Marc Rebillet Live Stream Statistics
Main Stats
Number of Live Streams done: 108 streams
Total music ranked: 1014 songs
Total music length ranked: 5 days, 13:37:37
Date when first stream ranked and pushed on the website: 24th October 2020
Average music time per streams: 1:14:47
Longest music time for a stream: 2:38:10, ONE MILLION SUBS LIVE STREAM
Average song length: 0:07:57
Longest song: 0:50:00, Taste like candy
Average number of songs per stream: 9.39 songs
Highest number of songs for a stream: 26 songs, 20K SUBSCRIBERS LIVE PERFORMANCE STREAM
Advanced Statistics and Analysis
Overview of the songs and streams properties over time. To make the following plots in this section, interludes and cut streams (live with songs with the (cut) tag) have been removed, which leads to some differences compared to the stats shown before and above.
Rank study
Fig. 1: Songs rank distribution.
Fig. 2: Songs rank distribution for each stream type.
Fig. 3: Songs length distribution for each stream type.
Figure 1 shows the song rank distribution for each possible rank. We can see that the vast majority of the songs are B+ followed by B-tier. This is due to the fact that on average, Marc songs are great. The third and fourth positions are A and S tier. The songs ranked A+ tend to finish in the S tier with some time, explaining the lower number of A+ compared to A and S tier. Lastly, C+, C and D-tier are under represented, which is also a proof of overall high song quality.
A more detailed repartition of the ranks for each stream type is shown Figure 2. The represented percentage is the number of songs with rank X in for a stream type divided by the total number of songs for this stream type. The live streams with public tend to have more B+ songs. This might be linked to the fact that song lengths in public streams are shorter and less developed, leading to a better entertainment for the public. Twitch streams has higher percentage of high ranked song, because Twitch streams tend to have longer and more developed songs (which I prefer).
Figure 3 confirms this hypothesis. The songs length as a function of the ranks and the stream type is shown. We observe that YouTube and Twitch streams have a much higher song length on average compared to public streams. We can also see a clear correlation with the rank and the song length: higher ranked songs tend to be longer.
Evolution of my ranking over time
Fig. 4: Percentage of S, A+ and A for each stream as a function of the live date (x axis) and the date I ranked the live (y axis).
Fig. 5: Percentage of B+ and B for each stream as a function of the live date (x axis) and the date I ranked the live (y axis).
Fig. 6: Percentage of C+, C and D for each stream as a function of the live date (x axis) and the date I ranked the live (y axis).
In order to see how the ranking of the songs evolved over time, we can count the number of each rank as a function of the stream date and the date when I ranked them. Figure 4, 5 and 6 show the percentage of [S, A+, A], [B+, B] and [C+, C, D] as a function of those two variables.
In Figure 4, we can see that the percentage increase over time. If a stream is recent, it has a higher probability to have [S, A+, A] songs. In addition, this percentage doesn't really change compared to when I started ranking the streams.
In Figure 5, we observe a great increase of the [B+, B] songs for recently ranked streams. This trend can also be seen in Fig. 6, where [C+, C, D] nearly disappeared with recently ranked streams.
Two hypotheses can be formulated: either Marc song quality increased over time, or I have become more lenient in ranking, but I think it's a combination of both.
Evolution of stream properties over time
Fig. 7: Mean stream length per month.
Fig. 8: Mean songs length per stream for each month.
Fig. 9: Mean number of song per stream for each month.
Fig. 10: Stacked plot of the number of each stream types for each month.
The streams have an average of 1 hour and 17 minutes of pure music. Figure 7 shows the mean stream length per month. Before covid, the music length per streams was around 50 min, less than the average, as a lot of time was dedicated to callers. We can also see the live streams at Braindead early 2018, with a higher music length per stream. Then covid hit, the stream length increased along with the time to make music.
Typically, the average duration of songs in streams is around 8 minutes and 40 seconds. In Fig. 8, we can see the evolution of the songs length over time, which increases over time, with a peak around min 2020 until mid-2021, during covid time.
For the number of songs produced per stream, the average is around 8.8 songs. We observe in Fig. 9. a peak in Spring-Summer 2018, which corresponds to live streams in Braindead, where the average song lengths were around 4 min while still streaming for 2h long (see Fig. 7 and Fig. 10). Otherwise, this average stays constant over time with a slight decrease toward the end, maybe caused by a higher time dedicated to develop the songs.