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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

NYC_Thresh Stream starting Thursday 24th June 7:39am

Followers:

7,300

Views:

0

Status:

Affiliate

Mature:

No

Language:

English

Created:

5th Apr 2015

Long-term stats

Start:

Thursday 24th June 7:39am

Length:

8 hours, 20 minutes

Watch time:

553 hours

Followers:

15

Views:

701

Tuesday 22nd June 11:29pm (6 hours, 30 minutes)

Saturday 26th June 4:36am (12 hours)

Average viewers:

69

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:

Negative

Views per hour:

84.97

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 above

Previous stream trend:

Positive

Stream overview - NYC_Thresh's stream starting Thursday 24th June 7:39am

Expand Image

League of Legends

Watch time:

590 hours

Stream length:

8 hours, 35 minutes

Average viewers:

69

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:

127

Game performance:

On par

Views per hour:

82.88

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:

663

Game performance:

Below

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