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35match
kendukeandfriends.com
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0 co-citations0 shared tech1 shared categorygolf
35match
keowee19thhole.com
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0 co-citations0 shared tech1 shared categorygolf
35match
linksatpennhills.com
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0 co-citations0 shared tech1 shared categorygolf
35match
majklo.com
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0 co-citations0 shared tech1 shared categorygolf
35match
japonas.com
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0 co-citations0 shared tech1 shared categorygolf
35match
jimfaziogolf.com
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0 co-citations0 shared tech1 shared categorygolf
35match
hbcroquet.com
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0 co-citations0 shared tech1 shared categorygolf
35match
hojogolf.com
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0 co-citations0 shared tech1 shared categorygolf
35match
holein1golf.com
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0 co-citations0 shared tech1 shared categorygolf
35match
holydad.com
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0 co-citations0 shared tech1 shared categorygolf
35match
homeontherangegolf.com
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0 co-citations0 shared tech1 shared categorygolf
35match
bb-wheels.com
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0 co-citations0 shared tech1 shared categorygolf
35match
clubcampestrepuebla.com
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0 co-citations0 shared tech1 shared categorygolf
35match
clubatdoral.com
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0 co-citations0 shared tech1 shared categorygolf
35match
cmacontario.com
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0 co-citations0 shared tech1 shared categorygolf
35match
clubnetapp.com
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0 co-citations0 shared tech1 shared categorygolf
35match
grassrootsgolfohio.com
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0 co-citations0 shared tech1 shared categorygolf
35match
greensceneofficial.com
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0 co-citations0 shared tech1 shared categorygolf

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.