Japanese Cam Girls Live Data

When does [Maika_Teacher] stream? What is she like? | Stripchat, 91 measured sessions

Measurement period: 2026-06-23 to 2026-09-03 (73 days, 91 observations) / measured independently by this site / category: newcomer-discovery type

Published: / Data updated: / Published by: Japanese Cam Girls Live Data

» I look for Maika_Teacher but can never catch her.
When should I check for her shows on Stripchat?

This site recorded Maika_Teacher 91 times between 2026-06-23 and 2026-09-03 (early-morning focus, early morning second, a tally comparing Thursdays).

The axis is the last observed fan count of 36,847 fans (mostly early morning, Sunday lowest, fan trends as the backbone). You can also track the change over the observation period with the formula (mostly early morning, public shows + group shows, viewed alongside fan trends).

Time zone note: all hours and weekdays on this page are Japan Standard Time (JST, UTC+9). Japan is ahead of the Americas and Europe, so the day can also change.

Here are the three things this article tells you

Scope: records from 27 streaming days between 06-23 and 09-03, plus 91 checks taken every 30 minutes / article updated 09-06

Maika_Teacher has 36,847 fans: look at the change first

Her fan count moved from 46 fans at the first observation to 36,847 fans (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

Maika_Teacher in numbers 1,067.0 people Average viewers Max 5,200 people +36,801 fans Change in fans 46 fans -> 36,847 fans 12 days Broadcast days in the last 30 days 27 days, full period Source: measured by this site (2026-06-23 to 2026-09-03, 91 observations, 30-minute intervals)
The key measured numbers for Maika_Teacher

See the change up to the final 36,847 fans

The independent measurements by this site behind these figures number 91 times (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis). No estimated values have been added (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

Shows were confirmed on 27 days across the whole period (mostly early morning, Thursday second, measured public shows + group shows). This lets you smooth out day-to-day differences (mostly early morning, Thursday second, measured public shows + group shows).

A simple conversion gives 91 times x 0.5 hours = 45.5 hours (early-morning focus, early morning second, a tally comparing Thursdays). This adds up observations taken every 30 minutes (Wednesdays highest, early-morning focus, range of public show + group show).

Over the 30 days from 2026-08-08 to 2026-09-06, we confirmed 12 days (early-morning focus, Thursdays second, measured public show + group show).

Viewers average 1,067.0 people, with a maximum of 5,200 people (Sunday lowest, mostly early morning, newcomer-discovery style fan trend axis). Look at the range in scale too (mostly early morning, early morning second, a tally comparing Thursday).

We confirmed her fan count up to 36,847 fans (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis). Viewing it together with the hours makes it easier to decide how often to drop in (early-morning focus, Thursdays second, measured public show + group show).

Fit it to your daily schedule and put the 6:00 JST hour as your first checking slot (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

Note: among the hours on record, the 11:00 JST hour is the lowest at 1 session (mostly early morning, early morning second, a tally comparing Thursday). Avoid narrowing your search to this hour alone (Wednesday highest, mostly early morning, within public shows + group shows).

How did Maika_Teacher's fan count move during the observation period?

From 46 fans at the first observation to 36,847 fans, a change of +36,801 fans (early-morning focus, Thursdays second, measured public show + group show).

Fan count over time (end-of-month observations) 811 fans 2026-06 16,259 fans 2026-07 33,006 fans 2026-08 36,847 fans 2026-09 Source: measured by this site (2026-06-23 to 2026-09-03, 91 observations, favorite counts at the last observation of each JST month)
Maika_Teacher's monthly fan count trend

Change from 46 fans to 36,847 fans

The increase is 36,847 fans - 46 fans = 36,801 fans (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis). We've laid out the original numbers alongside the formula (early-morning focus, public show + group show, a view connecting fan growth).

The average between month-end observations is about 36,801 fans / 3 intervals = 12,267.0 fans (early-morning focus, Sundays lowest, fan growth as the main axis). The denominator is the intervals between month-end values (early-morning focus, early morning second, a tally comparing Thursdays).

The largest increase was in 2026-08: 33,006 fans - 16,259 fans = 16,747 fans (early-morning focus, public show + group show, a view connecting fan growth).

Her best-ever rank among Japanese performers is 1st, and her median observed rank is 12th (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

Check the month-to-month differences too, and if you follow her on a day you catch a show, you'll be able to find her again (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

Note: this increase or decrease is a comparison within this site's observation period and is not a number that guarantees future fan counts (mostly early morning, Thursday second, measured public shows + group shows).

When does Maika_Teacher stream? Check the 6:00 JST hour and Wednesday separately

By hour, the 6:00 JST hour with 21 times was highest, and by weekday, Wednesday with 28 times (early-morning focus, public show + group show, a view connecting fan growth).

When can you catch her? (observed JST hour x weekday) By hour (24 hours) 0 1 2 3 4 5 6 21 times 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 By weekday (observation count) Mon 0 Tue 12 Wed 28 Thu 26 Fri 10 Sat 9 Sun 6 Peak 6:00 JST hour Wednesday Source: measured by this site (2026-06-23 to 2026-09-03, 91 observations, tallied by adding 9 hours to UTC)
Maika_Teacher's observation counts by JST hour and by weekday

The 6:00 JST hour with 21 times is the highest by hour

The 6:00 JST hour JST tied at 21 times (early-morning focus, Sundays lowest, fan growth as the main axis). You can use it to set your checking order (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

The 7:00 JST hour JST tied at 21 times (early-morning focus, public show + group show, a view connecting fan growth). You can use it to set your checking order (early-morning focus, Thursdays second, measured public show + group show).

The 5:00 JST hour JST came to 16 times (early-morning focus, Thursdays second, measured public show + group show). You can use it to set your checking order (early-morning focus, Thursdays second, measured public show + group show).

The 8:00 JST hour JST came to 14 times (early-morning focus, public show + group show, a view connecting fan growth). You can use it to set your checking order (early-morning focus, Thursdays second, measured public show + group show).

By weekday, Wednesday is highest with 28 times (Wednesdays highest, early-morning focus, range of public show + group show). It is tallied separately from the hours (early-morning focus, early morning second, a tally comparing Thursdays).

Shows between 0:00 and 5:00 are counted under the previous day's column (mostly early morning, Thursday second, measured public shows + group shows). It is the same counting style as "26:00" on TV (Sunday lowest, mostly early morning, newcomer-discovery style fan trend axis).

If you come up empty, check only the 8:00 JST hour with its 14 sessions, which comes next in observation order (mostly early morning, Thursday second, measured public shows + group shows).

Note: among the weekdays on record, Sunday was the lowest at 6 sessions (mostly early morning, public shows + group shows, viewed alongside fan trends). Avoid fixing on that day alone (mostly early morning, public shows + group shows, viewed alongside fan trends).

* The broadcast days and hours listed here are past records. They do not guarantee the next broadcast, and her own schedule can change at any time

Pick how to start based on Maika_Teacher's show breakdown

The most common was public show with 59 times (early-morning focus, early morning second, a tally comparing Thursdays). That was 64.8% of the total (early-morning focus, early morning second, a tally comparing Thursdays).

What the 91 shows consisted of (measured) Public show 64.8% (59 times) Group show 34.1% (31 times) 1-on-1 (p2p) 1.1% (1 time) Source: measured by this site (2026-06-23 to 2026-09-03, 91 observations, tallied by status)
Maika_Teacher's measured breakdown by show status

59 public shows, the most

Public shows came to 59 times (early-morning focus, Sundays lowest, fan growth as the main axis). That share is 64.8% (early-morning focus, early morning second, a tally comparing Thursdays).

Next most common was group show (a show where several people enter the same room to watch) with 31 times, or 34.1% (early-morning focus, Thursdays second, measured public show + group show).

Private shows came to 1 time, or 1.1% of the total (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis). You can judge how often she does one-on-one slots (Sundays lowest, early-morning focus, newcomer-discovery type with a fan-growth axis).

If you are unsure how to enjoy it, start with a public show and wait for the next show type (mostly early morning, Sunday lowest, fan trends as the backbone).

Note: among the show types on record, one-on-one (a format where you interact with the performer individually) is the lowest at 1 session (mostly early morning, public shows + group shows, viewed alongside fan trends). This is not a guarantee that you will see this type next time (Wednesday highest, mostly early morning, within public shows + group shows).

Summary: the order to go watch Maika_Teacher

The conclusion is to check the 6:00 JST hour, 21 sessions first, then confirm Wednesday's record separately (mostly early morning, early morning second, a tally comparing Thursday).

Comparing the first and last fan counts First observation 46 fans Last observation 36,847 fans Change: +36,801 fans Source: measured by this site (2026-06-23 to 2026-09-03, 91 observations, favorite counts at the first and last observation)
Maika_Teacher's first vs. last fan count comparison

Start checking from the 6:00 JST hour with 21 times

Check the 6:00 JST hour first, and if you miss her, move to the 8:00 JST hour just once (Wednesdays highest, early-morning focus, range of public show + group show).

She's a good fit for people who match the following measured conditions (early-morning focus, Sundays lowest, fan growth as the main axis).

If she's not for you, check these conditions first (early-morning focus, Thursdays second, measured public show + group show).

The checking steps are as follows (mostly early morning, early morning second, a tally comparing Thursday).

  1. Look at the measured 21 times in the 6:00 JST hour first (early-morning focus, public show + group show, a view connecting fan growth).
  2. Use Wednesday's 28 sessions as another guide (mostly early morning, public shows + group shows, viewed alongside fan trends).
  3. Pick an entry point that matches public show 64.8% (early-morning focus, early morning second, a tally comparing Thursdays).
  4. Don't narrow it down to just 1 time in the 11:00 JST hour (early-morning focus, Sundays lowest, fan growth as the main axis).
Check Maika_Teacher's own pageOpens her own page on Stripchat

Back to the Japanese Cam Girls Live Data article list

The numbers in this article are measured records as of 2026-09-06. They are past records and do not guarantee the next broadcast. Broadcast schedules, prices and settings can be changed by the performer at any time. Records are taken every 30 minutes, so short broadcasts in between may not appear in the record. All numbers are measured values recorded every 30 minutes from publicly available data, with no guessing or manual entry.