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新新彩下半场23:30 — 12 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Lotteries And Scratchcards →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
727.net ↗	60 match 1 shared topics	懸賞・プレゼント・モニター情報「Lucky Dip!」（ラッキーディップ）	ja	lotteries-and-scratchcards	robotsllmsaihumans	emailphone	none
hpfree.com ↗	60 match 1 shared topics	速報ナビ｜宝くじ当選番号案内抽選結果発表過去一覧表	ja	lotteries-and-scratchcards	robotsllmsaihumans	emailphone	none
3iamn.com ↗	60 match 1 shared topics	3 is a Magic Number	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none
ataruataruataru.com ↗	60 match 1 shared topics	懸賞人 \| 当選品のご紹介を交えながら懸賞の楽しさをお伝えします	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none
atarulot.com ↗	60 match 1 shared topics	公営競技ロトくじで百万長者 - このサイトは公営競技ロトくじで百万長者を目指すサイトです	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none
ataruu.com ↗	60 match 1 shared topics	当たる.com \| あたるこむ	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none
ateru-takarakuji.com ↗	60 match 1 shared topics	老後は年金より当選金	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none
dream-keiba.com ↗	60 match 1 shared topics	ANA‐K	ja	lotteries-and-scratchcards	robotsllmsaihumans	emailphone	none
ataribaken.com ↗	30 match 1 shared topics	馬券配当を考える	ja	lotteries-and-scratchcards WordPress	robots llmsaihumans	emailphone	none
ateru-lotonumbers.com ↗	30 match 1 shared topics	アテルのロトナンバーズ検証 \| 本当に凄いロトナンバーズ予想をお教えします!!	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none
cha7.com ↗	30 match 1 shared topics	アクセサリー・現金など無料プレゼント｜懸賞サイト「全プレ懸賞サイトチャンス！」全員プレゼント	ja	sales-and-promotions	robotsllmsaihumans	emailphone	none
skydivingeducation.com ↗	20 match 1 shared topics	競艇の予想が当たらない時は？当てるコツと勝つ方法をまとめました！	ja	lotteries-and-scratchcards WordPress	robotsllmsaihumans	emailphone	none

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.