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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

MONSTERclutch Stream starting Thursday 26th October 10:30pm

Followers:

14,394

Views:

0

Status:

Affiliate

Mature:

No

Language:

English

Created:

27th Dec 2016

Long-term stats

Start:

Thursday 26th October 10:30pm

Length:

11 hours

Watch time:

11 hours

Followers:

1

Views:

13

Wednesday 25th October 2:15am (7 hours, 30 minutes)

Monday 30th October 4:00am (6 hours)

Average viewers:

1

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:

1.13

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 below

Previous stream trend:

Negative

Stream overview - MONSTERclutch's stream starting Thursday 26th October 10:30pm

Expand Image

League of Legends

Watch time:

19 hours

Stream length:

11 hours

Average viewers:

2

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:

4

Game performance:

Slightly above

Views per hour:

0.96

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:

11

Game performance:

Below

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