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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

steamybiscuit Stream starting Tuesday 21st December 9:08pm

Followers:

872

Views:

0

Status:

Affiliate

Mature:

Yes

Language:

English

Created:

21st Apr 2016

Long-term stats

Start:

Tuesday 21st December 9:08pm

Length:

9 hours, 36 minutes

Watch time:

15 hours

Followers:

3

Views:

24

Tuesday 21st December 5:48pm (2 hours, 41 minutes)

Thursday 23rd December 1:19am (11 hours)

Average viewers:

3

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:

On par

Previous stream trend:

Negative

Views per hour:

2.53

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:

On par

Previous stream trend:

Negative

Stream overview - steamybiscuit's stream starting Tuesday 21st December 9:08pm

Expand Image

Sekiro: Shadows Die Twice

Watch time:

24 hours

Stream length:

9 hours, 51 minutes

Average viewers:

2

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:

6

Game performance:

Slightly above

Views per hour:

2.26

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:

22

Game performance:

Below

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