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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

Knallittv Stream starting Tuesday 29th March 7:47am

Followers:

2,732

Views:

0

Status:

Affiliate

Mature:

Yes

Language:

German

Created:

7th Jul 2020

Long-term stats

Start:

Tuesday 29th March 7:47am

Length:

2 hours, 57 minutes

Watch time:

25 hours

Followers:

5

Views:

21

Monday 28th March 6:16pm (2 hours, 13 minutes)

Tuesday 29th March 6:09pm (1 hour, 20 minutes)

Average viewers:

8

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:

Positive

Views per hour:

7.00

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, particularly if the trend is positive.

Stream performance:

Slightly below

Previous stream trend:

Positive

Stream overview - Knallittv's stream starting Tuesday 29th March 7:47am

Expand Image

Yu-Gi-Oh! Master Duel

Watch time:

25 hours

Stream length:

3 hours, 12 minutes

Average viewers:

8

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:

14

Game performance:

Above

Views per hour:

6.33

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.

Views:

19

Game performance:

Below

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