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90match
hammerheadofficial.com
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1 co-citations2 shared tech1 shared categoryfishing-sports
80match
afs-official.com
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1 co-citations3 shared tech0 shared categoryamerican-football
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matildasactive.com
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1 co-citations3 shared tech0 shared categorysoccer
75match
georgiamarineoutlet.com
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70match
jamswearables.com
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1 co-citations2 shared tech0 shared categorysports-equipment
70match
a33sports.com
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1 co-citations2 shared tech0 shared categorysoccer
70match
adrenaline27.com
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1 co-citations2 shared tech0 shared categorybaseball
70match
apneapoolcomps.com
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1 co-citations2 shared tech0 shared categorydiving
70match
bonfirebaseball.com
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1 co-citations2 shared tech0 shared categorybaseball
70match
ccteamclash.com
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1 co-citations2 shared tech0 shared categorysports
70match
cetilabs.com
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1 co-citations2 shared tech0 shared categorydiving
70match
cottonwoodlacrosse.com
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1 co-citations2 shared tech0 shared categorylacrosse
70match
coxbikes.com
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1 co-citations2 shared tech0 shared categorycycling
70match
elitebjjevents.com
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1 co-citations2 shared tech0 shared categorymartial-arts
70match
elitebatting.com
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1 co-citations2 shared tech0 shared categorybaseball
70match
fccolumbia.com
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1 co-citations2 shared tech0 shared categorysoccer
70match
gergelymuranyi.com
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1 co-citations2 shared tech0 shared categorysports
70match
getboxtoday.com
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1 co-citations2 shared tech0 shared categoryboxing

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.