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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

TastyMond Stream starting Wednesday 27th March 8:30pm

Followers:

1,214

Views:

0

Status:

Affiliate

Mature:

Yes

Language:

English

Created:

4th Aug 2012

Long-term stats

Start:

Wednesday 27th March 8:30pm

Length:

2 hours, 30 minutes

Watch time:

9 hours

Followers:

0

Views:

2

Tuesday 26th March 9:00pm (2 hours, 15 minutes)

Thursday 28th March 7:00pm (5 hours)

Average viewers:

4

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:

0.80

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

Stream overview - TastyMond's stream starting Wednesday 27th March 8:30pm

Expand Image

Sekiro: Shadows Die Twice

Watch time:

9 hours, 45 minutes

Stream length:

2 hours, 45 minutes

Average viewers:

4

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:

5

Game performance:

On par

Views per hour:

0.80

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:

2

Game performance:

Below

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