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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

茶_茶 (s7709132003) Stream starting Tuesday 26th March 3:30pm

Followers:

1,469

Views:

0

Status:

Affiliate

Mature:

Yes

Language:

Chinese

Created:

8th Apr 2012

Long-term stats

Start:

Tuesday 26th March 3:30pm

Length:

4 hours, 30 minutes

Watch time:

14 hours

Followers:

0

Views:

7

Tuesday 26th March 4:13am (8 hours, 31 minutes)

Wednesday 27th March 4:45pm (2 hours, 15 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:

1.56

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:

Slightly below

Previous stream trend:

Positive

Stream overview - 茶_茶 (s7709132003)'s stream starting Tuesday 26th March 3:30pm

Expand Image

Apex Legends

Watch time:

16 hours

Stream length:

4 hours, 45 minutes

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.

Max viewers:

5

Game performance:

Slightly above

Views per hour:

3.11

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:

14

Game performance:

Below

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