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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

moosyj Stream starting Tuesday 29th June 1:53pm

Followers:

3,609

Views:

0

Status:

Affiliate

Mature:

No

Language:

English

Created:

11th May 2016

Long-term stats

Start:

Tuesday 29th June 1:53pm

Length:

2 hours, 36 minutes

Watch time:

14 hours

Followers:

1

Views:

35

Tuesday 29th June 9:18am (3 hours, 56 minutes)

Wednesday 30th June 6:50am (5 hours, 24 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, particularly if the trend is positive.

Stream performance:

Slightly below

Previous stream trend:

Negative

Views per hour:

15.56

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:

Above

Previous stream trend:

Negative

Stream overview - moosyj's stream starting Tuesday 29th June 1:53pm

Expand Image

League of Legends

Watch time:

14 hours

Stream length:

2 hours, 51 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:

7

Game performance:

Slightly below

Views per hour:

14.00

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:

35

Game performance:

Below

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