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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

maestro_yi_main Stream starting Wednesday 14th April 1:29am

Followers:

24,341

Views:

0

Status:

Partnered

Mature:

No

Language:

Spanish

Created:

20th Apr 2017

Long-term stats

Start:

Wednesday 14th April 1:29am

Length:

1 hour, 15 minutes

Watch time:

123 hours

Followers:

34

Views:

471

Monday 12th April 11:52pm (4 hours, 7 minutes)

Thursday 15th April 12:04am (3 hours, 10 minutes)

Average viewers:

82

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

Views per hour:

376.80

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:

On par

Previous stream trend:

Positive

Stream overview - maestro_yi_main's stream starting Wednesday 14th April 1:29am

Expand Image

League of Legends

Watch time:

123 hours

Stream length:

1 hour, 30 minutes

Average viewers:

82

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:

126

Game performance:

Below

Views per hour:

314.00

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:

471

Game performance:

Below

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