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70match
keizerlittleleague.com
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7 co-citations10 shared tech2 shared categorybaseball
69match
laquintaysa.com
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6 co-citations10 shared tech2 shared categorybaseball
68match
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5 co-citations10 shared tech2 shared categorybaseball
68match
kennedyparkbaseball.com
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5 co-citations10 shared tech2 shared categorybaseball
68match
ivcyouthathletics.com
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4 co-citations10 shared tech2 shared categorysoftball
65match
couloak.com
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6 co-citations10 shared tech2 shared categorybaseball
65match
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5 co-citations10 shared tech2 shared categorysoftball
59match
greenwoodbaseball.com
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7 co-citations10 shared tech1 shared categorybaseball
58match
hobgoodparkbaseball.com
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5 co-citations10 shared tech1 shared categorybaseball
58match
kentonlittleleague.com
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6 co-citations10 shared tech1 shared categorybaseball
58match
iwvyb.com
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5 co-citations10 shared tech1 shared categorybaseball
58match
fcgso.com
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4 co-citations10 shared tech1 shared categorysoftball
57match
coralspringssoftball.com
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4 co-citations10 shared tech1 shared categorysoftball
55match
ivbaseball.com
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5 co-citations10 shared tech1 shared categorybaseball
55match
dexterlittleleague.com
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7 co-citations10 shared tech1 shared categorybaseball
55match
holidaybaseball.com
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6 co-citations10 shared tech1 shared categorybaseball
55match
devinelittleleague.com
Devine Little League > Home
5 co-citations10 shared tech2 shared categorysoftball
55match
mantualittleleague.com
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5 co-citations10 shared tech1 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.