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100match
ccteamclash.com
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1 co-citations2 shared tech1 shared categorysports
100match
elitebatting.com
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1 co-citations2 shared tech1 shared categorybaseball
100match
gergelymuranyi.com
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1 co-citations2 shared tech1 shared categorysports
85match
jasonleegreer.com
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1 co-citations2 shared tech1 shared categorysports
85match
greatfindmedia.com
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1 co-citations2 shared tech1 shared categorysports
85match
greenvillearchers.com
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1 co-citations2 shared tech1 shared categorysports
85match
greenzonepickleball.com
Green Zone Pickleball
1 co-citations2 shared tech1 shared categorysports
85match
guillotine2022.com
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1 co-citations2 shared tech1 shared categorysports
85match
apshof.com
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1 co-citations2 shared tech1 shared categorysports
85match
aqualanepickleball.com
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1 co-citations2 shared tech1 shared categorysports
85match
bookboyfriendleague.com
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1 co-citations2 shared tech1 shared categoryfantasy-sports
85match
covid69.com
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1 co-citations2 shared tech1 shared categorysports
85match
elevationpb.com
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1 co-citations2 shared tech1 shared categorysports
85match
elitesoccerlab.com
Elite Soccer Lab
1 co-citations2 shared tech1 shared categorysoccer
82match
adm2k.com
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1 co-citations2 shared tech1 shared categorysports
80match
jamswearables.com
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1 co-citations2 shared tech0 shared categorysports-equipment
80match
hammerheadofficial.com
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1 co-citations2 shared tech0 shared categoryfishing-sports
80match
adrenaline27.com
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1 co-citations2 shared tech0 shared categorybaseball

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.