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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

NYC_Thresh Stream starting Wednesday 29th September 3:26pm

Followers:

7,301

Views:

0

Status:

Affiliate

Mature:

No

Language:

English

Created:

5th Apr 2015

Long-term stats

Start:

Wednesday 29th September 3:26pm

Length:

6 hours, 3 minutes

Watch time:

208 hours

Followers:

2

Views:

202

Wednesday 29th September 4:23am (2 hours, 6 minutes)

Friday 1st October 3:25am (9 hours, 19 minutes)

Average viewers:

33

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:

Negative

Views per hour:

33.67

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:

Below

Previous stream trend:

Positive

Stream overview - NYC_Thresh's stream starting Wednesday 29th September 3:26pm

Expand Image

League of Legends

Watch time:

208 hours

Stream length:

6 hours, 18 minutes

Average viewers:

33

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:

Below

Views per hour:

32.32

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:

202

Game performance:

Below

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