How many broadcasters use the #shave tag?

Currently 1 broadcasters are live with the #shave tag. Over the past week, the tag has been used 0 times.

What is the average viewer count for #shave streams?

Streams tagged #shave average 0 concurrent viewers based on 7-day data.

How are #shave statistics calculated?

NovaCamX tracks tag usage every 15 minutes across all live broadcasts, aggregating weekly statistics including model count, viewer averages, and co-occurring tags.

Home›Tags›#shave

#shave Broadcasters

1 live now, 18 total found with tag #shave.

Related: #bigboobs #asian #squirt #pinay #lovense #new #cum #ebony #chubby #bigdick #twink #curvy #french #daddy #shy

#BroadcasterViewers

kevin_ahs1 Male

Offline 🇨🇴 CO 24y 18.3K followers

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katana_blade Female

Offline 🇨🇴 CO 16.4K followers

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boobsiemarie Female

Offline 🇵🇭 PH 27y 11.6K followers

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rav3nx_ Female

Offline 🇨🇴 CO 11.4K followers

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andrea_bonnie Female

Offline 🇨🇴 CO 25y 9.6K followers

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mirana_xxx Female

Offline 🇵🇭 PH 7.3K followers

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zoewillian Female

LIVE 🇨🇴 CO 19y 4.3K followers

pt35l Male

Offline 23y 2.2K followers

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urasian_dreamgirl69 Female

Offline 🇵🇭 PH 30y 1.9K followers

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velvetspell Female

Offline 🇷🇴 RO 26y 1.2K followers

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evangeliine_tay Female

Offline 🇨🇴 CO 976 followers

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mia_noir2701 Female

Offline 🇨🇴 CO 24y 860 followers

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valkiria_wine Female

Offline 🇨🇴 CO 32y 566 followers

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sexy_shamy Female

Offline 🇵🇭 PH 21y 479 followers

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armanda25 Female

Offline 367 followers

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empress_ivy1 Female

Offline 🇰🇪 KE 158 followers

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ameliaa_smithh Female

Offline 🇨🇴 CO 25y 63 followers

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samantha_cooper__ Female

Offline 🇨🇴 CO 39 followers

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About the #shave Category

The #shave tag is currently used by 1 live broadcasters. Over the past week, 18 unique models have streamed with this tag, averaging 0 viewers per stream.

Broadcasters who use #shave often also tag their streams with #bigboobs, #asian, #squirt, #pinay, #lovense, #new. Exploring related tags can help you discover similar content.

NovaCamX tracks tag usage across all broadcasters every 15 minutes, building trend data that shows which categories are growing in popularity over time.