Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jan-training.com

符計算の演習問題NO.2-麻雀点数計算練習ドットコム · ranked by category · tech stack · backlink co-citation
40match
digimoncard-wiki.com
デジモンカードゲームwiki
0 co-citations4 shared tech1 shared categorycard-games
34match
kanrocandy.com
三麻の覚え書き | 三人麻雀の上達お助けサイト
0 co-citations4 shared tech2 shared categorycard-games
30match
hiyori-prd.com
株式会社日和
0 co-citations2 shared tech2 shared categoryboard-games-and-puzzles
30match
majyan-item.com
麻雀グッズ研究所|麻雀用品専門のレビューサイト
0 co-citations4 shared tech2 shared categorycard-games
28match
kan-igo-shogi.com
かんの囲碁将棋日記 | アフター叶や掲示板
0 co-citations3 shared tech2 shared categoryboard-games-and-puzzles
27match
majan-kazan.com
麻雀華山kazan相鉄線二俣川駅北口から徒歩1分
0 co-citations2 shared tech2 shared categorycard-games
27match
ixanary.com
Home | 戦国IXAnary
0 co-citations4 shared tech1 shared categorycard-games
24match
canary-mj.com
まーじゃん カフェ キャナリィ | 楽しく脳トレ‼ 愛知県一宮市の麻雀教室・まーじゃんカフェ
0 co-citations2 shared tech2 shared categorycard-games
24match
kanji-q.com
脳を鍛える 漢字クイズ - 毎日更新!
0 co-citations4 shared tech0 shared categorygames-and-puzzles
24match
jisakuyaro.com
自作野郎ぜっ!ミニフライス盤とミニ旋盤で楽しむ趣味の工作とCNC
0 co-citations4 shared tech0 shared categorywoodworking
23match
eldorado-card.com
コレクションカード専門店 エルドラード|Collection card specialty store Eldorado
0 co-citations2 shared tech1 shared categorycollecting
22match
banjovillage.com
横浜のボードゲームカフェ バンジョービレッジ
0 co-citations4 shared tech1 shared categoryboard-games-and-puzzles
22match
kyari-soku.com
戦略と思考を学ぶ!市原市 ポケモンカード交流会【無料・初心者歓迎】
0 co-citations2 shared tech1 shared categorycard-games
22match
digimoncard.com
デジモンカードゲーム
0 co-citations3 shared tech1 shared categorycard-games
21match
janai-mahjong.com
JANAI — 麻雀、もっと自由に。
0 co-citations2 shared tech1 shared categorycard-games
21match
japanchess.com
チェスやりますか
0 co-citations4 shared tech1 shared categoryboard-games-and-puzzles
21match
hobbies-workshop.com
好きなこと工房
0 co-citations4 shared tech1 shared categoryroleplaying-games
21match
hastemtg.com
速攻MTG | MTGのアレコレをPWの皆様に
0 co-citations4 shared tech1 shared categorycard-games

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.