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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

Aipha Stream starting Sunday 24th November 10:02pm

Followers:

103,752

Views:

0

Status:

Partnered

Mature:

No

Language:

English

Created:

4th Feb 2015

Long-term stats

Start:

Sunday 24th November 10:02pm

Length:

3 hours, 27 minutes

Watch time:

153 hours

Followers:

1

Views:

488

tatmanarmy

Saturday 23rd November 7:56pm (5 hours, 18 minutes)

Tuesday 26th November 8:58pm (6 hours, 16 minutes)

Average viewers:

54

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:

Above

Previous stream trend:

Negative

Views per hour:

150.15

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:

Negative

Stream overview - Aipha's stream starting Sunday 24th November 10:02pm

Expand Image

Fortnite

Watch time:

195 hours

Stream length:

3 hours, 42 minutes

Average viewers:

55

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:

74

Game performance:

Above

Views per hour:

139.43

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:

488

Game performance:

Below

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