park VR, try Gamer To Game Developer Series 1: More Than a Gamer, Gamer To Game Developer Series 3: Make A Game, Preface: Undiscovered World. These share the Simulation tag and similar gameplay elements.

How does Nodal find games like Inside The Park VR?

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 Inside The Park VR. You can tune the blend between content-based and community-based recommendations.

Games like Inside The Park VR but more software training?

To find games emphasizing software training, use Nodal's tag filters to prioritize Software Training alongside Simulation. You can also explore the software training tag page directly.

Games Like Inside The Park VR

60+ similar titles based on shared tags and player behavior. Themes include Software Training, Education, Game Development, Programming.

Steam Store Browse Tags About Privacy Terms

Inside The Park VR is an immersive virtual reality baseball simulator developed for the Valve Index. Designed to make you a better player, Inside The Park VR delivers on this promise with immersive visuals, realistic physics, and dynamic data to make you the best baseball player you can be.

Reviews: Mixed — 45% — of 20 reviews

Released: 2019-08-30

Developer: Intelimmerse LLC

Genres: Simulation, Software Training, Game Development

Platforms: Windows

View on Steam →

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Games Like Inside The Park VR

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Tunedi

Inside The Park VR

Aug 30, 2019

Seed

Preface: Undiscovered World

Dec 5, 2024

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Aug 9, 2020

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PsychLabVR

May 4, 2017

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Sep 11, 2020

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Release DateAug 30, 2019

Current playersN/A

Review Score73.8% – Mixed

Total reviews20

DeveloperIntelimmerse LLC

PublisherIntelimmerse LLC

PlatformsWindows

Websiteintelimmerse.com

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–VII): 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 customizable mix of any two models for more balanced or personalized 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–VII)?

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. For example, starting from Hades, one mode may favor large games that many Hades players also own, while another will favor smaller roguelites that are more directly aligned, even if the shared audience is smaller. Try a couple of modes and stick with the one that matches what you mean by "similar."

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 sweat the absolute % too much, focus on relative order
•Click around the graph to discover clusters you didn't know you liked