# EffortValueTool vs 弓期待値Calculator

The clearest difference is in-app purchases: 弓期待値Calculator at none against EffortValueTool's 1. EffortValueTool's advantage is device support. On price and iOS requirement there is nothing between them.

Both are free to download. EffortValueTool sells 1 one-off in-app purchase. 弓期待値Calculator asks for nothing beyond the download.

## The numbers

| Metric | EffortValueTool | 弓期待値Calculator |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[5.0 (1 ratings)](https://appshunter.io/ios/app/effortvaluetool/id1609571317/reviews)** | — |
| Number of ratings | **1** | — |
| Positive reviews | 66.7% of reviews | — |
| In-app purchases | Yes | **No** |
| Ads | Yes | — |
| Update frequency | Every 2 months | — |
| Monetization | Free with in-app purchases | — |
| Size | 6 MB | 6 MB |
| Requires iOS | **15.0** | 16.0 |
| Devices | **iPhone, iPad, iPod** | — |
| Age rating | 4+ | 4+ |
| Developer | [osamu fujiura](https://appshunter.io/developer/1608469017) | [Eiichi Akutsu](https://appshunter.io/developer/1717376224) |

## What reviewers say

### EffortValueTool

[App page](https://appshunter.io/ios/app/effortvaluetool/id1609571317)

This tool simplifies Pokémon training by allowing you to record and distribute effort values obtained from monsters. It offers an intuitive interface based on the game's mechanics and includes an undo function for mistakes.

**Highlights:** Record effort values, Distribute effort values, Undo mistakes, Intuitive game-based system, Track monster encounters

**Features:** macOS Compatibility

**In-app purchases (1)**

| Purchase | Price | Billing |
| --- | --- | --- |
| RemoveADS | $0.99 | one-time |


### 弓期待値Calculator

[App page](https://appshunter.io/ios/app/calculator/id6473525553)

**In-app purchases:** none


## Frequently asked questions

### Is EffortValueTool free?

EffortValueTool is free to download, with in-app purchases available.

### Is 弓期待値Calculator free?

弓期待値Calculator is free to download, with no in-app purchases.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*