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42match
elisabeth-trissenaar.com
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0 co-citations1 shared tech1 shared categorytheater
41match
adk-bayern.com
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0 co-citations1 shared tech1 shared categorytheater
40match
julialwowski.com
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0 co-citations1 shared tech1 shared categoryopera
40match
fsr-bayern.de 🇩🇪
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0 co-citations1 shared tech1 shared categorytheater
38match
ivanakonovic.com
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0 co-citations1 shared tech1 shared categorytheater
38match
theater-der-gefuehle.de 🇩🇪
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0 co-citations1 shared tech1 shared categorytheater
38match
kauter-und-sauter.de 🇩🇪
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0 co-citations1 shared tech1 shared categorytheater
35match
grewenig.com
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0 co-citations0 shared tech1 shared categorytheater
35match
die-schausteller.com
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0 co-citations0 shared tech1 shared categorytheater
35match
elisabethbrueck.com
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0 co-citations0 shared tech1 shared categorytheater
35match
fred-ape.de 🇩🇪
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0 co-citations0 shared tech1 shared categorytheater
35match
fundaproduktions.de 🇩🇪
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0 co-citations0 shared tech1 shared categorytheater
35match
fundaferunstaltungen.de 🇩🇪
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0 co-citations0 shared tech1 shared categorytheater
35match
propwork-orange.de 🇩🇪
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0 co-citations0 shared tech1 shared categorytheater
35match
propwork.de 🇩🇪
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0 co-citations0 shared tech1 shared categorytheater
35match
theater-mit-puppen.de 🇩🇪
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0 co-citations0 shared tech1 shared categorytheater
32match
diewasseroper.com
Die Wasseroper
0 co-citations2 shared tech1 shared categorytheater
31match
theaterfundamental.de 🇩🇪
Theater Fundamental | Home
0 co-citations1 shared tech1 shared categorytheater

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.