GAME DETAIL
Ancient Go
Go is a 3000-year-old game of strategy played by over 24 million people world-wide. Play is simple, place stones at key positions to surround territory and capture enemies. The rules can be learned in minutes, but Go has yet to be completely mastered. Ancient Go is designed for new players.
このゲームについて
Steamの詳しい説明を読む
Go is a 3000-year-old game of strategy played by over 24 million people world-wide. Play is simple, place stones at key positions to surround territory and capture enemies. The rules can be learned in minutes, but Go has yet to be completely mastered.
Ancient Go includes tutorials, an AI opponent, ranked online play, and Steam friend challenges.
The easy AI has been custom designed for beginners to play against, a place where many AIs fail. For harder difficulties a second AI is brought in that is strong enough to beat players with hundreds of hours of experience.
Online play uses free accounts on the OGS server with 400,000 registered users, around 2,000 logged in at any one time. There are quickmatch buttons for the common board sizes, as well as custom open, and Steam challenges. If you end up playing a lot becoming an OGS supporter is highly recommended as we are not affiliated.
Ancient Go uses Unreal Engine 4 and is 64 bit. As such the minimum requirements may be more than some expect. It is full 3D, you can move the camera with the mouse by hold the right mouse button down, and by scrolling. Graphics settings are tuned automatically based on the current frame-rate. It is possible to play on slower machines, but the graphics may tune down substantially for you.
For new players the rest probably wont mean much, but players who know Go, read on.
Ancient Go uses visual hints to indicate when playing into atari, positions on the board in atari, ko's and snapbacks. These are places the new players often have trouble, so it speeds up the learning process and increases the fun factor while people learn the rules. They can be disabled in the options menu.
AGA, Chinese, and Japanese rules are supported and can be selected in the options menu. AGA is default as it solves some problems with online play the popular Japanese rule set does not.
Stone removal uses the Fuego AI to mark dead stones, but can be set manually as well.
The AI used is a combination of Fuego (which is open source) and a custom AI. It is tuned to approximate 22 kyu, 18 kyu, 14 kyu, 2 dan. If new players are reading, it means most likely you can have many hundreds into thousands of hours of experience and the AI will still be a useful opponent. There are issues present which are in most AI's where on larger boards especially the AI fails to see larger strategy, but performs well in tactical situations. As such the AI ranks become significantly worse if play is geared to take advantage of this fact. It is possible for users to replace the Fuego.exe in the working directory with newer or custom versions.
スクリーンショット
評価・レビュー
全体レビュー 賛否両論 好評率 65.69% / 102件 取得:2026年8月31日 16:10
日本語レビュー レビュー不足または未評価 好評率 100.00% / 1件 取得:2026年8月31日 16:10
プレイ時間の目安 約3.2時間 Steamの好評レビュー67件から推定 信頼度:標準
ATTENTION
注目度メトリクス
プレイヤー推移
データ蓄積中 24時間平均選択した期間に観測データはありません。
Steamフォロワー推移
2件以上で集計 直近7日選択した期間に観測データはありません。
プレイヤー数とフォロワー数は意味と単位が異なるため、 別々の時系列として表示しています。補間した値は使用していません。
発売後注目度の基礎指標 発売済みタイトルのため、現在プレイヤー数・ピーク値・Steamフォロワー数を組み合わせて勢いを観測します。
| 指標 | 現在値 | 観測状況 |
|---|---|---|
| 現在プレイヤー数 | 0人 | 最終観測:2026年7月25日 22:46(62日経過) |
| 24時間ピーク | データ蓄積中 | 履歴あり・更新待ち・直近7日 0件 |
| Steamフォロワー数 | 839人 | 最終観測:2026年8月31日 20:19(25日経過) |
| 7日フォロワー増加 | 2件以上で集計 | 履歴あり・更新待ち・直近7日 0件 |
PlayMEXが保存した観測値です。取得時刻と観測数を あわせて確認できます。
ジャンル・機能
機能カテゴリ
ゲームライフログ
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