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85match
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1 co-citations2 shared tech1 shared categorymobile-games
85match
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1 co-citations2 shared tech1 shared categoryvideo-gaming
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1 co-citations2 shared tech1 shared categoryvideo-gaming
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1 co-citations2 shared tech1 shared categorymobile-games
85match
7qufun.com
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1 co-citations2 shared tech1 shared categoryvideo-gaming
85match
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1 co-citations2 shared tech1 shared categoryvideo-gaming
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1 co-citations2 shared tech1 shared categorymobile-games
70match
mandihua.com
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1 co-citations1 shared tech1 shared categoryvideo-gaming
70match
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1 co-citations1 shared tech1 shared categoryvideo-gaming
70match
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1 co-citations1 shared tech1 shared categoryvideo-gaming
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1 co-citations1 shared tech1 shared categoryvideo-gaming
70match
9skygaming.com
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1 co-citations2 shared tech1 shared categoryvideo-gaming
70match
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1 co-citations1 shared tech1 shared categoryesports
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genwan.com
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1 co-citations1 shared tech1 shared categoryvideo-gaming
68match
jingxin360.com
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1 co-citations2 shared tech1 shared categorymobile-games
68match
julianmingpin.com
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1 co-citations2 shared tech1 shared categoryesports
68match
hfmining.com
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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.