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73match
mankatorugbyalumni.com
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4 co-citations7 shared tech0 shared categoryrugby
63match
grassrootsgolfohio.com
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3 co-citations8 shared tech0 shared categorygolf
61match
gravitysafetysolutions.com
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3 co-citations0 shared tech1 shared categoryclimbing
59match
cornerflagtraining.com
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3 co-citations7 shared tech0 shared categorysports
59match
borealfc.com
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3 co-citations8 shared tech0 shared categorysoccer
59match
elitekeeperacademy.com
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2 co-citations8 shared tech0 shared categorysoccer
56match
advancebaseball.com
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2 co-citations7 shared tech0 shared categorybaseball
56match
crae-services.com
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3 co-citations7 shared tech0 shared categoryhunting-and-shooting
56match
dialedingolfaz.com
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2 co-citations7 shared tech0 shared categorygolf
54match
crankcourage.com
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2 co-citations7 shared tech0 shared categorycycling
53match
cbyequestrian.com
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2 co-citations8 shared tech0 shared categoryequine-sports
52match
aquaticsandeducation.com
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2 co-citations7 shared tech0 shared categoryswimming
50match
geoffsguideservice.com
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1 co-citations8 shared tech0 shared categoryfishing-sports
49match
gravityniagara.com
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2 co-citations1 shared tech1 shared categoryclimbing
49match
aphshowteam.com
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2 co-citations5 shared tech0 shared categoryequine-sports
48match
7unitedsc.com
7 United Soccer Club
3 co-citations8 shared tech0 shared categorysoccer
47match
gridironeliteapparel.com
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1 co-citations7 shared tech0 shared categoryamerican-football
45match
elcaminoranchwi.com
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1 co-citations7 shared tech0 shared categoryequine-sports

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.