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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

油到滑倒的阿北 (sydney_601) Stream starting Tuesday 28th November 10:00am

Followers:

804

Views:

0

Status:

Affiliate

Mature:

Yes

Language:

Chinese

Created:

21st May 2015

Long-term stats

Start:

Tuesday 28th November 10:00am

Length:

0 hours, 45 minutes

Watch time:

4 hours

Followers:

0

Views:

5

Tuesday 28th November 9:00am (0 hours, 15 minutes)

Tuesday 28th November 2:45pm (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, particularly if the trend is positive.

Stream performance:

On par

Previous stream trend:

Positive

Views per hour:

6.67

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:

Positive

Stream overview - 油到滑倒的阿北 (sydney_601)'s stream starting Tuesday 28th November 10:00am

Expand Image

The Evil Within 2

Watch time:

4 hours

Stream length:

1 hour

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:

4

Game performance:

Slightly below

Views per hour:

0

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:

0

Game performance:

Below

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