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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

Oita Stream starting Monday 26th April 5:10pm

Followers:

8,738

Views:

0

Status:

Affiliate

Mature:

No

Language:

Thai

Created:

17th Feb 2017

Long-term stats

Start:

Monday 26th April 5:10pm

Length:

3 hours, 4 minutes

Watch time:

18 hours

Followers:

4

Views:

82

inwza007 Joo Joo Train

Monday 26th April 3:50am (9 hours, 54 minutes)

Tuesday 27th April 2:55am (12 hours)

Average viewers:

6

There is usually a high degree of variance between streams and averages can get easily skewed (by a large raid for example). This panel uses standard deviation of calculate an expected range and then displays whether or not the stream falls within this range. Please note that being on par is not a negative, particularly if the trend is positive.

Stream performance:

Slightly below

Previous stream trend:

Negative

Views per hour:

29.82

There is usually a high degree of variance between streams and averages can get easily skewed (by a large raid for example). This panel uses standard deviation of calculate an expected range and then displays whether or not the stream falls within this range. Please note that being on par is not a negative, particularly if the trend is positive.

Stream performance:

Slightly below

Previous stream trend:

Positive

Stream overview - Oita's stream starting Monday 26th April 5:10pm

Expand Image

Apex Legends

Watch time:

18 hours

Stream length:

3 hours, 19 minutes

Average viewers:

6

There is usually a high degree of variance between streams and averages can get easily skewed (by a large raid for example). This panel uses standard deviation of calculate an expected range and then displays whether or not the stream falls within this range. Please note that being on par is not a negative.

Max viewers:

9

Game performance:

Below

Views per hour:

27.33

There is usually a high degree of variance between streams and averages can get easily skewed (by a large raid for example). This panel uses standard deviation of calculate an expected range and then displays whether or not the stream falls within this range. Please note that being on par is not a negative.

Views:

82

Game performance:

Below

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