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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

Oita Stream starting Monday 29th November 6:02am

Followers:

8,743

Views:

0

Status:

Affiliate

Mature:

No

Language:

Thai

Created:

17th Feb 2017

Long-term stats

Start:

Monday 29th November 6:02am

Length:

11 hours

Watch time:

332 hours

Followers:

16

Views:

1,309

inwza007 Joo Joo Train

Sunday 28th November 7:41am (9 hours, 33 minutes)

Tuesday 30th November 9:36am (5 hours, 53 minutes)

Average viewers:

29

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:

113.83

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:

Below

Previous stream trend:

Positive

Stream overview - Oita's stream starting Monday 29th November 6:02am

Expand Image

Apex Legends

Watch time:

338 hours

Stream length:

11 hours

Average viewers:

29

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:

43

Game performance:

On par

Views per hour:

111.40

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:

1,309

Game performance:

Below

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