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SullyGnome - Twitch stats and analysis

Timezone: (UTC) Coordinated Universal Time

灰色領域 (loafergray) Stream starting Sunday 14th March 1:38pm

Followers:

1,610

Views:

0

Status:

Affiliate

Mature:

Yes

Language:

Chinese

Created:

2nd Jun 2014

Long-term stats

Start:

Sunday 14th March 1:38pm

Length:

5 hours, 6 minutes

Watch time:

24 hours

Followers:

1

Views:

95

Sunday 7th March 1:12pm (2 hours, 2 minutes)

Saturday 20th March 6:32am (4 hours, 42 minutes)

Average viewers:

6

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:

19.00

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:

On par

Previous stream trend:

Negative

Stream overview - 灰色領域 (loafergray)'s stream starting Sunday 14th March 1:38pm

Expand Image

Rust

Watch time:

29 hours

Stream length:

5 hours, 21 minutes

Average viewers:

6

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:

9

Game performance:

Slightly above

Views per hour:

19.00

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.

Views:

95

Game performance:

Below

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