# 麻雀点数記録・分析　データ雀 vs チンチロ！

The clearest difference is in-app purchases: チンチロ！ at none against 麻雀点数記録・分析　データ雀's 7. On price, update cadence, ads and device support there is nothing between them.

Both are free to download. 麻雀点数記録・分析　データ雀 sells 7 in-app purchases, starting at $0.99 per month. チンチロ！ asks for nothing beyond the download.

麻雀点数記録・分析　データ雀 ships an update fortnightly, チンチロ！ every 10 days. Both last shipped on October 31, 2026.

## The numbers

| Metric | 麻雀点数記録・分析　データ雀 | チンチロ！ |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | Yes | **No** |
| Ads | Yes | Yes |
| Update frequency | Fortnightly | **Every 10 days** |
| Size | 60 MB | 14 MB |
| Requires iOS | **16.4** | 17.0 |
| Devices | iPhone, iPad | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [seiya fujikura](https://appshunter.io/developer/1893494535) | [IBUKI YOSHIDA](https://appshunter.io/developer/1856209051) |

## What reviewers say

### 麻雀点数記録・分析　データ雀

[App page](https://appshunter.io/ios/app/id6762990641)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases (7)**

| Purchase | Price | Billing |
| --- | --- | --- |
| プレミアムプラン（月額） | $0.99 | per month |
| プレミアムプラン（年額） | $9.99 | per year |
| 立直・副露データ拡張 | $2.99 | one-time |
| 共有制限解除 | $2.99 | one-time |
| 履歴制限解除 | $2.99 | one-time |
| 分析機能強化 | $2.99 | one-time |
| 広告非表示 | $9.99 | one-time |


### チンチロ！

[App page](https://appshunter.io/ios/app/3d/id6788230621)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is 麻雀点数記録・分析　データ雀 free?

麻雀点数記録・分析　データ雀 is free to download, with in-app purchases available.

### Is チンチロ！ free?

チンチロ！ is free to download, with no in-app purchases.

### Do 麻雀点数記録・分析　データ雀 or チンチロ！ have ads?

Both 麻雀点数記録・分析　データ雀 and チンチロ！ show ads.

### Which is updated more often, 麻雀点数記録・分析　データ雀 or チンチロ！?

麻雀点数記録・分析　データ雀 ships an update fortnightly, and チンチロ！ every 10 days. Most recently, 麻雀点数記録・分析　データ雀 was updated on October 31, 2026 and チンチロ！ on October 31, 2026.

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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.*